##// END OF EJS Templates
pass on IPython Kernel example notebooks...
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1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {},
5 "metadata": {},
6 "source": [
6 "source": [
7 "# Simple animations Using clear_output"
7 "# Simple Animations Using clear_output"
8 ]
8 ]
9 },
9 },
10 {
10 {
11 "cell_type": "markdown",
11 "cell_type": "markdown",
12 "metadata": {},
12 "metadata": {},
13 "source": [
13 "source": [
14 "Sometimes you want to clear the output area in the middle of a calculation. This can be useful for doing simple animations. In terminals, there is the carriage-return (`'\\r'`) for overwriting a single line, but the notebook frontend can clear the whole output area, not just a single line.\n",
14 "Sometimes you want to clear the output area in the middle of a calculation. This can be useful for doing simple animations. In terminals, there is the carriage-return (`'\\r'`) for overwriting a single line, but the notebook frontend can clear the whole output area, not just a single line.\n",
15 "\n",
15 "\n",
16 "To clear output in the Notebook you can use the `clear_output()` function. If you are clearing the output every frame of an animation, calling `clear_output()` will create noticeable flickering. You can use `clear_output(wait=True)` to add the *clear_output* call to a queue. When data becomes available to replace the existing output, the *clear_output* will be called immediately before the new data is added. This avoids the flickering by not rendering the cleared output to the screen."
16 "To clear output in the Notebook you can use the `clear_output()` function. If you are clearing the output every frame of an animation, calling `clear_output()` will create noticeable flickering. You can use `clear_output(wait=True)` to add the *clear_output* call to a queue. When data becomes available to replace the existing output, the *clear_output* will be called immediately before the new data is added. This avoids the flickering by not rendering the cleared output to the screen."
17 ]
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19 {
19 {
20 "cell_type": "markdown",
20 "cell_type": "markdown",
21 "metadata": {},
21 "metadata": {},
22 "source": [
22 "source": [
23 "## Simple example"
23 "## Simple example"
24 ]
24 ]
25 },
25 },
26 {
26 {
27 "cell_type": "markdown",
27 "cell_type": "markdown",
28 "metadata": {},
28 "metadata": {},
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29 "source": [
30 "Here we show our progress iterating through a list:"
30 "Here we show our progress iterating through a list:"
31 ]
31 ]
32 },
32 },
33 {
33 {
34 "cell_type": "code",
34 "cell_type": "code",
35 "execution_count": 1,
35 "execution_count": 1,
36 "metadata": {
36 "metadata": {
37 "collapsed": true
37 "collapsed": true
38 },
38 },
39 "outputs": [],
39 "outputs": [],
40 "source": [
40 "source": [
41 "import sys\n",
41 "import sys\n",
42 "import time"
42 "import time"
43 ]
43 ]
44 },
44 },
45 {
45 {
46 "cell_type": "code",
46 "cell_type": "code",
47 "execution_count": 2,
47 "execution_count": 2,
48 "metadata": {
48 "metadata": {
49 "collapsed": false
49 "collapsed": false
50 },
50 },
51 "outputs": [
51 "outputs": [
52 {
52 {
53 "name": "stdout",
53 "name": "stdout",
54 "output_type": "stream",
54 "output_type": "stream",
55 "text": [
55 "text": [
56 "9\n"
56 "9\n"
57 ]
57 ]
58 }
58 }
59 ],
59 ],
60 "source": [
60 "source": [
61 "from IPython.display import display, clear_output\n",
61 "from IPython.display import display, clear_output\n",
62 "for i in range(10):\n",
62 "for i in range(10):\n",
63 " time.sleep(0.25)\n",
63 " time.sleep(0.25)\n",
64 " clear_output(wait=True)\n",
64 " clear_output(wait=True)\n",
65 " print(i)\n",
65 " print(i)\n",
66 " sys.stdout.flush()"
66 " sys.stdout.flush()"
67 ]
67 ]
68 },
68 },
69 {
69 {
70 "cell_type": "markdown",
70 "cell_type": "markdown",
71 "metadata": {},
71 "metadata": {},
72 "source": [
72 "source": [
73 "## AsyncResult.wait_interactive"
73 "## AsyncResult.wait_interactive"
74 ]
74 ]
75 },
75 },
76 {
76 {
77 "cell_type": "markdown",
77 "cell_type": "markdown",
78 "metadata": {},
78 "metadata": {},
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79 "source": [
80 "The AsyncResult object has a special `wait_interactive()` method, which prints its progress interactively,\n",
80 "The AsyncResult object has a special `wait_interactive()` method, which prints its progress interactively,\n",
81 "so you can watch as your parallel computation completes.\n",
81 "so you can watch as your parallel computation completes.\n",
82 "\n",
82 "\n",
83 "**This example assumes you have an IPython cluster running, which you can start from the [cluster panel](/#clusters)**"
83 "**This example assumes you have an IPython cluster running, which you can start from the [cluster panel](/#clusters)**"
84 ]
84 ]
85 },
85 },
86 {
86 {
87 "cell_type": "code",
87 "cell_type": "code",
88 "execution_count": 3,
88 "execution_count": 3,
89 "metadata": {
89 "metadata": {
90 "collapsed": false
90 "collapsed": false
91 },
91 },
92 "outputs": [
92 "outputs": [
93 {
93 {
94 "name": "stdout",
94 "name": "stdout",
95 "output_type": "stream",
95 "output_type": "stream",
96 "text": [
96 "text": [
97 " 100/100 tasks finished after 6 s\n",
97 " 100/100 tasks finished after 6 s\n",
98 "done\n"
98 "done\n"
99 ]
99 ]
100 }
100 }
101 ],
101 ],
102 "source": [
102 "source": [
103 "from IPython import parallel\n",
103 "from IPython import parallel\n",
104 "rc = parallel.Client()\n",
104 "rc = parallel.Client()\n",
105 "view = rc.load_balanced_view()\n",
105 "view = rc.load_balanced_view()\n",
106 "\n",
106 "\n",
107 "amr = view.map_async(time.sleep, [0.5]*100)\n",
107 "amr = view.map_async(time.sleep, [0.5]*100)\n",
108 "\n",
108 "\n",
109 "amr.wait_interactive()"
109 "amr.wait_interactive()"
110 ]
110 ]
111 },
111 },
112 {
112 {
113 "cell_type": "markdown",
113 "cell_type": "markdown",
114 "metadata": {},
114 "metadata": {},
115 "source": [
115 "source": [
116 "## Matplotlib example"
116 "## Matplotlib example"
117 ]
117 ]
118 },
118 },
119 {
119 {
120 "cell_type": "markdown",
120 "cell_type": "markdown",
121 "metadata": {},
121 "metadata": {},
122 "source": [
122 "source": [
123 "You can also use `clear_output()` to clear figures and plots."
123 "You can also use `clear_output()` to clear figures and plots."
124 ]
124 ]
125 },
125 },
126 {
126 {
127 "cell_type": "code",
127 "cell_type": "code",
128 "execution_count": 4,
128 "execution_count": 4,
129 "metadata": {
129 "metadata": {
130 "collapsed": false
130 "collapsed": false
131 },
131 },
132 "outputs": [],
132 "outputs": [],
133 "source": [
133 "source": [
134 "%matplotlib inline\n",
134 "%matplotlib inline\n",
135 "import numpy as np\n",
135 "import numpy as np\n",
136 "import matplotlib.pyplot as plt"
136 "import matplotlib.pyplot as plt"
137 ]
137 ]
138 },
138 },
139 {
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141 "execution_count": 5,
141 "execution_count": 5,
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1016 "lep5dWMsDnYyPhjcDFfbysIaRxTKo7yv//0kA+9vxz39miOV2qYKTYEoCCR9/ydHRk+m6fhR5WEb\n",
1016 "lep5dWMsDnYyPhjcDFfbysIaRxTKo7yv//0kA+9vxz39miOV2qYKTYEoCCR9/ydHRk+m6fhR5WEb\n",
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1019 "aduCbpu+J2fXYU4+M8MqI8nH5ZUxZd1FegS48VovPxS2nIU1jrpMx98roog9l81jk7sR2MLm92Yq\n",
1019 "aduCbpu+J2fXYU4+M8MqI8nH5ZUxZd1FegS48VovPxS2nIU1jrpMx98roog9l81jk7sR2MLm92Yq\n",
1020 "1CmZHB83jfTV2+m64VuaPj7KLL5v9epXlPbnJiRy2V3lM6wJJBIJ8+7rQ25ZGZ8ePmJWW26FIAp8\n",
1020 "1CmZHB83jfTV2+m64VuaPj7KLL5v9epXlPbnJiRy2V3lM6wJJBIJ8+7rQ25ZGZ8ePmJWW26FIAp8\n",
1021 "tWkWXVv2p1PzPuY25zqGhliH2BI1atQfz0DeuSeK/rUTgLcqODgqeOjJCIoLNaz97SR6neXnR1x5\n",
1021 "tWkWXVv2p1PzPuY25zqGhliH2BI1atQfz0DeuSeK/rUTgLcqODgqeOjJCIoLNaz97SR6neXnR1x5\n",
1022 "9hyLjxzlp5HDCPG2vBuUsoEnnVcvwc7FmUNDnqb0kvVMzx5OKuStzXE828WXh0N9bM7YJiA1MZ9f\n",
1022 "9hyLjxzlp5HDCPG2vBuUsoEnnVcvwc7FmUNDnqb0kvVMzx5OKuStzXE828WXh0N9bM7YJiA1MZ9f\n",
1023 "lxzEzcOBcU93tkV5NxGiKJKyfC0HBz2Bxz1hdFm3FMegpmazp94ILX1RCbHzayafYU2gkMn4YvBA\n",
1023 "lxzEzcOBcU93tkV5NxGiKJKyfC0HBz2Bxz1hdFm3FMegpmazp94ILX1RCbHzayafYU2gkMn4YvBA\n",
1024 "diYk8se58+Y25z+sPfwTGl0p43q9YG5TbsrQEC8eDi2fRsywQLEl6nVoPnsPaZMAFGNqL2xJVVEo\n",
1024 "diYk8se58+Y25z+sPfwTGl0p43q9YG5TbsrQEC8eDi2fRsywQLEl6nVoPnsPaZMAFGNqL2xJVVEo\n",
1025 "5YweH4ZSKeevH4+hLtOZ26Rb8mPUSX48eYpfRo4g2N1yHYZlKiVtF71FwDNjOTzyebI27TG3SbdF\n",
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1031 "u7iQa/74RvklOSxZP4PJQ9/Dw9nyLwjDQrwY276hxYgtURTR/vwFYnEhqsnTkcisI3q2RCqhz5BW\n",
1031 "u7iQa/74RvklOSxZP4PJQ9/Dw9nyLwjDQrwY276hxYgtURTR/vwFYnEhqsnTkcisI3q2RCqhz5BW\n",
1032 "tA33ZeW3R8jNLjG3SUD55/nRwUPsTEhg2agR+Dg5mdukKuHWsTXdtv5AQeQ5jj/yKrrLheY26So5\n",
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1033 "pTpe2RADwCfDWuDtaPrgufWNhJhcfv3yEE0C3Hnoqc44u9pWb5oCTUYOkY+9RtIPf9H5r88JnjYR\n",
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1069 "vj7MHzWSmZu3cLyw6LrPt3Tr+wR7t2dEN+uuLdaUwjwc+HBcFKtOFbM8saBROzql2ho0776AIr4P\n",
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1311 ],
1311 ],
1312 "text/plain": [
1312 "text/plain": [
1313 "<matplotlib.figure.Figure at 0x10f01b310>"
1313 "<matplotlib.figure.Figure at 0x10f01b310>"
1314 ]
1314 ]
1315 },
1315 },
1316 "metadata": {},
1316 "metadata": {},
1317 "output_type": "display_data"
1317 "output_type": "display_data"
1318 }
1318 }
1319 ],
1319 ],
1320 "source": [
1320 "source": [
1321 "from scipy.special import jn\n",
1321 "from scipy.special import jn\n",
1322 "x = np.linspace(0,5)\n",
1322 "x = np.linspace(0,5)\n",
1323 "f, ax = plt.subplots()\n",
1323 "f, ax = plt.subplots()\n",
1324 "ax.set_title(\"Bessel functions\")\n",
1324 "ax.set_title(\"Bessel functions\")\n",
1325 "\n",
1325 "\n",
1326 "for n in range(1,10):\n",
1326 "for n in range(1,10):\n",
1327 " time.sleep(1)\n",
1327 " time.sleep(1)\n",
1328 " ax.plot(x, jn(x,n))\n",
1328 " ax.plot(x, jn(x,n))\n",
1329 " clear_output(wait=True)\n",
1329 " clear_output(wait=True)\n",
1330 " display(f)\n",
1330 " display(f)\n",
1331 "\n",
1331 "\n",
1332 "# close the figure at the end, so we don't get a duplicate\n",
1332 "# close the figure at the end, so we don't get a duplicate\n",
1333 "# of the last plot\n",
1333 "# of the last plot\n",
1334 "plt.close()"
1334 "plt.close()"
1335 ]
1335 ]
1336 }
1336 }
1337 ],
1337 ],
1338 "metadata": {
1338 "metadata": {
1339 "kernelspec": {
1339 "kernelspec": {
1340 "display_name": "Python 3",
1340 "display_name": "Python 3",
1341 "language": "python",
1341 "language": "python",
1342 "name": "python3"
1342 "name": "python3"
1343 },
1343 },
1344 "language_info": {
1344 "language_info": {
1345 "codemirror_mode": {
1345 "codemirror_mode": {
1346 "name": "ipython",
1346 "name": "ipython",
1347 "version": 3
1347 "version": 3
1348 },
1348 },
1349 "file_extension": ".py",
1349 "file_extension": ".py",
1350 "mimetype": "text/x-python",
1350 "mimetype": "text/x-python",
1351 "name": "python",
1351 "name": "python",
1352 "nbconvert_exporter": "python",
1352 "nbconvert_exporter": "python",
1353 "pygments_lexer": "ipython3",
1353 "pygments_lexer": "ipython3",
1354 "version": "3.4.2"
1354 "version": "3.4.2"
1355 }
1355 }
1356 },
1356 },
1357 "nbformat": 4,
1357 "nbformat": 4,
1358 "nbformat_minor": 0
1358 "nbformat_minor": 0
1359 }
1359 }
@@ -1,404 +1,404 b''
1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {},
5 "metadata": {},
6 "source": [
6 "source": [
7 "# Simple interactive bacgkround jobs with IPython\n",
7 "# Simple interactive bacgkround jobs with IPython\n",
8 "\n",
8 "\n",
9 "We start by loading the `backgroundjobs` library and defining a few trivial functions to illustrate things with."
9 "We start by loading the `backgroundjobs` library and defining a few trivial functions to illustrate things with."
10 ]
10 ]
11 },
11 },
12 {
12 {
13 "cell_type": "code",
13 "cell_type": "code",
14 "execution_count": 1,
14 "execution_count": 1,
15 "metadata": {
15 "metadata": {
16 "collapsed": false
16 "collapsed": false
17 },
17 },
18 "outputs": [],
18 "outputs": [],
19 "source": [
19 "source": [
20 "from IPython.lib import backgroundjobs as bg\n",
20 "from IPython.lib import backgroundjobs as bg\n",
21 "\n",
21 "\n",
22 "import sys\n",
22 "import sys\n",
23 "import time\n",
23 "import time\n",
24 "\n",
24 "\n",
25 "def sleepfunc(interval=2, *a, **kw):\n",
25 "def sleepfunc(interval=2, *a, **kw):\n",
26 " args = dict(interval=interval,\n",
26 " args = dict(interval=interval,\n",
27 " args=a,\n",
27 " args=a,\n",
28 " kwargs=kw)\n",
28 " kwargs=kw)\n",
29 " time.sleep(interval)\n",
29 " time.sleep(interval)\n",
30 " return args\n",
30 " return args\n",
31 "\n",
31 "\n",
32 "def diefunc(interval=2, *a, **kw):\n",
32 "def diefunc(interval=2, *a, **kw):\n",
33 " time.sleep(interval)\n",
33 " time.sleep(interval)\n",
34 " raise Exception(\"Dead job with interval %s\" % interval)\n",
34 " raise Exception(\"Dead job with interval %s\" % interval)\n",
35 "\n",
35 "\n",
36 "def printfunc(interval=1, reps=5):\n",
36 "def printfunc(interval=1, reps=5):\n",
37 " for n in range(reps):\n",
37 " for n in range(reps):\n",
38 " time.sleep(interval)\n",
38 " time.sleep(interval)\n",
39 " print 'In the background...', n\n",
39 " print('In the background... %i' % n)\n",
40 " sys.stdout.flush()\n",
40 " sys.stdout.flush()\n",
41 " print 'All done!'\n",
41 " print('All done!')\n",
42 " sys.stdout.flush()"
42 " sys.stdout.flush()"
43 ]
43 ]
44 },
44 },
45 {
45 {
46 "cell_type": "markdown",
46 "cell_type": "markdown",
47 "metadata": {},
47 "metadata": {},
48 "source": [
48 "source": [
49 "Now, we can create a job manager (called simply `jobs`) and use it to submit new jobs.\n",
49 "Now, we can create a job manager (called simply `jobs`) and use it to submit new jobs.\n",
50 "\n",
50 "\n",
51 "Run the cell below, it will show when the jobs start. Wait a few seconds until you see the 'all done' completion message:"
51 "Run the cell below, it will show when the jobs start. Wait a few seconds until you see the 'all done' completion message:"
52 ]
52 ]
53 },
53 },
54 {
54 {
55 "cell_type": "code",
55 "cell_type": "code",
56 "execution_count": 10,
56 "execution_count": 2,
57 "metadata": {
57 "metadata": {
58 "collapsed": false
58 "collapsed": false
59 },
59 },
60 "outputs": [
60 "outputs": [
61 {
61 {
62 "name": "stdout",
62 "name": "stdout",
63 "output_type": "stream",
63 "output_type": "stream",
64 "text": [
64 "text": [
65 "Starting job # 0 in a separate thread.\n",
65 "Starting job # 0 in a separate thread.\n",
66 "Starting job # 2 in a separate thread.\n",
66 "Starting job # 2 in a separate thread.\n",
67 "Starting job # 3 in a separate thread.\n"
67 "Starting job # 3 in a separate thread.\n"
68 ]
68 ]
69 },
69 },
70 {
70 {
71 "data": {
71 "data": {
72 "text/plain": [
72 "text/plain": [
73 "<BackgroundJob #3: printfunc(1,3)>"
73 "<BackgroundJob #3: printfunc(1,3)>"
74 ]
74 ]
75 },
75 },
76 "execution_count": 10,
76 "execution_count": 2,
77 "metadata": {},
77 "metadata": {},
78 "output_type": "execute_result"
78 "output_type": "execute_result"
79 },
79 },
80 {
80 {
81 "name": "stdout",
81 "name": "stdout",
82 "output_type": "stream",
82 "output_type": "stream",
83 "text": [
83 "text": [
84 "In the background... 0\n",
84 "In the background... 0\n",
85 "In the background... 1\n",
85 "In the background... 1\n",
86 "In the background... 2\n",
86 "In the background... 2\n",
87 "All done!\n"
87 "All done!\n"
88 ]
88 ]
89 }
89 }
90 ],
90 ],
91 "source": [
91 "source": [
92 "jobs = bg.BackgroundJobManager()\n",
92 "jobs = bg.BackgroundJobManager()\n",
93 "\n",
93 "\n",
94 "# Start a few jobs, the first one will have ID # 0\n",
94 "# Start a few jobs, the first one will have ID # 0\n",
95 "jobs.new(sleepfunc, 4)\n",
95 "jobs.new(sleepfunc, 4)\n",
96 "jobs.new(sleepfunc, kw={'reps':2})\n",
96 "jobs.new(sleepfunc, kw={'reps':2})\n",
97 "jobs.new('printfunc(1,3)')"
97 "jobs.new('printfunc(1,3)')"
98 ]
98 ]
99 },
99 },
100 {
100 {
101 "cell_type": "markdown",
101 "cell_type": "markdown",
102 "metadata": {},
102 "metadata": {},
103 "source": [
103 "source": [
104 "You can check the status of your jobs at any time:"
104 "You can check the status of your jobs at any time:"
105 ]
105 ]
106 },
106 },
107 {
107 {
108 "cell_type": "code",
108 "cell_type": "code",
109 "execution_count": 11,
109 "execution_count": 3,
110 "metadata": {
110 "metadata": {
111 "collapsed": false
111 "collapsed": false
112 },
112 },
113 "outputs": [
113 "outputs": [
114 {
114 {
115 "name": "stdout",
115 "name": "stdout",
116 "output_type": "stream",
116 "output_type": "stream",
117 "text": [
117 "text": [
118 "Completed jobs:\n",
118 "Completed jobs:\n",
119 "0 : <function sleepfunc at 0x314f848>\n",
119 "0 : <function sleepfunc at 0x10521f2f0>\n",
120 "2 : <function sleepfunc at 0x314f848>\n",
120 "2 : <function sleepfunc at 0x10521f2f0>\n",
121 "3 : printfunc(1,3)\n",
121 "3 : printfunc(1,3)\n",
122 "\n"
122 "\n"
123 ]
123 ]
124 }
124 }
125 ],
125 ],
126 "source": [
126 "source": [
127 "jobs.status()"
127 "jobs.status()"
128 ]
128 ]
129 },
129 },
130 {
130 {
131 "cell_type": "markdown",
131 "cell_type": "markdown",
132 "metadata": {},
132 "metadata": {},
133 "source": [
133 "source": [
134 "For any completed job, you can get its result easily:"
134 "For any completed job, you can get its result easily:"
135 ]
135 ]
136 },
136 },
137 {
137 {
138 "cell_type": "code",
138 "cell_type": "code",
139 "execution_count": 12,
139 "execution_count": 4,
140 "metadata": {
140 "metadata": {
141 "collapsed": false
141 "collapsed": false
142 },
142 },
143 "outputs": [
143 "outputs": [
144 {
144 {
145 "data": {
145 "data": {
146 "text/plain": [
146 "text/plain": [
147 "{'args': (), 'interval': 4, 'kwargs': {}}"
147 "{'args': (), 'interval': 4, 'kwargs': {}}"
148 ]
148 ]
149 },
149 },
150 "execution_count": 12,
150 "execution_count": 4,
151 "metadata": {},
151 "metadata": {},
152 "output_type": "execute_result"
152 "output_type": "execute_result"
153 }
153 }
154 ],
154 ],
155 "source": [
155 "source": [
156 "jobs[0].result"
156 "jobs[0].result"
157 ]
157 ]
158 },
158 },
159 {
159 {
160 "cell_type": "markdown",
160 "cell_type": "markdown",
161 "metadata": {},
161 "metadata": {},
162 "source": [
162 "source": [
163 "## Errors and tracebacks"
163 "## Errors and tracebacks"
164 ]
164 ]
165 },
165 },
166 {
166 {
167 "cell_type": "markdown",
167 "cell_type": "markdown",
168 "metadata": {},
168 "metadata": {},
169 "source": [
169 "source": [
170 "The jobs manager tries to help you with debugging:"
170 "The jobs manager tries to help you with debugging:"
171 ]
171 ]
172 },
172 },
173 {
173 {
174 "cell_type": "code",
174 "cell_type": "code",
175 "execution_count": 13,
175 "execution_count": 5,
176 "metadata": {
176 "metadata": {
177 "collapsed": false
177 "collapsed": false
178 },
178 },
179 "outputs": [
179 "outputs": [
180 {
180 {
181 "name": "stdout",
181 "name": "stdout",
182 "output_type": "stream",
182 "output_type": "stream",
183 "text": [
183 "text": [
184 "Starting job # 4 in a separate thread.\n",
184 "Starting job # 4 in a separate thread.\n",
185 "Starting job # 5 in a separate thread.\n"
185 "Starting job # 5 in a separate thread.\n"
186 ]
186 ]
187 }
187 }
188 ],
188 ],
189 "source": [
189 "source": [
190 "# This makes a couple of jobs which will die. Let's keep a reference to\n",
190 "# This makes a couple of jobs which will die. Let's keep a reference to\n",
191 "# them for easier traceback reporting later\n",
191 "# them for easier traceback reporting later\n",
192 "diejob1 = jobs.new(diefunc, 1)\n",
192 "diejob1 = jobs.new(diefunc, 1)\n",
193 "diejob2 = jobs.new(diefunc, 2)"
193 "diejob2 = jobs.new(diefunc, 2)"
194 ]
194 ]
195 },
195 },
196 {
196 {
197 "cell_type": "markdown",
197 "cell_type": "markdown",
198 "metadata": {},
198 "metadata": {},
199 "source": [
199 "source": [
200 "You can get the traceback of any dead job. Run the line\n",
200 "You can get the traceback of any dead job. Run the line\n",
201 "below again interactively until it prints a traceback (check the status\n",
201 "below again interactively until it prints a traceback (check the status\n",
202 "of the job):\n"
202 "of the job):\n"
203 ]
203 ]
204 },
204 },
205 {
205 {
206 "cell_type": "code",
206 "cell_type": "code",
207 "execution_count": 14,
207 "execution_count": 6,
208 "metadata": {
208 "metadata": {
209 "collapsed": false
209 "collapsed": false
210 },
210 },
211 "outputs": [
211 "outputs": [
212 {
212 {
213 "name": "stdout",
213 "name": "stdout",
214 "output_type": "stream",
214 "output_type": "stream",
215 "text": [
215 "text": [
216 "Status of diejob1: Dead (Exception), call jobs.traceback() for details\n",
216 "Status of diejob1: Dead (Exception), call jobs.traceback() for details\n",
217 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
217 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
218 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
218 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
219 "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
219 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/lib/backgroundjobs.py\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
220 "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
220 "\u001b[0;32m 489\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
221 "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
221 "\u001b[0;32m 490\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
222 "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
222 "\u001b[1;32m--> 491\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
223 "\u001b[0m\n",
223 "\u001b[0m\n",
224 "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
224 "\u001b[1;32m<ipython-input-1-169e49434ce0>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
225 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
225 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
226 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
226 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
227 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
227 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
228 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
228 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
229 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
229 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
230 "\n",
230 "\n",
231 "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n"
231 "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n"
232 ]
232 ]
233 }
233 }
234 ],
234 ],
235 "source": [
235 "source": [
236 "print \"Status of diejob1:\", diejob1.status\n",
236 "print(\"Status of diejob1: %s\" % diejob1.status)\n",
237 "diejob1.traceback() # jobs.traceback(4) would also work here, with the job number"
237 "diejob1.traceback() # jobs.traceback(4) would also work here, with the job number"
238 ]
238 ]
239 },
239 },
240 {
240 {
241 "cell_type": "markdown",
241 "cell_type": "markdown",
242 "metadata": {},
242 "metadata": {},
243 "source": [
243 "source": [
244 "This will print all tracebacks for all dead jobs:"
244 "This will print all tracebacks for all dead jobs:"
245 ]
245 ]
246 },
246 },
247 {
247 {
248 "cell_type": "code",
248 "cell_type": "code",
249 "execution_count": 15,
249 "execution_count": 7,
250 "metadata": {
250 "metadata": {
251 "collapsed": false
251 "collapsed": false
252 },
252 },
253 "outputs": [
253 "outputs": [
254 {
254 {
255 "name": "stdout",
255 "name": "stdout",
256 "output_type": "stream",
256 "output_type": "stream",
257 "text": [
257 "text": [
258 "Traceback for: <BackgroundJob #4: <function diefunc at 0x314f668>>\n",
258 "Traceback for: <BackgroundJob #4: <function diefunc at 0x10521f7b8>>\n",
259 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
259 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
260 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
260 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
261 "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
261 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/lib/backgroundjobs.py\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
262 "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
262 "\u001b[0;32m 489\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
263 "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
263 "\u001b[0;32m 490\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
264 "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
264 "\u001b[1;32m--> 491\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
265 "\u001b[0m\n",
265 "\u001b[0m\n",
266 "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
266 "\u001b[1;32m<ipython-input-1-169e49434ce0>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
267 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
267 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
268 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
268 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
269 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
269 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
270 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
270 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
271 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
271 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
272 "\n",
272 "\n",
273 "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n",
273 "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n",
274 "\n",
274 "\n",
275 "Traceback for: <BackgroundJob #5: <function diefunc at 0x314f668>>\n",
275 "Traceback for: <BackgroundJob #5: <function diefunc at 0x10521f7b8>>\n",
276 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
276 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
277 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
277 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
278 "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
278 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/lib/backgroundjobs.py\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
279 "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
279 "\u001b[0;32m 489\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
280 "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
280 "\u001b[0;32m 490\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
281 "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
281 "\u001b[1;32m--> 491\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
282 "\u001b[0m\n",
282 "\u001b[0m\n",
283 "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
283 "\u001b[1;32m<ipython-input-1-169e49434ce0>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
284 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
284 "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
285 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
285 "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
286 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
286 "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
287 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
287 "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
288 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
288 "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
289 "\n",
289 "\n",
290 "\u001b[1;31mException\u001b[0m: Dead job with interval 2\n",
290 "\u001b[1;31mException\u001b[0m: Dead job with interval 2\n",
291 "\n"
291 "\n"
292 ]
292 ]
293 }
293 }
294 ],
294 ],
295 "source": [
295 "source": [
296 "jobs.traceback()"
296 "jobs.traceback()"
297 ]
297 ]
298 },
298 },
299 {
299 {
300 "cell_type": "markdown",
300 "cell_type": "markdown",
301 "metadata": {},
301 "metadata": {},
302 "source": [
302 "source": [
303 "The job manager can be flushed of all completed jobs at any time:"
303 "The job manager can be flushed of all completed jobs at any time:"
304 ]
304 ]
305 },
305 },
306 {
306 {
307 "cell_type": "code",
307 "cell_type": "code",
308 "execution_count": 16,
308 "execution_count": 8,
309 "metadata": {
309 "metadata": {
310 "collapsed": false
310 "collapsed": false
311 },
311 },
312 "outputs": [
312 "outputs": [
313 {
313 {
314 "name": "stdout",
314 "name": "stdout",
315 "output_type": "stream",
315 "output_type": "stream",
316 "text": [
316 "text": [
317 "Flushing 3 Completed jobs.\n",
317 "Flushing 3 Completed jobs.\n",
318 "Flushing 2 Dead jobs.\n"
318 "Flushing 2 Dead jobs.\n"
319 ]
319 ]
320 }
320 }
321 ],
321 ],
322 "source": [
322 "source": [
323 "jobs.flush()"
323 "jobs.flush()"
324 ]
324 ]
325 },
325 },
326 {
326 {
327 "cell_type": "markdown",
327 "cell_type": "markdown",
328 "metadata": {},
328 "metadata": {},
329 "source": [
329 "source": [
330 "After that, the status is simply empty:"
330 "After that, the status is simply empty:"
331 ]
331 ]
332 },
332 },
333 {
333 {
334 "cell_type": "code",
334 "cell_type": "code",
335 "execution_count": 17,
335 "execution_count": 9,
336 "metadata": {
336 "metadata": {
337 "collapsed": true
337 "collapsed": true
338 },
338 },
339 "outputs": [],
339 "outputs": [],
340 "source": [
340 "source": [
341 "jobs.status()"
341 "jobs.status()"
342 ]
342 ]
343 },
343 },
344 {
344 {
345 "cell_type": "markdown",
345 "cell_type": "markdown",
346 "metadata": {},
346 "metadata": {},
347 "source": [
347 "source": [
348 "Jobs have a `.join` method that lets you wait on their thread for completion:"
348 "Jobs have a `.join` method that lets you wait on their thread for completion:"
349 ]
349 ]
350 },
350 },
351 {
351 {
352 "cell_type": "code",
352 "cell_type": "code",
353 "execution_count": 18,
353 "execution_count": 10,
354 "metadata": {
354 "metadata": {
355 "collapsed": false
355 "collapsed": false
356 },
356 },
357 "outputs": [
357 "outputs": [
358 {
358 {
359 "name": "stdout",
359 "name": "stdout",
360 "output_type": "stream",
360 "output_type": "stream",
361 "text": [
361 "text": [
362 "Starting job # 0 in a separate thread.\n"
362 "Starting job # 0 in a separate thread.\n"
363 ]
363 ]
364 }
364 }
365 ],
365 ],
366 "source": [
366 "source": [
367 "j = jobs.new(sleepfunc, 2)\n",
367 "j = jobs.new(sleepfunc, 2)\n",
368 "j.join?"
368 "j.join?"
369 ]
369 ]
370 },
370 },
371 {
371 {
372 "cell_type": "markdown",
372 "cell_type": "markdown",
373 "metadata": {},
373 "metadata": {},
374 "source": [
374 "source": [
375 "## Exercise\n",
375 "## Exercise\n",
376 "\n",
376 "\n",
377 "1. Start a new job that calls `sleepfunc` with a 5-second wait\n",
377 "1. Start a new job that calls `sleepfunc` with a 5-second wait\n",
378 "2. Print a short message that indicates you are waiting (note: you'll need to flush stdout to see that print output appear).\n",
378 "2. Print a short message that indicates you are waiting (note: you'll need to flush stdout to see that print output appear).\n",
379 "3. Wait on the job and then print its result."
379 "3. Wait on the job and then print its result."
380 ]
380 ]
381 }
381 }
382 ],
382 ],
383 "metadata": {
383 "metadata": {
384 "kernelspec": {
384 "kernelspec": {
385 "display_name": "Python 3",
385 "display_name": "Python 3",
386 "language": "python",
386 "language": "python",
387 "name": "python3"
387 "name": "python3"
388 },
388 },
389 "language_info": {
389 "language_info": {
390 "codemirror_mode": {
390 "codemirror_mode": {
391 "name": "ipython",
391 "name": "ipython",
392 "version": 3
392 "version": 3
393 },
393 },
394 "file_extension": ".py",
394 "file_extension": ".py",
395 "mimetype": "text/x-python",
395 "mimetype": "text/x-python",
396 "name": "python",
396 "name": "python",
397 "nbconvert_exporter": "python",
397 "nbconvert_exporter": "python",
398 "pygments_lexer": "ipython3",
398 "pygments_lexer": "ipython3",
399 "version": "3.4.2"
399 "version": "3.4.2"
400 }
400 }
401 },
401 },
402 "nbformat": 4,
402 "nbformat": 4,
403 "nbformat_minor": 0
403 "nbformat_minor": 0
404 }
404 }
This diff has been collapsed as it changes many lines, (1618 lines changed) Show them Hide them
@@ -1,1823 +1,2523 b''
1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {
5 "metadata": {
6 "slideshow": {
6 "slideshow": {
7 "slide_type": "slide"
7 "slide_type": "slide"
8 }
8 }
9 },
9 },
10 "source": [
10 "source": [
11 "# IPython: beyond plain Python"
11 "# IPython: beyond plain Python"
12 ]
12 ]
13 },
13 },
14 {
14 {
15 "cell_type": "markdown",
15 "cell_type": "markdown",
16 "metadata": {},
16 "metadata": {},
17 "source": [
17 "source": [
18 "When executing code in IPython, all valid Python syntax works as-is, but IPython provides a number of features designed to make the interactive experience more fluid and efficient."
18 "When executing code in IPython, all valid Python syntax works as-is, but IPython provides a number of features designed to make the interactive experience more fluid and efficient."
19 ]
19 ]
20 },
20 },
21 {
21 {
22 "cell_type": "markdown",
22 "cell_type": "markdown",
23 "metadata": {
23 "metadata": {
24 "slideshow": {
24 "slideshow": {
25 "slide_type": "slide"
25 "slide_type": "slide"
26 }
26 }
27 },
27 },
28 "source": [
28 "source": [
29 "## First things first: running code, getting help"
29 "## First things first: running code, getting help"
30 ]
30 ]
31 },
31 },
32 {
32 {
33 "cell_type": "markdown",
33 "cell_type": "markdown",
34 "metadata": {},
34 "metadata": {},
35 "source": [
35 "source": [
36 "In the notebook, to run a cell of code, hit `Shift-Enter`. This executes the cell and puts the cursor in the next cell below, or makes a new one if you are at the end. Alternately, you can use:\n",
36 "In the notebook, to run a cell of code, hit `Shift-Enter`. This executes the cell and puts the cursor in the next cell below, or makes a new one if you are at the end. Alternately, you can use:\n",
37 " \n",
37 " \n",
38 "- `Alt-Enter` to force the creation of a new cell unconditionally (useful when inserting new content in the middle of an existing notebook).\n",
38 "- `Alt-Enter` to force the creation of a new cell unconditionally (useful when inserting new content in the middle of an existing notebook).\n",
39 "- `Control-Enter` executes the cell and keeps the cursor in the same cell, useful for quick experimentation of snippets that you don't need to keep permanently."
39 "- `Control-Enter` executes the cell and keeps the cursor in the same cell, useful for quick experimentation of snippets that you don't need to keep permanently."
40 ]
40 ]
41 },
41 },
42 {
42 {
43 "cell_type": "code",
43 "cell_type": "code",
44 "execution_count": 1,
44 "execution_count": 1,
45 "metadata": {
45 "metadata": {
46 "collapsed": false
46 "collapsed": false
47 },
47 },
48 "outputs": [
48 "outputs": [
49 {
49 {
50 "name": "stdout",
50 "name": "stdout",
51 "output_type": "stream",
51 "output_type": "stream",
52 "text": [
52 "text": [
53 "Hi\n"
53 "Hi\n"
54 ]
54 ]
55 }
55 }
56 ],
56 ],
57 "source": [
57 "source": [
58 "print \"Hi\""
58 "print(\"Hi\")"
59 ]
59 ]
60 },
60 },
61 {
61 {
62 "cell_type": "markdown",
62 "cell_type": "markdown",
63 "metadata": {
63 "metadata": {
64 "slideshow": {
64 "slideshow": {
65 "slide_type": "slide"
65 "slide_type": "slide"
66 }
66 }
67 },
67 },
68 "source": [
68 "source": [
69 "Getting help:"
69 "Getting help:"
70 ]
70 ]
71 },
71 },
72 {
72 {
73 "cell_type": "code",
73 "cell_type": "code",
74 "execution_count": 2,
74 "execution_count": 2,
75 "metadata": {
75 "metadata": {
76 "collapsed": false
76 "collapsed": false
77 },
77 },
78 "outputs": [],
78 "outputs": [],
79 "source": [
79 "source": [
80 "?"
80 "?"
81 ]
81 ]
82 },
82 },
83 {
83 {
84 "cell_type": "markdown",
84 "cell_type": "markdown",
85 "metadata": {
85 "metadata": {
86 "slideshow": {
86 "slideshow": {
87 "slide_type": "slide"
87 "slide_type": "slide"
88 }
88 }
89 },
89 },
90 "source": [
90 "source": [
91 "Typing `object_name?` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes."
91 "Typing `object_name?` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes."
92 ]
92 ]
93 },
93 },
94 {
94 {
95 "cell_type": "code",
95 "cell_type": "code",
96 "execution_count": 3,
96 "execution_count": 3,
97 "metadata": {
97 "metadata": {
98 "collapsed": false
98 "collapsed": false
99 },
99 },
100 "outputs": [],
100 "outputs": [],
101 "source": [
101 "source": [
102 "import collections\n",
102 "import collections\n",
103 "collections.namedtuple?"
103 "collections.namedtuple?"
104 ]
104 ]
105 },
105 },
106 {
106 {
107 "cell_type": "code",
107 "cell_type": "code",
108 "execution_count": 4,
108 "execution_count": 4,
109 "metadata": {
109 "metadata": {
110 "collapsed": false
110 "collapsed": false
111 },
111 },
112 "outputs": [],
112 "outputs": [],
113 "source": [
113 "source": [
114 "collections.Counter??"
114 "collections.Counter??"
115 ]
115 ]
116 },
116 },
117 {
117 {
118 "cell_type": "code",
118 "cell_type": "code",
119 "execution_count": 5,
119 "execution_count": 5,
120 "metadata": {
120 "metadata": {
121 "collapsed": false
121 "collapsed": false
122 },
122 },
123 "outputs": [],
123 "outputs": [],
124 "source": [
124 "source": [
125 "*int*?"
125 "*int*?"
126 ]
126 ]
127 },
127 },
128 {
128 {
129 "cell_type": "markdown",
129 "cell_type": "markdown",
130 "metadata": {
130 "metadata": {
131 "slideshow": {
131 "slideshow": {
132 "slide_type": "slide"
132 "slide_type": "slide"
133 }
133 }
134 },
134 },
135 "source": [
135 "source": [
136 "An IPython quick reference card:"
136 "An IPython quick reference card:"
137 ]
137 ]
138 },
138 },
139 {
139 {
140 "cell_type": "code",
140 "cell_type": "code",
141 "execution_count": 6,
141 "execution_count": 6,
142 "metadata": {
142 "metadata": {
143 "collapsed": false
143 "collapsed": false
144 },
144 },
145 "outputs": [],
145 "outputs": [],
146 "source": [
146 "source": [
147 "%quickref"
147 "%quickref"
148 ]
148 ]
149 },
149 },
150 {
150 {
151 "cell_type": "markdown",
151 "cell_type": "markdown",
152 "metadata": {
152 "metadata": {
153 "slideshow": {
153 "slideshow": {
154 "slide_type": "slide"
154 "slide_type": "slide"
155 }
155 }
156 },
156 },
157 "source": [
157 "source": [
158 "## Tab completion"
158 "## Tab completion"
159 ]
159 ]
160 },
160 },
161 {
161 {
162 "cell_type": "markdown",
162 "cell_type": "markdown",
163 "metadata": {},
163 "metadata": {},
164 "source": [
164 "source": [
165 "Tab completion, especially for attributes, is a convenient way to explore the structure of any object you’re dealing with. Simply type `object_name.<TAB>` to view the object’s attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
165 "Tab completion, especially for attributes, is a convenient way to explore the structure of any object you’re dealing with. Simply type `object_name.<TAB>` to view the object’s attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
166 ]
166 ]
167 },
167 },
168 {
168 {
169 "cell_type": "code",
169 "cell_type": "code",
170 "execution_count": 8,
170 "execution_count": null,
171 "metadata": {
171 "metadata": {
172 "collapsed": false
172 "collapsed": false
173 },
173 },
174 "outputs": [],
174 "outputs": [],
175 "source": [
175 "source": [
176 "collections."
176 "collections."
177 ]
177 ]
178 },
178 },
179 {
179 {
180 "cell_type": "markdown",
180 "cell_type": "markdown",
181 "metadata": {
181 "metadata": {
182 "slideshow": {
182 "slideshow": {
183 "slide_type": "slide"
183 "slide_type": "slide"
184 }
184 }
185 },
185 },
186 "source": [
186 "source": [
187 "## The interactive workflow: input, output, history"
187 "## The interactive workflow: input, output, history"
188 ]
188 ]
189 },
189 },
190 {
190 {
191 "cell_type": "code",
191 "cell_type": "code",
192 "execution_count": 7,
192 "execution_count": 7,
193 "metadata": {
193 "metadata": {
194 "collapsed": false
194 "collapsed": false
195 },
195 },
196 "outputs": [
196 "outputs": [
197 {
197 {
198 "data": {
198 "data": {
199 "text/plain": [
199 "text/plain": [
200 "12"
200 "12"
201 ]
201 ]
202 },
202 },
203 "execution_count": 7,
203 "execution_count": 7,
204 "metadata": {},
204 "metadata": {},
205 "output_type": "execute_result"
205 "output_type": "execute_result"
206 }
206 }
207 ],
207 ],
208 "source": [
208 "source": [
209 "2+10"
209 "2+10"
210 ]
210 ]
211 },
211 },
212 {
212 {
213 "cell_type": "code",
213 "cell_type": "code",
214 "execution_count": 8,
214 "execution_count": 8,
215 "metadata": {
215 "metadata": {
216 "collapsed": false
216 "collapsed": false
217 },
217 },
218 "outputs": [
218 "outputs": [
219 {
219 {
220 "data": {
220 "data": {
221 "text/plain": [
221 "text/plain": [
222 "22"
222 "22"
223 ]
223 ]
224 },
224 },
225 "execution_count": 8,
225 "execution_count": 8,
226 "metadata": {},
226 "metadata": {},
227 "output_type": "execute_result"
227 "output_type": "execute_result"
228 }
228 }
229 ],
229 ],
230 "source": [
230 "source": [
231 "_+10"
231 "_+10"
232 ]
232 ]
233 },
233 },
234 {
234 {
235 "cell_type": "markdown",
235 "cell_type": "markdown",
236 "metadata": {
236 "metadata": {
237 "slideshow": {
237 "slideshow": {
238 "slide_type": "slide"
238 "slide_type": "slide"
239 }
239 }
240 },
240 },
241 "source": [
241 "source": [
242 "You can suppress the storage and rendering of output if you append `;` to the last cell (this comes in handy when plotting with matplotlib, for example):"
242 "You can suppress the storage and rendering of output if you append `;` to the last cell (this comes in handy when plotting with matplotlib, for example):"
243 ]
243 ]
244 },
244 },
245 {
245 {
246 "cell_type": "code",
246 "cell_type": "code",
247 "execution_count": 9,
247 "execution_count": 9,
248 "metadata": {
248 "metadata": {
249 "collapsed": false
249 "collapsed": false
250 },
250 },
251 "outputs": [],
251 "outputs": [],
252 "source": [
252 "source": [
253 "10+20;"
253 "10+20;"
254 ]
254 ]
255 },
255 },
256 {
256 {
257 "cell_type": "code",
257 "cell_type": "code",
258 "execution_count": 10,
258 "execution_count": 10,
259 "metadata": {
259 "metadata": {
260 "collapsed": false
260 "collapsed": false
261 },
261 },
262 "outputs": [
262 "outputs": [
263 {
263 {
264 "data": {
264 "data": {
265 "text/plain": [
265 "text/plain": [
266 "22"
266 "22"
267 ]
267 ]
268 },
268 },
269 "execution_count": 10,
269 "execution_count": 10,
270 "metadata": {},
270 "metadata": {},
271 "output_type": "execute_result"
271 "output_type": "execute_result"
272 }
272 }
273 ],
273 ],
274 "source": [
274 "source": [
275 "_"
275 "_"
276 ]
276 ]
277 },
277 },
278 {
278 {
279 "cell_type": "markdown",
279 "cell_type": "markdown",
280 "metadata": {
280 "metadata": {
281 "slideshow": {
281 "slideshow": {
282 "slide_type": "slide"
282 "slide_type": "slide"
283 }
283 }
284 },
284 },
285 "source": [
285 "source": [
286 "The output is stored in `_N` and `Out[N]` variables:"
286 "The output is stored in `_N` and `Out[N]` variables:"
287 ]
287 ]
288 },
288 },
289 {
289 {
290 "cell_type": "code",
290 "cell_type": "code",
291 "execution_count": 11,
291 "execution_count": 11,
292 "metadata": {
292 "metadata": {
293 "collapsed": false
293 "collapsed": false
294 },
294 },
295 "outputs": [
295 "outputs": [
296 {
296 {
297 "data": {
297 "data": {
298 "text/plain": [
298 "text/plain": [
299 "True"
299 "True"
300 ]
300 ]
301 },
301 },
302 "execution_count": 11,
302 "execution_count": 11,
303 "metadata": {},
303 "metadata": {},
304 "output_type": "execute_result"
304 "output_type": "execute_result"
305 }
305 }
306 ],
306 ],
307 "source": [
307 "source": [
308 "_10 == Out[10]"
308 "_10 == Out[10]"
309 ]
309 ]
310 },
310 },
311 {
311 {
312 "cell_type": "markdown",
312 "cell_type": "markdown",
313 "metadata": {
313 "metadata": {
314 "slideshow": {
314 "slideshow": {
315 "slide_type": "slide"
315 "slide_type": "slide"
316 }
316 }
317 },
317 },
318 "source": [
318 "source": [
319 "And the last three have shorthands for convenience:"
319 "And the last three have shorthands for convenience:"
320 ]
320 ]
321 },
321 },
322 {
322 {
323 "cell_type": "code",
323 "cell_type": "code",
324 "execution_count": 12,
324 "execution_count": 12,
325 "metadata": {
325 "metadata": {
326 "collapsed": false
326 "collapsed": false
327 },
327 },
328 "outputs": [
328 "outputs": [
329 {
329 {
330 "name": "stdout",
330 "name": "stdout",
331 "output_type": "stream",
331 "output_type": "stream",
332 "text": [
332 "text": [
333 "last output: True\n",
333 "last output: True\n",
334 "next one : 22\n",
334 "next one : 22\n",
335 "and next : 22\n"
335 "and next : 22\n"
336 ]
336 ]
337 }
337 }
338 ],
338 ],
339 "source": [
339 "source": [
340 "print 'last output:', _\n",
340 "from __future__ import print_function\n",
341 "print 'next one :', __\n",
341 "\n",
342 "print 'and next :', ___"
342 "print('last output:', _)\n",
343 "print('next one :', __)\n",
344 "print('and next :', ___)"
343 ]
345 ]
344 },
346 },
345 {
347 {
346 "cell_type": "code",
348 "cell_type": "code",
347 "execution_count": 13,
349 "execution_count": 13,
348 "metadata": {
350 "metadata": {
349 "collapsed": false,
351 "collapsed": false,
350 "slideshow": {
352 "slideshow": {
351 "slide_type": "-"
353 "slide_type": "-"
352 }
354 }
353 },
355 },
354 "outputs": [
356 "outputs": [
355 {
357 {
356 "data": {
358 "data": {
357 "text/plain": [
359 "text/plain": [
358 "u'_10 == Out[10]'"
360 "'_10 == Out[10]'"
359 ]
361 ]
360 },
362 },
361 "execution_count": 13,
363 "execution_count": 13,
362 "metadata": {},
364 "metadata": {},
363 "output_type": "execute_result"
365 "output_type": "execute_result"
364 }
366 }
365 ],
367 ],
366 "source": [
368 "source": [
367 "In[11]"
369 "In[11]"
368 ]
370 ]
369 },
371 },
370 {
372 {
371 "cell_type": "code",
373 "cell_type": "code",
372 "execution_count": 14,
374 "execution_count": 14,
373 "metadata": {
375 "metadata": {
374 "collapsed": false
376 "collapsed": false
375 },
377 },
376 "outputs": [
378 "outputs": [
377 {
379 {
378 "data": {
380 "data": {
379 "text/plain": [
381 "text/plain": [
380 "u'In[11]'"
382 "'In[11]'"
381 ]
383 ]
382 },
384 },
383 "execution_count": 14,
385 "execution_count": 14,
384 "metadata": {},
386 "metadata": {},
385 "output_type": "execute_result"
387 "output_type": "execute_result"
386 }
388 }
387 ],
389 ],
388 "source": [
390 "source": [
389 "_i"
391 "_i"
390 ]
392 ]
391 },
393 },
392 {
394 {
393 "cell_type": "code",
395 "cell_type": "code",
394 "execution_count": 15,
396 "execution_count": 15,
395 "metadata": {
397 "metadata": {
396 "collapsed": false
398 "collapsed": false
397 },
399 },
398 "outputs": [
400 "outputs": [
399 {
401 {
400 "data": {
402 "data": {
401 "text/plain": [
403 "text/plain": [
402 "u'In[11]'"
404 "'In[11]'"
403 ]
405 ]
404 },
406 },
405 "execution_count": 15,
407 "execution_count": 15,
406 "metadata": {},
408 "metadata": {},
407 "output_type": "execute_result"
409 "output_type": "execute_result"
408 }
410 }
409 ],
411 ],
410 "source": [
412 "source": [
411 "_ii"
413 "_ii"
412 ]
414 ]
413 },
415 },
414 {
416 {
415 "cell_type": "code",
417 "cell_type": "code",
416 "execution_count": 16,
418 "execution_count": 16,
417 "metadata": {
419 "metadata": {
418 "collapsed": false,
420 "collapsed": false,
419 "slideshow": {
421 "slideshow": {
420 "slide_type": "subslide"
422 "slide_type": "subslide"
421 }
423 }
422 },
424 },
423 "outputs": [
425 "outputs": [
424 {
426 {
425 "name": "stdout",
427 "name": "stdout",
426 "output_type": "stream",
428 "output_type": "stream",
427 "text": [
429 "text": [
428 "last input: _ii\n",
430 "last input: _ii\n",
429 "next one : _i\n",
431 "next one : _i\n",
430 "and next : In[11]\n"
432 "and next : In[11]\n"
431 ]
433 ]
432 }
434 }
433 ],
435 ],
434 "source": [
436 "source": [
435 "print 'last input:', _i\n",
437 "print('last input:', _i)\n",
436 "print 'next one :', _ii\n",
438 "print('next one :', _ii)\n",
437 "print 'and next :', _iii"
439 "print('and next :', _iii)"
438 ]
440 ]
439 },
441 },
440 {
442 {
441 "cell_type": "code",
443 "cell_type": "code",
442 "execution_count": 17,
444 "execution_count": 17,
443 "metadata": {
445 "metadata": {
444 "collapsed": false
446 "collapsed": false
445 },
447 },
446 "outputs": [
448 "outputs": [
447 {
449 {
448 "name": "stdout",
450 "name": "stdout",
449 "output_type": "stream",
451 "output_type": "stream",
450 "text": [
452 "text": [
451 " 1: print \"Hi\"\n",
453 " 1: print(\"Hi\")\n",
452 " 2: ?\n",
454 " 2: ?\n",
453 " 3:\n",
455 " 3:\n",
454 "import collections\n",
456 "import collections\n",
455 "collections.namedtuple?\n",
457 "collections.namedtuple?\n",
456 " 4: collections.Counter??\n",
458 " 4: collections.Counter??\n",
457 " 5: *int*?\n"
459 " 5: *int*?\n"
458 ]
460 ]
459 }
461 }
460 ],
462 ],
461 "source": [
463 "source": [
462 "%history -n 1-5"
464 "%history -n 1-5"
463 ]
465 ]
464 },
466 },
465 {
467 {
466 "cell_type": "markdown",
468 "cell_type": "markdown",
467 "metadata": {
469 "metadata": {
468 "slideshow": {
470 "slideshow": {
469 "slide_type": "subslide"
471 "slide_type": "subslide"
470 }
472 }
471 },
473 },
472 "source": [
474 "source": [
473 "**Exercise**\n",
475 "**Exercise**\n",
474 "\n",
476 "\n",
475 "Write the last 10 lines of history to a file named `log.py`."
477 "Write the last 10 lines of history to a file named `log.py`."
476 ]
478 ]
477 },
479 },
478 {
480 {
479 "cell_type": "markdown",
481 "cell_type": "markdown",
480 "metadata": {
482 "metadata": {
481 "slideshow": {
483 "slideshow": {
482 "slide_type": "slide"
484 "slide_type": "slide"
483 }
485 }
484 },
486 },
485 "source": [
487 "source": [
486 "## Accessing the underlying operating system"
488 "## Accessing the underlying operating system"
487 ]
489 ]
488 },
490 },
489 {
491 {
490 "cell_type": "code",
492 "cell_type": "code",
491 "execution_count": 18,
493 "execution_count": 18,
492 "metadata": {
494 "metadata": {
493 "collapsed": false
495 "collapsed": false
494 },
496 },
495 "outputs": [
497 "outputs": [
496 {
498 {
497 "name": "stdout",
499 "name": "stdout",
498 "output_type": "stream",
500 "output_type": "stream",
499 "text": [
501 "text": [
500 "/home/fperez/ipython/tutorial/notebooks\r\n"
502 "/Users/minrk/dev/ip/mine/examples/IPython Kernel\r\n"
501 ]
503 ]
502 }
504 }
503 ],
505 ],
504 "source": [
506 "source": [
505 "!pwd"
507 "!pwd"
506 ]
508 ]
507 },
509 },
508 {
510 {
509 "cell_type": "code",
511 "cell_type": "code",
510 "execution_count": 19,
512 "execution_count": 19,
511 "metadata": {
513 "metadata": {
512 "collapsed": false
514 "collapsed": false
513 },
515 },
514 "outputs": [
516 "outputs": [
515 {
517 {
516 "name": "stdout",
518 "name": "stdout",
517 "output_type": "stream",
519 "output_type": "stream",
518 "text": [
520 "text": [
519 "My current directory's files:\n",
521 "My current directory's files:\n",
520 "['BackgroundJobs.ipynb', 'Custom Display Logic.ipynb', 'Customizing IPython - Condensed.ipynb', 'Customizing IPython - Config.ipynb', 'Customizing IPython - Extensions.ipynb', 'Customizing IPython - Magics.ipynb', 'data', 'figs', 'flare.json', 'Index.ipynb', 'Interactive Widgets.ipynb', 'IPython - beyond plain Python.ipynb', 'kernel-embedding', 'Markdown Cells.ipynb', 'myscript.py', 'nbconvert_arch.png', 'NbConvert from command line.ipynb', 'NbConvert Python library.ipynb', 'Notebook and javascript extension.ipynb', 'Notebook Basics.ipynb', 'Overview of IPython.parallel.ipynb', 'parallel', 'Rich Display System.ipynb', 'Running a Secure Public Notebook.ipynb', 'Running Code.ipynb', 'Sample.ipynb', 'soln', 'Terminal usage.ipynb', 'text_analysis.py', 'Typesetting Math Using MathJax.ipynb']\n"
522 "['Animations Using clear_output.ipynb', 'Background Jobs.ipynb', 'Beyond Plain Python.ipynb', 'Capturing Output.ipynb', 'Cell Magics.ipynb', 'Custom Display Logic.ipynb', 'Index.ipynb', 'Old Custom Display Logic.ipynb', 'Plotting in the Notebook.ipynb', 'Raw Input in the Notebook.ipynb', 'Rich Output.ipynb', 'Script Magics.ipynb', 'SymPy.ipynb', 'Terminal Usage.ipynb', 'Third Party Rich Output.ipynb', 'Trapezoid Rule.ipynb', 'Working With External Code.ipynb', '__pycache__', 'data', 'example-demo.py', 'gui', 'ipython-completion.bash', 'ipython-get-history.py', 'ipython-qtconsole.desktop', 'ipython.desktop', 'mod.py', 'test.txt']\n"
521 ]
523 ]
522 }
524 }
523 ],
525 ],
524 "source": [
526 "source": [
525 "files = !ls\n",
527 "files = !ls\n",
526 "print \"My current directory's files:\"\n",
528 "print(\"My current directory's files:\")\n",
527 "print files"
529 "print(files)"
528 ]
530 ]
529 },
531 },
530 {
532 {
531 "cell_type": "code",
533 "cell_type": "code",
532 "execution_count": 20,
534 "execution_count": 20,
533 "metadata": {
535 "metadata": {
534 "collapsed": false
536 "collapsed": false
535 },
537 },
536 "outputs": [
538 "outputs": [
537 {
539 {
538 "name": "stdout",
540 "name": "stdout",
539 "output_type": "stream",
541 "output_type": "stream",
540 "text": [
542 "text": [
541 "[BackgroundJobs.ipynb, Custom Display Logic.ipynb, Customizing IPython - Condensed.ipynb, Customizing IPython - Config.ipynb, Customizing IPython - Extensions.ipynb, Customizing IPython - Magics.ipynb, data, figs, flare.json, Index.ipynb, Interactive Widgets.ipynb, IPython - beyond plain Python.ipynb, kernel-embedding, Markdown Cells.ipynb, myscript.py, nbconvert_arch.png, NbConvert from command line.ipynb, NbConvert Python library.ipynb, Notebook and javascript extension.ipynb, Notebook Basics.ipynb, Overview of IPython.parallel.ipynb, parallel, Rich Display System.ipynb, Running a Secure Public Notebook.ipynb, Running Code.ipynb, Sample.ipynb, soln, Terminal usage.ipynb, text_analysis.py, Typesetting Math Using MathJax.ipynb]\r\n"
543 "[Animations Using clear_output.ipynb, Background Jobs.ipynb, Beyond Plain Python.ipynb, Capturing Output.ipynb, Cell Magics.ipynb, Custom Display Logic.ipynb, Index.ipynb, Old Custom Display Logic.ipynb, Plotting in the Notebook.ipynb, Raw Input in the Notebook.ipynb, Rich Output.ipynb, Script Magics.ipynb, SymPy.ipynb, Terminal Usage.ipynb, Third Party Rich Output.ipynb, Trapezoid Rule.ipynb, Working With External Code.ipynb, __pycache__, data, example-demo.py, gui, ipython-completion.bash, ipython-get-history.py, ipython-qtconsole.desktop, ipython.desktop, mod.py, test.txt]\r\n"
542 ]
544 ]
543 }
545 }
544 ],
546 ],
545 "source": [
547 "source": [
546 "!echo $files"
548 "!echo $files"
547 ]
549 ]
548 },
550 },
549 {
551 {
550 "cell_type": "code",
552 "cell_type": "code",
551 "execution_count": 21,
553 "execution_count": 21,
552 "metadata": {
554 "metadata": {
553 "collapsed": false
555 "collapsed": false
554 },
556 },
555 "outputs": [
557 "outputs": [
556 {
558 {
557 "name": "stdout",
559 "name": "stdout",
558 "output_type": "stream",
560 "output_type": "stream",
559 "text": [
561 "text": [
560 "BACKGROUNDJOBS.IPYNB\r\n"
562 "ANIMATIONS USING CLEAR_OUTPUT.IPYNB\r\n"
561 ]
563 ]
562 }
564 }
563 ],
565 ],
564 "source": [
566 "source": [
565 "!echo {files[0].upper()}"
567 "!echo {files[0].upper()}"
566 ]
568 ]
567 },
569 },
568 {
570 {
569 "cell_type": "markdown",
571 "cell_type": "markdown",
570 "metadata": {},
572 "metadata": {},
571 "source": [
573 "source": [
572 "Note that all this is available even in multiline blocks:"
574 "Note that all this is available even in multiline blocks:"
573 ]
575 ]
574 },
576 },
575 {
577 {
576 "cell_type": "code",
578 "cell_type": "code",
577 "execution_count": 27,
579 "execution_count": 22,
578 "metadata": {
580 "metadata": {
579 "collapsed": false
581 "collapsed": false
580 },
582 },
581 "outputs": [
583 "outputs": [
582 {
584 {
583 "name": "stdout",
585 "name": "stdout",
584 "output_type": "stream",
586 "output_type": "stream",
585 "text": [
587 "text": [
586 "00 - BackgroundJobs\r\n",
588 "00 - Animations Using clear_output\n",
587 "01 - Custom Display Logic\r\n",
589 "01 - Background Jobs\n",
588 "02 - Customizing IPython - Condensed\r\n",
590 "02 - Beyond Plain Python\n",
589 "03 - Customizing IPython - Config\r\n",
591 "03 - Capturing Output\n",
590 "04 - Customizing IPython - Extensions\r\n",
592 "04 - Cell Magics\n",
591 "05 - Customizing IPython - Magics\r\n",
593 "05 - Custom Display Logic\n",
594 "06 - Index\n",
595 "07 - Old Custom Display Logic\n",
596 "08 - Plotting in the Notebook\n",
597 "09 - Raw Input in the Notebook\n",
598 "10 - Rich Output\n",
599 "11 - Script Magics\n",
600 "12 - SymPy\n",
601 "13 - Terminal Usage\n",
602 "14 - Third Party Rich Output\n",
603 "15 - Trapezoid Rule\n",
604 "16 - Working With External Code\n",
592 "--\n",
605 "--\n",
593 "--\n",
606 "--\n",
594 "--\n",
607 "--\n",
595 "09 - Index\r\n",
596 "10 - Interactive Widgets\r\n",
597 "11 - IPython - beyond plain Python\r\n",
598 "--\n",
608 "--\n",
599 "13 - Markdown Cells\r\n",
600 "--\n",
609 "--\n",
601 "--\n",
610 "--\n",
602 "16 - NbConvert from command line\r\n",
603 "17 - NbConvert Python library\r\n",
604 "18 - Notebook and javascript extension\r\n",
605 "19 - Notebook Basics\r\n",
606 "20 - Overview of IPython.parallel\r\n",
607 "--\n",
611 "--\n",
608 "22 - Rich Display System\r\n",
609 "23 - Running a Secure Public Notebook\r\n",
610 "24 - Running Code\r\n",
611 "25 - Sample\r\n",
612 "--\n",
612 "--\n",
613 "27 - Terminal usage\r\n",
614 "--\n",
613 "--\n",
615 "29 - Typesetting Math Using MathJax\r\n"
614 "--\n"
616 ]
615 ]
617 }
616 }
618 ],
617 ],
619 "source": [
618 "source": [
620 "import os\n",
619 "import os\n",
621 "for i,f in enumerate(files):\n",
620 "for i,f in enumerate(files):\n",
622 " if f.endswith('ipynb'):\n",
621 " if f.endswith('ipynb'):\n",
623 " !echo {\"%02d\" % i} - \"{os.path.splitext(f)[0]}\"\n",
622 " !echo {\"%02d\" % i} - \"{os.path.splitext(f)[0]}\"\n",
624 " else:\n",
623 " else:\n",
625 " print '--'"
624 " print('--')"
626 ]
625 ]
627 },
626 },
628 {
627 {
629 "cell_type": "markdown",
628 "cell_type": "markdown",
630 "metadata": {},
629 "metadata": {},
631 "source": [
630 "source": [
632 "## Beyond Python: magic functions"
631 "## Beyond Python: magic functions"
633 ]
632 ]
634 },
633 },
635 {
634 {
636 "cell_type": "markdown",
635 "cell_type": "markdown",
637 "metadata": {},
636 "metadata": {},
638 "source": [
637 "source": [
639 "The IPyhton 'magic' functions are a set of commands, invoked by prepending one or two `%` signs to their name, that live in a namespace separate from your normal Python variables and provide a more command-like interface. They take flags with `--` and arguments without quotes, parentheses or commas. The motivation behind this system is two-fold:\n",
638 "The IPyhton 'magic' functions are a set of commands, invoked by prepending one or two `%` signs to their name, that live in a namespace separate from your normal Python variables and provide a more command-like interface. They take flags with `--` and arguments without quotes, parentheses or commas. The motivation behind this system is two-fold:\n",
640 " \n",
639 " \n",
641 "- To provide an orthogonal namespace for controlling IPython itself and exposing other system-oriented functionality.\n",
640 "- To provide an orthogonal namespace for controlling IPython itself and exposing other system-oriented functionality.\n",
642 "\n",
641 "\n",
643 "- To expose a calling mode that requires minimal verbosity and typing while working interactively. Thus the inspiration taken from the classic Unix shell style for commands."
642 "- To expose a calling mode that requires minimal verbosity and typing while working interactively. Thus the inspiration taken from the classic Unix shell style for commands."
644 ]
643 ]
645 },
644 },
646 {
645 {
647 "cell_type": "code",
646 "cell_type": "code",
648 "execution_count": 28,
647 "execution_count": 23,
649 "metadata": {
648 "metadata": {
650 "collapsed": false
649 "collapsed": false
651 },
650 },
652 "outputs": [],
651 "outputs": [],
653 "source": [
652 "source": [
654 "%magic"
653 "%magic"
655 ]
654 ]
656 },
655 },
657 {
656 {
658 "cell_type": "markdown",
657 "cell_type": "markdown",
659 "metadata": {},
658 "metadata": {},
660 "source": [
659 "source": [
661 "Line vs cell magics:"
660 "Line vs cell magics:"
662 ]
661 ]
663 },
662 },
664 {
663 {
665 "cell_type": "code",
664 "cell_type": "code",
666 "execution_count": 29,
665 "execution_count": 24,
667 "metadata": {
666 "metadata": {
668 "collapsed": false
667 "collapsed": false
669 },
668 },
670 "outputs": [
669 "outputs": [
671 {
670 {
672 "name": "stdout",
671 "name": "stdout",
673 "output_type": "stream",
672 "output_type": "stream",
674 "text": [
673 "text": [
675 "10000000 loops, best of 3: 190 ns per loop\n"
674 "10000 loops, best of 3: 19.3 µs per loop\n"
676 ]
675 ]
677 }
676 }
678 ],
677 ],
679 "source": [
678 "source": [
680 "%timeit range(10)"
679 "%timeit list(range(1000))"
681 ]
680 ]
682 },
681 },
683 {
682 {
684 "cell_type": "code",
683 "cell_type": "code",
685 "execution_count": 30,
684 "execution_count": 25,
686 "metadata": {
685 "metadata": {
687 "collapsed": false
686 "collapsed": false
688 },
687 },
689 "outputs": [
688 "outputs": [
690 {
689 {
691 "name": "stdout",
690 "name": "stdout",
692 "output_type": "stream",
691 "output_type": "stream",
693 "text": [
692 "text": [
694 "1000000 loops, best of 3: 888 ns per loop\n"
693 "100000 loops, best of 3: 2.78 µs per loop\n"
695 ]
694 ]
696 }
695 }
697 ],
696 ],
698 "source": [
697 "source": [
699 "%%timeit\n",
698 "%%timeit\n",
700 "range(10)\n",
699 "list(range(10))\n",
701 "range(100)"
700 "list(range(100))"
702 ]
701 ]
703 },
702 },
704 {
703 {
705 "cell_type": "markdown",
704 "cell_type": "markdown",
706 "metadata": {},
705 "metadata": {},
707 "source": [
706 "source": [
708 "Line magics can be used even inside code blocks:"
707 "Line magics can be used even inside code blocks:"
709 ]
708 ]
710 },
709 },
711 {
710 {
712 "cell_type": "code",
711 "cell_type": "code",
713 "execution_count": 31,
712 "execution_count": 26,
714 "metadata": {
713 "metadata": {
715 "collapsed": false
714 "collapsed": false
716 },
715 },
717 "outputs": [
716 "outputs": [
718 {
717 {
719 "name": "stdout",
718 "name": "stdout",
720 "output_type": "stream",
719 "output_type": "stream",
721 "text": [
720 "text": [
722 "size: 010000000 loops, best of 3: 129 ns per loop\n",
721 "size: 100 100000 loops, best of 3: 1.86 µs per loop\n",
723 " size: 1001000000 loops, best of 3: 649 ns per loop\n",
722 "size: 200 100000 loops, best of 3: 2.49 µs per loop\n",
724 " size: 2001000000 loops, best of 3: 1.09 µs per loop\n",
723 "size: 300 100000 loops, best of 3: 4.04 µs per loop\n",
725 " size: 3001000000 loops, best of 3: 1.74 µs per loop\n",
724 "size: 400 100000 loops, best of 3: 6.21 µs per loop\n"
726 " size: 400100000 loops, best of 3: 2.72 µs per loop\n",
727 "\n"
728 ]
725 ]
729 }
726 }
730 ],
727 ],
731 "source": [
728 "source": [
732 "for i in range(5):\n",
729 "for i in range(1, 5):\n",
733 " size = i*100\n",
730 " size = i*100\n",
734 " print 'size:',size, \n",
731 " print('size:', size, end=' ')\n",
735 " %timeit range(size)"
732 " %timeit list(range(size))"
736 ]
733 ]
737 },
734 },
738 {
735 {
739 "cell_type": "markdown",
736 "cell_type": "markdown",
740 "metadata": {},
737 "metadata": {},
741 "source": [
738 "source": [
742 "Magics can do anything they want with their input, so it doesn't have to be valid Python:"
739 "Magics can do anything they want with their input, so it doesn't have to be valid Python:"
743 ]
740 ]
744 },
741 },
745 {
742 {
746 "cell_type": "code",
743 "cell_type": "code",
747 "execution_count": 32,
744 "execution_count": 27,
748 "metadata": {
745 "metadata": {
749 "collapsed": false
746 "collapsed": false
750 },
747 },
751 "outputs": [
748 "outputs": [
752 {
749 {
753 "name": "stdout",
750 "name": "stdout",
754 "output_type": "stream",
751 "output_type": "stream",
755 "text": [
752 "text": [
756 "My shell is: /bin/bash\n",
753 "My shell is: /usr/local/bin/bash\n",
757 "My memory status is:\n",
754 "My disk usage is:\n",
758 " total used free shared buffers cached\n",
755 "Filesystem Size Used Avail Capacity iused ifree %iused Mounted on\n",
759 "Mem: 7870888 6389328 1481560 0 662860 2505172\n",
756 "/dev/disk1 233Gi 216Gi 16Gi 94% 56788108 4190706 93% /\n",
760 "-/+ buffers/cache: 3221296 4649592\n",
757 "devfs 190Ki 190Ki 0Bi 100% 656 0 100% /dev\n",
761 "Swap: 3905532 4852 3900680\n"
758 "map -hosts 0Bi 0Bi 0Bi 100% 0 0 100% /net\n",
759 "map auto_home 0Bi 0Bi 0Bi 100% 0 0 100% /home\n"
762 ]
760 ]
763 }
761 }
764 ],
762 ],
765 "source": [
763 "source": [
766 "%%bash\n",
764 "%%bash\n",
767 "echo \"My shell is:\" $SHELL\n",
765 "echo \"My shell is:\" $SHELL\n",
768 "echo \"My memory status is:\"\n",
766 "echo \"My disk usage is:\"\n",
769 "free"
767 "df -h"
770 ]
768 ]
771 },
769 },
772 {
770 {
773 "cell_type": "markdown",
771 "cell_type": "markdown",
774 "metadata": {},
772 "metadata": {},
775 "source": [
773 "source": [
776 "Another interesting cell magic: create any file you want locally from the notebook:"
774 "Another interesting cell magic: create any file you want locally from the notebook:"
777 ]
775 ]
778 },
776 },
779 {
777 {
780 "cell_type": "code",
778 "cell_type": "code",
781 "execution_count": 33,
779 "execution_count": 28,
782 "metadata": {
780 "metadata": {
783 "collapsed": false
781 "collapsed": false
784 },
782 },
785 "outputs": [
783 "outputs": [
786 {
784 {
787 "name": "stdout",
785 "name": "stdout",
788 "output_type": "stream",
786 "output_type": "stream",
789 "text": [
787 "text": [
790 "Writing test.txt\n"
788 "Overwriting test.txt\n"
791 ]
789 ]
792 }
790 }
793 ],
791 ],
794 "source": [
792 "source": [
795 "%%writefile test.txt\n",
793 "%%writefile test.txt\n",
796 "This is a test file!\n",
794 "This is a test file!\n",
797 "It can contain anything I want...\n",
795 "It can contain anything I want...\n",
798 "\n",
796 "\n",
799 "And more..."
797 "And more..."
800 ]
798 ]
801 },
799 },
802 {
800 {
803 "cell_type": "code",
801 "cell_type": "code",
804 "execution_count": 34,
802 "execution_count": 29,
805 "metadata": {
803 "metadata": {
806 "collapsed": false
804 "collapsed": false
807 },
805 },
808 "outputs": [
806 "outputs": [
809 {
807 {
810 "name": "stdout",
808 "name": "stdout",
811 "output_type": "stream",
809 "output_type": "stream",
812 "text": [
810 "text": [
813 "This is a test file!\r\n",
811 "This is a test file!\r\n",
814 "It can contain anything I want...\r\n",
812 "It can contain anything I want...\r\n",
815 "\r\n",
813 "\r\n",
816 "And more..."
814 "And more..."
817 ]
815 ]
818 }
816 }
819 ],
817 ],
820 "source": [
818 "source": [
821 "!cat test.txt"
819 "!cat test.txt"
822 ]
820 ]
823 },
821 },
824 {
822 {
825 "cell_type": "markdown",
823 "cell_type": "markdown",
826 "metadata": {},
824 "metadata": {},
827 "source": [
825 "source": [
828 "Let's see what other magics are currently defined in the system:"
826 "Let's see what other magics are currently defined in the system:"
829 ]
827 ]
830 },
828 },
831 {
829 {
832 "cell_type": "code",
830 "cell_type": "code",
833 "execution_count": 35,
831 "execution_count": 30,
834 "metadata": {
832 "metadata": {
835 "collapsed": false
833 "collapsed": false
836 },
834 },
837 "outputs": [
835 "outputs": [
838 {
836 {
839 "data": {
837 "data": {
840 "application/json": {
838 "application/json": {
841 "cell": {
839 "cell": {
842 "!": "OSMagics",
840 "!": "OSMagics",
843 "HTML": "Other",
841 "HTML": "Other",
844 "SVG": "Other",
842 "SVG": "Other",
845 "bash": "Other",
843 "bash": "Other",
846 "capture": "ExecutionMagics",
844 "capture": "ExecutionMagics",
847 "debug": "ExecutionMagics",
845 "debug": "ExecutionMagics",
848 "file": "Other",
846 "file": "Other",
849 "html": "DisplayMagics",
847 "html": "DisplayMagics",
850 "javascript": "DisplayMagics",
848 "javascript": "DisplayMagics",
851 "latex": "DisplayMagics",
849 "latex": "DisplayMagics",
852 "perl": "Other",
850 "perl": "Other",
853 "prun": "ExecutionMagics",
851 "prun": "ExecutionMagics",
854 "pypy": "Other",
852 "pypy": "Other",
855 "python": "Other",
853 "python": "Other",
856 "python2": "Other",
854 "python2": "Other",
857 "python3": "Other",
855 "python3": "Other",
858 "ruby": "Other",
856 "ruby": "Other",
859 "script": "ScriptMagics",
857 "script": "ScriptMagics",
860 "sh": "Other",
858 "sh": "Other",
861 "svg": "DisplayMagics",
859 "svg": "DisplayMagics",
862 "sx": "OSMagics",
860 "sx": "OSMagics",
863 "system": "OSMagics",
861 "system": "OSMagics",
864 "time": "ExecutionMagics",
862 "time": "ExecutionMagics",
865 "timeit": "ExecutionMagics",
863 "timeit": "ExecutionMagics",
866 "writefile": "OSMagics"
864 "writefile": "OSMagics"
867 },
865 },
868 "line": {
866 "line": {
869 "alias": "OSMagics",
867 "alias": "OSMagics",
870 "alias_magic": "BasicMagics",
868 "alias_magic": "BasicMagics",
871 "autocall": "AutoMagics",
869 "autocall": "AutoMagics",
872 "automagic": "AutoMagics",
870 "automagic": "AutoMagics",
873 "autosave": "KernelMagics",
871 "autosave": "KernelMagics",
874 "bookmark": "OSMagics",
872 "bookmark": "OSMagics",
875 "cat": "Other",
873 "cat": "Other",
876 "cd": "OSMagics",
874 "cd": "OSMagics",
877 "cl": "Other",
878 "clear": "KernelMagics",
875 "clear": "KernelMagics",
879 "clk": "Other",
880 "colors": "BasicMagics",
876 "colors": "BasicMagics",
881 "config": "ConfigMagics",
877 "config": "ConfigMagics",
882 "connect_info": "KernelMagics",
878 "connect_info": "KernelMagics",
883 "cp": "Other",
879 "cp": "Other",
884 "d": "Other",
885 "dd": "Other",
886 "debug": "ExecutionMagics",
880 "debug": "ExecutionMagics",
887 "dhist": "OSMagics",
881 "dhist": "OSMagics",
888 "dirs": "OSMagics",
882 "dirs": "OSMagics",
889 "dl": "Other",
883 "doctest_mode": "BasicMagics",
890 "doctest_mode": "KernelMagics",
891 "dx": "Other",
892 "ed": "Other",
884 "ed": "Other",
893 "edit": "KernelMagics",
885 "edit": "KernelMagics",
894 "env": "OSMagics",
886 "env": "OSMagics",
895 "gui": "BasicMagics",
887 "gui": "BasicMagics",
896 "hist": "Other",
888 "hist": "Other",
897 "history": "HistoryMagics",
889 "history": "HistoryMagics",
898 "install_default_config": "DeprecatedMagics",
890 "install_default_config": "DeprecatedMagics",
899 "install_ext": "ExtensionMagics",
891 "install_ext": "ExtensionMagics",
900 "install_profiles": "DeprecatedMagics",
892 "install_profiles": "DeprecatedMagics",
901 "killbgscripts": "ScriptMagics",
893 "killbgscripts": "ScriptMagics",
902 "ldir": "Other",
894 "ldir": "Other",
903 "less": "KernelMagics",
895 "less": "KernelMagics",
904 "lf": "Other",
896 "lf": "Other",
905 "lk": "Other",
897 "lk": "Other",
906 "ll": "Other",
898 "ll": "Other",
907 "load": "CodeMagics",
899 "load": "CodeMagics",
908 "load_ext": "ExtensionMagics",
900 "load_ext": "ExtensionMagics",
909 "loadpy": "CodeMagics",
901 "loadpy": "CodeMagics",
910 "logoff": "LoggingMagics",
902 "logoff": "LoggingMagics",
911 "logon": "LoggingMagics",
903 "logon": "LoggingMagics",
912 "logstart": "LoggingMagics",
904 "logstart": "LoggingMagics",
913 "logstate": "LoggingMagics",
905 "logstate": "LoggingMagics",
914 "logstop": "LoggingMagics",
906 "logstop": "LoggingMagics",
915 "ls": "Other",
907 "ls": "Other",
916 "lsmagic": "BasicMagics",
908 "lsmagic": "BasicMagics",
917 "lx": "Other",
909 "lx": "Other",
918 "macro": "ExecutionMagics",
910 "macro": "ExecutionMagics",
919 "magic": "BasicMagics",
911 "magic": "BasicMagics",
920 "man": "KernelMagics",
912 "man": "KernelMagics",
921 "matplotlib": "PylabMagics",
913 "matplotlib": "PylabMagics",
922 "mkdir": "Other",
914 "mkdir": "Other",
923 "more": "KernelMagics",
915 "more": "KernelMagics",
924 "mv": "Other",
916 "mv": "Other",
917 "namespace": "Other",
925 "notebook": "BasicMagics",
918 "notebook": "BasicMagics",
926 "page": "BasicMagics",
919 "page": "BasicMagics",
927 "pastebin": "CodeMagics",
920 "pastebin": "CodeMagics",
928 "pdb": "ExecutionMagics",
921 "pdb": "ExecutionMagics",
929 "pdef": "NamespaceMagics",
922 "pdef": "NamespaceMagics",
930 "pdoc": "NamespaceMagics",
923 "pdoc": "NamespaceMagics",
931 "pfile": "NamespaceMagics",
924 "pfile": "NamespaceMagics",
932 "pinfo": "NamespaceMagics",
925 "pinfo": "NamespaceMagics",
933 "pinfo2": "NamespaceMagics",
926 "pinfo2": "NamespaceMagics",
934 "popd": "OSMagics",
927 "popd": "OSMagics",
935 "pprint": "BasicMagics",
928 "pprint": "BasicMagics",
936 "precision": "BasicMagics",
929 "precision": "BasicMagics",
937 "profile": "BasicMagics",
930 "profile": "BasicMagics",
938 "prun": "ExecutionMagics",
931 "prun": "ExecutionMagics",
939 "psearch": "NamespaceMagics",
932 "psearch": "NamespaceMagics",
940 "psource": "NamespaceMagics",
933 "psource": "NamespaceMagics",
941 "pushd": "OSMagics",
934 "pushd": "OSMagics",
942 "pwd": "OSMagics",
935 "pwd": "OSMagics",
943 "pycat": "OSMagics",
936 "pycat": "OSMagics",
944 "pylab": "PylabMagics",
937 "pylab": "PylabMagics",
945 "qtconsole": "KernelMagics",
938 "qtconsole": "KernelMagics",
946 "quickref": "BasicMagics",
939 "quickref": "BasicMagics",
947 "recall": "HistoryMagics",
940 "recall": "HistoryMagics",
948 "rehashx": "OSMagics",
941 "rehashx": "OSMagics",
949 "reload_ext": "ExtensionMagics",
942 "reload_ext": "ExtensionMagics",
950 "rep": "Other",
943 "rep": "Other",
951 "rerun": "HistoryMagics",
944 "rerun": "HistoryMagics",
952 "reset": "NamespaceMagics",
945 "reset": "NamespaceMagics",
953 "reset_selective": "NamespaceMagics",
946 "reset_selective": "NamespaceMagics",
954 "rm": "Other",
947 "rm": "Other",
955 "rmdir": "Other",
948 "rmdir": "Other",
956 "run": "ExecutionMagics",
949 "run": "ExecutionMagics",
957 "save": "CodeMagics",
950 "save": "CodeMagics",
958 "sc": "OSMagics",
951 "sc": "OSMagics",
952 "set_env": "OSMagics",
959 "store": "StoreMagics",
953 "store": "StoreMagics",
960 "sx": "OSMagics",
954 "sx": "OSMagics",
961 "system": "OSMagics",
955 "system": "OSMagics",
962 "tb": "ExecutionMagics",
956 "tb": "ExecutionMagics",
957 "tic": "TimerMagics",
963 "time": "ExecutionMagics",
958 "time": "ExecutionMagics",
964 "timeit": "ExecutionMagics",
959 "timeit": "ExecutionMagics",
960 "toc": "TimerMagics",
965 "unalias": "OSMagics",
961 "unalias": "OSMagics",
966 "unload_ext": "ExtensionMagics",
962 "unload_ext": "ExtensionMagics",
967 "who": "NamespaceMagics",
963 "who": "NamespaceMagics",
968 "who_ls": "NamespaceMagics",
964 "who_ls": "NamespaceMagics",
969 "whos": "NamespaceMagics",
965 "whos": "NamespaceMagics",
970 "xdel": "NamespaceMagics",
966 "xdel": "NamespaceMagics",
971 "xmode": "BasicMagics"
967 "xmode": "BasicMagics"
972 }
968 }
973 },
969 },
974 "text/plain": [
970 "text/plain": [
975 "Available line magics:\n",
971 "Available line magics:\n",
976 "%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %cl %clear %clk %colors %config %connect_info %cp %d %dd %debug %dhist %dirs %dl %doctest_mode %dx %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
972 "%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %namespace %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %tic %time %timeit %toc %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
977 "\n",
973 "\n",
978 "Available cell magics:\n",
974 "Available cell magics:\n",
979 "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
975 "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
980 "\n",
976 "\n",
981 "Automagic is ON, % prefix IS NOT needed for line magics."
977 "Automagic is ON, % prefix IS NOT needed for line magics."
982 ]
978 ]
983 },
979 },
984 "execution_count": 35,
980 "execution_count": 30,
985 "metadata": {},
981 "metadata": {},
986 "output_type": "execute_result"
982 "output_type": "execute_result"
987 }
983 }
988 ],
984 ],
989 "source": [
985 "source": [
990 "%lsmagic"
986 "%lsmagic"
991 ]
987 ]
992 },
988 },
993 {
989 {
994 "cell_type": "markdown",
990 "cell_type": "markdown",
995 "metadata": {},
991 "metadata": {},
996 "source": [
992 "source": [
997 "## Running normal Python code: execution and errors"
993 "## Running normal Python code: execution and errors"
998 ]
994 ]
999 },
995 },
1000 {
996 {
1001 "cell_type": "markdown",
997 "cell_type": "markdown",
1002 "metadata": {},
998 "metadata": {},
1003 "source": [
999 "source": [
1004 "Not only can you input normal Python code, you can even paste straight from a Python or IPython shell session:"
1000 "Not only can you input normal Python code, you can even paste straight from a Python or IPython shell session:"
1005 ]
1001 ]
1006 },
1002 },
1007 {
1003 {
1008 "cell_type": "code",
1004 "cell_type": "code",
1009 "execution_count": 36,
1005 "execution_count": 31,
1010 "metadata": {
1006 "metadata": {
1011 "collapsed": false
1007 "collapsed": false
1012 },
1008 },
1013 "outputs": [
1009 "outputs": [
1014 {
1010 {
1015 "name": "stdout",
1011 "name": "stdout",
1016 "output_type": "stream",
1012 "output_type": "stream",
1017 "text": [
1013 "text": [
1018 "1\n",
1014 "1\n",
1019 "1\n",
1015 "1\n",
1020 "2\n",
1016 "2\n",
1021 "3\n",
1017 "3\n",
1022 "5\n",
1018 "5\n",
1023 "8\n"
1019 "8\n"
1024 ]
1020 ]
1025 }
1021 }
1026 ],
1022 ],
1027 "source": [
1023 "source": [
1028 ">>> # Fibonacci series:\n",
1024 ">>> # Fibonacci series:\n",
1029 "... # the sum of two elements defines the next\n",
1025 "... # the sum of two elements defines the next\n",
1030 "... a, b = 0, 1\n",
1026 "... a, b = 0, 1\n",
1031 ">>> while b < 10:\n",
1027 ">>> while b < 10:\n",
1032 "... print b\n",
1028 "... print(b)\n",
1033 "... a, b = b, a+b"
1029 "... a, b = b, a+b"
1034 ]
1030 ]
1035 },
1031 },
1036 {
1032 {
1037 "cell_type": "code",
1033 "cell_type": "code",
1038 "execution_count": 37,
1034 "execution_count": 32,
1039 "metadata": {
1035 "metadata": {
1040 "collapsed": false
1036 "collapsed": false
1041 },
1037 },
1042 "outputs": [
1038 "outputs": [
1043 {
1039 {
1044 "name": "stdout",
1040 "name": "stdout",
1045 "output_type": "stream",
1041 "output_type": "stream",
1046 "text": [
1042 "text": [
1047 "0 1 2 3 4 5 6 7 8 9\n"
1043 "0 1 2 3 4 5 6 7 8 9 "
1048 ]
1044 ]
1049 }
1045 }
1050 ],
1046 ],
1051 "source": [
1047 "source": [
1052 "In [1]: for i in range(10):\n",
1048 "In [1]: for i in range(10):\n",
1053 " ...: print i,\n",
1049 " ...: print(i, end=' ')\n",
1054 " ...: "
1050 " ...: "
1055 ]
1051 ]
1056 },
1052 },
1057 {
1053 {
1058 "cell_type": "markdown",
1054 "cell_type": "markdown",
1059 "metadata": {},
1055 "metadata": {},
1060 "source": [
1056 "source": [
1061 "And when your code produces errors, you can control how they are displayed with the `%xmode` magic:"
1057 "And when your code produces errors, you can control how they are displayed with the `%xmode` magic:"
1062 ]
1058 ]
1063 },
1059 },
1064 {
1060 {
1065 "cell_type": "code",
1061 "cell_type": "code",
1066 "execution_count": 38,
1062 "execution_count": 33,
1067 "metadata": {
1063 "metadata": {
1068 "collapsed": false
1064 "collapsed": false
1069 },
1065 },
1070 "outputs": [
1066 "outputs": [
1071 {
1067 {
1072 "name": "stdout",
1068 "name": "stdout",
1073 "output_type": "stream",
1069 "output_type": "stream",
1074 "text": [
1070 "text": [
1075 "Writing mod.py\n"
1071 "Overwriting mod.py\n"
1076 ]
1072 ]
1077 }
1073 }
1078 ],
1074 ],
1079 "source": [
1075 "source": [
1080 "%%writefile mod.py\n",
1076 "%%writefile mod.py\n",
1081 "\n",
1077 "\n",
1082 "def f(x):\n",
1078 "def f(x):\n",
1083 " return 1.0/(x-1)\n",
1079 " return 1.0/(x-1)\n",
1084 "\n",
1080 "\n",
1085 "def g(y):\n",
1081 "def g(y):\n",
1086 " return f(y+1)"
1082 " return f(y+1)"
1087 ]
1083 ]
1088 },
1084 },
1089 {
1085 {
1090 "cell_type": "markdown",
1086 "cell_type": "markdown",
1091 "metadata": {},
1087 "metadata": {},
1092 "source": [
1088 "source": [
1093 "Now let's call the function `g` with an argument that would produce an error:"
1089 "Now let's call the function `g` with an argument that would produce an error:"
1094 ]
1090 ]
1095 },
1091 },
1096 {
1092 {
1097 "cell_type": "code",
1093 "cell_type": "code",
1098 "execution_count": 39,
1094 "execution_count": 34,
1099 "metadata": {
1095 "metadata": {
1100 "collapsed": false
1096 "collapsed": false
1101 },
1097 },
1102 "outputs": [
1098 "outputs": [
1103 {
1099 {
1104 "ename": "ZeroDivisionError",
1100 "ename": "ZeroDivisionError",
1105 "evalue": "float division by zero",
1101 "evalue": "float division by zero",
1106 "output_type": "error",
1102 "output_type": "error",
1107 "traceback": [
1103 "traceback": [
1108 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1104 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
1109 "\u001b[1;32m<ipython-input-39-a54c5799f57e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1105 "\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1110 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1106 "\u001b[1;32m<ipython-input-40-a54c5799f57e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1111 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1107 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1108 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1112 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1109 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1113 ]
1110 ]
1114 }
1111 }
1115 ],
1112 ],
1116 "source": [
1113 "source": [
1117 "import mod\n",
1114 "import mod\n",
1118 "mod.g(0)"
1115 "mod.g(0)"
1119 ]
1116 ]
1120 },
1117 },
1121 {
1118 {
1122 "cell_type": "code",
1119 "cell_type": "code",
1123 "execution_count": 40,
1120 "execution_count": 35,
1124 "metadata": {
1121 "metadata": {
1125 "collapsed": false
1122 "collapsed": false
1126 },
1123 },
1127 "outputs": [
1124 "outputs": [
1128 {
1125 {
1129 "name": "stdout",
1126 "name": "stdout",
1130 "output_type": "stream",
1127 "output_type": "stream",
1131 "text": [
1128 "text": [
1132 "Exception reporting mode: Plain\n"
1129 "Exception reporting mode: Plain\n"
1133 ]
1130 ]
1134 },
1131 },
1135 {
1132 {
1136 "ename": "ZeroDivisionError",
1133 "ename": "ZeroDivisionError",
1137 "evalue": "float division by zero",
1134 "evalue": "float division by zero",
1138 "output_type": "error",
1135 "output_type": "error",
1139 "traceback": [
1136 "traceback": [
1140 "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
1137 "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
1141 " File \u001b[0;32m\"<ipython-input-40-5a5bcec1553f>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n mod.g(0)\n",
1138 " File \u001b[0;32m\"<ipython-input-41-8932f4bf53fa>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n mod.g(0)\n",
1142 " File \u001b[0;32m\"mod.py\"\u001b[0m, line \u001b[0;32m6\u001b[0m, in \u001b[0;35mg\u001b[0m\n return f(y+1)\n",
1139 " File \u001b[0;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[0m, line \u001b[0;32m6\u001b[0m, in \u001b[0;35mg\u001b[0m\n return f(y+1)\n",
1143 "\u001b[1;36m File \u001b[1;32m\"mod.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[1;36m, in \u001b[1;35mf\u001b[1;36m\u001b[0m\n\u001b[1;33m return 1.0/(x-1)\u001b[0m\n",
1140 "\u001b[1;36m File \u001b[1;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[1;36m, in \u001b[1;35mf\u001b[1;36m\u001b[0m\n\u001b[1;33m return 1.0/(x-1)\u001b[0m\n",
1144 "\u001b[1;31mZeroDivisionError\u001b[0m\u001b[1;31m:\u001b[0m float division by zero\n"
1141 "\u001b[1;31mZeroDivisionError\u001b[0m\u001b[1;31m:\u001b[0m float division by zero\n"
1145 ]
1142 ]
1146 }
1143 }
1147 ],
1144 ],
1148 "source": [
1145 "source": [
1149 "%xmode plain\n",
1146 "%xmode plain\n",
1150 "mod.g(0)"
1147 "mod.g(0)"
1151 ]
1148 ]
1152 },
1149 },
1153 {
1150 {
1154 "cell_type": "code",
1151 "cell_type": "code",
1155 "execution_count": 41,
1152 "execution_count": 36,
1156 "metadata": {
1153 "metadata": {
1157 "collapsed": false
1154 "collapsed": false
1158 },
1155 },
1159 "outputs": [
1156 "outputs": [
1160 {
1157 {
1161 "name": "stdout",
1158 "name": "stdout",
1162 "output_type": "stream",
1159 "output_type": "stream",
1163 "text": [
1160 "text": [
1164 "Exception reporting mode: Verbose\n"
1161 "Exception reporting mode: Verbose\n"
1165 ]
1162 ]
1166 },
1163 },
1167 {
1164 {
1168 "ename": "ZeroDivisionError",
1165 "ename": "ZeroDivisionError",
1169 "evalue": "float division by zero",
1166 "evalue": "float division by zero",
1170 "output_type": "error",
1167 "output_type": "error",
1171 "traceback": [
1168 "traceback": [
1172 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1169 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
1173 "\u001b[1;32m<ipython-input-41-81967cfaa0c3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mu'xmode verbose'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mmod.g\u001b[0m \u001b[1;34m= <function g at 0x237fc08>\u001b[0m\n",
1170 "\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1174 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y=0)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mf\u001b[0m \u001b[1;34m= <function f at 0x2367c08>\u001b[0m\u001b[1;34m\n \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
1171 "\u001b[1;32m<ipython-input-42-539f73e80e01>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'xmode verbose'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mmod.g\u001b[0m \u001b[1;34m= <function g at 0x105887d08>\u001b[0m\n",
1175 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x=1)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[0;36mx\u001b[0m \u001b[1;34m= 1\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1172 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y=0)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mf\u001b[0m \u001b[1;34m= <function f at 0x105887d90>\u001b[0m\u001b[1;34m\n \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
1173 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x=1)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[0;36mx\u001b[0m \u001b[1;34m= 1\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1176 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1174 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1177 ]
1175 ]
1178 }
1176 }
1179 ],
1177 ],
1180 "source": [
1178 "source": [
1181 "%xmode verbose\n",
1179 "%xmode verbose\n",
1182 "mod.g(0)"
1180 "mod.g(0)"
1183 ]
1181 ]
1184 },
1182 },
1185 {
1183 {
1186 "cell_type": "markdown",
1184 "cell_type": "markdown",
1187 "metadata": {},
1185 "metadata": {},
1188 "source": [
1186 "source": [
1189 "The default `%xmode` is \"context\", which shows additional context but not all local variables. Let's restore that one for the rest of our session."
1187 "The default `%xmode` is \"context\", which shows additional context but not all local variables. Let's restore that one for the rest of our session."
1190 ]
1188 ]
1191 },
1189 },
1192 {
1190 {
1193 "cell_type": "code",
1191 "cell_type": "code",
1194 "execution_count": 42,
1192 "execution_count": 37,
1195 "metadata": {
1193 "metadata": {
1196 "collapsed": false
1194 "collapsed": false
1197 },
1195 },
1198 "outputs": [
1196 "outputs": [
1199 {
1197 {
1200 "name": "stdout",
1198 "name": "stdout",
1201 "output_type": "stream",
1199 "output_type": "stream",
1202 "text": [
1200 "text": [
1203 "Exception reporting mode: Context\n"
1201 "Exception reporting mode: Context\n"
1204 ]
1202 ]
1205 }
1203 }
1206 ],
1204 ],
1207 "source": [
1205 "source": [
1208 "%xmode context"
1206 "%xmode context"
1209 ]
1207 ]
1210 },
1208 },
1211 {
1209 {
1212 "cell_type": "markdown",
1210 "cell_type": "markdown",
1213 "metadata": {},
1211 "metadata": {},
1214 "source": [
1212 "source": [
1215 "## Running code in other languages with special `%%` magics"
1213 "## Running code in other languages with special `%%` magics"
1216 ]
1214 ]
1217 },
1215 },
1218 {
1216 {
1219 "cell_type": "code",
1217 "cell_type": "code",
1220 "execution_count": 43,
1218 "execution_count": 38,
1221 "metadata": {
1219 "metadata": {
1222 "collapsed": false
1220 "collapsed": false
1223 },
1221 },
1224 "outputs": [
1222 "outputs": [
1225 {
1223 {
1226 "name": "stdout",
1224 "name": "stdout",
1227 "output_type": "stream",
1225 "output_type": "stream",
1228 "text": [
1226 "text": [
1229 "July"
1227 "July"
1230 ]
1228 ]
1231 }
1229 }
1232 ],
1230 ],
1233 "source": [
1231 "source": [
1234 "%%perl\n",
1232 "%%perl\n",
1235 "@months = (\"July\", \"August\", \"September\");\n",
1233 "@months = (\"July\", \"August\", \"September\");\n",
1236 "print $months[0];"
1234 "print $months[0];"
1237 ]
1235 ]
1238 },
1236 },
1239 {
1237 {
1240 "cell_type": "code",
1238 "cell_type": "code",
1241 "execution_count": 44,
1239 "execution_count": 39,
1242 "metadata": {
1240 "metadata": {
1243 "collapsed": false
1241 "collapsed": false
1244 },
1242 },
1245 "outputs": [
1243 "outputs": [
1246 {
1244 {
1247 "name": "stdout",
1245 "name": "stdout",
1248 "output_type": "stream",
1246 "output_type": "stream",
1249 "text": [
1247 "text": [
1250 "Hello World!\n"
1248 "Hello World!\n"
1251 ]
1249 ]
1252 }
1250 }
1253 ],
1251 ],
1254 "source": [
1252 "source": [
1255 "%%ruby\n",
1253 "%%ruby\n",
1256 "name = \"world\"\n",
1254 "name = \"world\"\n",
1257 "puts \"Hello #{name.capitalize}!\""
1255 "puts \"Hello #{name.capitalize}!\""
1258 ]
1256 ]
1259 },
1257 },
1260 {
1258 {
1261 "cell_type": "markdown",
1259 "cell_type": "markdown",
1262 "metadata": {},
1260 "metadata": {},
1263 "source": [
1261 "source": [
1264 "### Exercise"
1265 ]
1266 },
1267 {
1268 "cell_type": "markdown",
1269 "metadata": {},
1270 "source": [
1271 "Write a cell that executes in Bash and prints your current working directory as well as the date.\n",
1272 "\n",
1273 "Apologies to Windows users who may not have Bash available, not sure how to obtain the equivalent result with `cmd.exe` or Powershell."
1274 ]
1275 },
1276 {
1277 "cell_type": "code",
1278 "execution_count": null,
1279 "metadata": {
1280 "collapsed": false
1281 },
1282 "outputs": [],
1283 "source": [
1284 "%load soln/bash-script"
1285 ]
1286 },
1287 {
1288 "cell_type": "markdown",
1289 "metadata": {},
1290 "source": [
1291 "## Raw Input in the notebook"
1262 "## Raw Input in the notebook"
1292 ]
1263 ]
1293 },
1264 },
1294 {
1265 {
1295 "cell_type": "markdown",
1266 "cell_type": "markdown",
1296 "metadata": {},
1267 "metadata": {},
1297 "source": [
1268 "source": [
1298 "Since 1.0 the IPython notebook web application support `raw_input` which for example allow us to invoke the `%debug` magic in the notebook:"
1269 "Since 1.0 the IPython notebook web application support `raw_input` which for example allow us to invoke the `%debug` magic in the notebook:"
1299 ]
1270 ]
1300 },
1271 },
1301 {
1272 {
1302 "cell_type": "code",
1273 "cell_type": "code",
1303 "execution_count": 45,
1274 "execution_count": 40,
1304 "metadata": {
1275 "metadata": {
1305 "collapsed": false
1276 "collapsed": false
1306 },
1277 },
1307 "outputs": [
1278 "outputs": [
1308 {
1279 {
1309 "ename": "ZeroDivisionError",
1280 "ename": "ZeroDivisionError",
1310 "evalue": "float division by zero",
1281 "evalue": "float division by zero",
1311 "output_type": "error",
1282 "output_type": "error",
1312 "traceback": [
1283 "traceback": [
1313 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1284 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
1314 "\u001b[1;32m<ipython-input-45-5e708f13c839>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1285 "\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
1315 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1286 "\u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1316 "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1287 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
1288 "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1317 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1289 "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
1318 ]
1290 ]
1319 }
1291 }
1320 ],
1292 ],
1321 "source": [
1293 "source": [
1322 "mod.g(0)"
1294 "mod.g(0)"
1323 ]
1295 ]
1324 },
1296 },
1325 {
1297 {
1326 "cell_type": "code",
1298 "cell_type": "code",
1327 "execution_count": 38,
1299 "execution_count": 41,
1328 "metadata": {
1300 "metadata": {
1329 "collapsed": false
1301 "collapsed": false
1330 },
1302 },
1331 "outputs": [
1303 "outputs": [
1332 {
1304 {
1333 "name": "stdout",
1305 "name": "stdout",
1334 "output_type": "stream",
1306 "output_type": "stream",
1335 "text": [
1307 "text": [
1336 "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[0;34m()\u001b[0m\n",
1308 "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
1337 "\u001b[0;32m 2 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
1309 "\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1338 "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0;36m1.0\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
1310 "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1339 "\u001b[0m\u001b[0;32m 4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
1311 "\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
1340 "\u001b[0m\n",
1312 "\u001b[0m\n",
1341 "ipdb> x\n",
1342 "1\n",
1343 "ipdb> up\n",
1313 "ipdb> up\n",
1344 "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[0;34m()\u001b[0m\n",
1314 "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
1345 "\u001b[0;32m 4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
1315 "\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
1346 "\u001b[0m\u001b[0;32m 5 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
1316 "\u001b[0m\u001b[1;32m 5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1347 "\u001b[0m\u001b[0;32m----> 6 \u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
1317 "\u001b[0m\u001b[1;32m----> 6 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1348 "\u001b[0m\n",
1318 "\u001b[0m\n",
1349 "ipdb> y\n",
1319 "ipdb> down\n",
1350 "0\n",
1320 "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
1351 "ipdb> up\n",
1321 "\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1352 "> \u001b[0;32m<ipython-input-37-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n",
1322 "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1353 "\u001b[0;32m----> 1 \u001b[0;31m\u001b[0mmod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
1323 "\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
1324 "\u001b[0m\n",
1325 "ipdb> bt\n",
1326 " \u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n",
1327 "\u001b[1;32m----> 1 \u001b[1;33m\u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1328 "\u001b[0m\n",
1329 " \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
1330 "\u001b[0;32m 2 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1331 "\u001b[0;32m 3 \u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1332 "\u001b[0;32m 4 \u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1333 "\u001b[0;32m 5 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1334 "\u001b[1;32m----> 6 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1335 "\u001b[0m\n",
1336 "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
1337 "\u001b[1;32m 1 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
1338 "\u001b[0m\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1339 "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1340 "\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
1341 "\u001b[0m\u001b[1;32m 5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
1354 "\u001b[0m\n",
1342 "\u001b[0m\n",
1355 "ipdb> exit\n"
1343 "ipdb> exit\n"
1356 ]
1344 ]
1357 }
1345 }
1358 ],
1346 ],
1359 "source": [
1347 "source": [
1360 "%debug"
1348 "%debug"
1361 ]
1349 ]
1362 },
1350 },
1363 {
1351 {
1364 "cell_type": "markdown",
1352 "cell_type": "markdown",
1365 "metadata": {},
1353 "metadata": {},
1366 "source": [
1354 "source": [
1367 "Don't foget to exit your debugging session. Raw input can of course be use to ask for user input:"
1355 "Don't foget to exit your debugging session. Raw input can of course be use to ask for user input:"
1368 ]
1356 ]
1369 },
1357 },
1370 {
1358 {
1371 "cell_type": "code",
1359 "cell_type": "code",
1372 "execution_count": 39,
1360 "execution_count": 42,
1373 "metadata": {
1361 "metadata": {
1374 "collapsed": false
1362 "collapsed": false
1375 },
1363 },
1376 "outputs": [
1364 "outputs": [
1377 {
1365 {
1378 "name": "stdout",
1366 "name": "stdout",
1379 "output_type": "stream",
1367 "output_type": "stream",
1380 "text": [
1368 "text": [
1381 "Are you enjoying this tutorial ?Yes !\n",
1369 "Are you enjoying this tutorial? yes\n",
1382 "enjoy is : Yes !\n"
1370 "enjoy is: yes\n"
1383 ]
1371 ]
1384 }
1372 }
1385 ],
1373 ],
1386 "source": [
1374 "source": [
1387 "enjoy = raw_input('Are you enjoying this tutorial ?')\n",
1375 "enjoy = input('Are you enjoying this tutorial? ')\n",
1388 "print 'enjoy is :', enjoy"
1376 "print('enjoy is:', enjoy)"
1389 ]
1377 ]
1390 },
1378 },
1391 {
1379 {
1392 "cell_type": "markdown",
1380 "cell_type": "markdown",
1393 "metadata": {},
1381 "metadata": {},
1394 "source": [
1382 "source": [
1395 "## Plotting in the notebook"
1383 "## Plotting in the notebook"
1396 ]
1384 ]
1397 },
1385 },
1398 {
1386 {
1399 "cell_type": "markdown",
1387 "cell_type": "markdown",
1400 "metadata": {},
1388 "metadata": {},
1401 "source": [
1389 "source": [
1402 "This magic configures matplotlib to render its figures inline:"
1390 "This magic configures matplotlib to render its figures inline:"
1403 ]
1391 ]
1404 },
1392 },
1405 {
1393 {
1406 "cell_type": "code",
1394 "cell_type": "code",
1407 "execution_count": 46,
1395 "execution_count": 43,
1408 "metadata": {
1396 "metadata": {
1409 "collapsed": false
1397 "collapsed": false
1410 },
1398 },
1411 "outputs": [],
1399 "outputs": [],
1412 "source": [
1400 "source": [
1413 "%matplotlib inline"
1401 "%matplotlib inline"
1414 ]
1402 ]
1415 },
1403 },
1416 {
1404 {
1417 "cell_type": "code",
1405 "cell_type": "code",
1418 "execution_count": 47,
1406 "execution_count": 44,
1419 "metadata": {
1407 "metadata": {
1420 "collapsed": false
1408 "collapsed": false
1421 },
1409 },
1422 "outputs": [],
1410 "outputs": [],
1423 "source": [
1411 "source": [
1424 "import numpy as np\n",
1412 "import numpy as np\n",
1425 "import matplotlib.pyplot as plt"
1413 "import matplotlib.pyplot as plt"
1426 ]
1414 ]
1427 },
1415 },
1428 {
1416 {
1429 "cell_type": "code",
1417 "cell_type": "code",
1430 "execution_count": 48,
1418 "execution_count": 45,
1431 "metadata": {
1419 "metadata": {
1432 "collapsed": false
1420 "collapsed": false
1433 },
1421 },
1434 "outputs": [
1422 "outputs": [
1435 {
1423 {
1436 "data": {
1424 "data": {
1437 "image/png": [
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1914 "vJLSHh2MMbxKqfPKZNDipmX86xxL95Wv82zQKpA8wqv0fKekz5X0uKSvZVwQGN1Dkq5Keok7Ohh5\n",
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1921 "dW/kzymdG8bQOHFwbwiv8g2vUu28IryygbHBccTW4UZ4hVEQXkWsqJtbJL1T0iFJb2mr8n8LXBKA\n",
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1923 "a9iKAGxBeJUXRgb7x9jg3hBeEV7ReWWYex8fQ4iyXQqdV4wN9o/wCqMgvIrX6yV9qbo3aa9kzxVg\n",
1924 "yhPq3hQdK+rm+E5PRvQ4abB/jA3uDeEV4VUq4ZXv9Ik5LJll42a/rcrLQStZTWzjbLPEMDYYW3i1\n",
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1954 "P/wbk8nkPZL+WNI3S/qpBb/FD6pbwPlfTqdTf8Pw7slk8kFJPzuZTN4xnU7/dKDyl1LUzVFJ36tu\n",
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1960 "YCfH8CqHzivCKxsYGxwH4RWwzdhjg3ep+wv+/jk//xfuep82v9u61cvcdd6v/4Ckr9t1dSsq6uZu\n",
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1965 "30j6W+6/A+6nL0l6p6Q3SXpvZJ+8AYyHscE0MTY4PBa2r4axQUltVV4p6uZZde8Hb9ZmCJqylMOr\n",
1966 "mDt9Zok6vGqr8lJRN+fVnZp4SIvvzaxhbLB/hFcYzdjhlf/Oyfqcn/d/+Z+Z8/PPqTtFZ56dfv1c\n",
1967 "Rd28Qt0Xk5sl3aPuJvM+SX9V0sEtT70i6T9I+hVJ72yr8tFVPxaA7DzornRepYWxweGx82o1hFeb\n",
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1969 "XY4M/sqcH78q6c8k/Z6k35f07rYqn9jF7w8gX4wNJqaom/2Sblf3NYKvCcNhbHA1hFebclvanvJp\n",
1970 "gxudVxGOqc2SSnh1Ql0n06w9xRYdlrQm6XwkK14Ir4Btxg6vHlU3MvhJ6k4W3O6T3PXBGT8nSQ+4\n",
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1972 "n8hkn04ojA2uhvBqU27hVbKdV25M7ay6yY0jiqNrZpEUwitfu/Vl4lvFNDIosbAduM6o4dV0Or00\n",
1973 "mUx+V93C8zfMeMoXS/rz6XQ677vYf6yudfhLtC28mkwma5K+UNJv7qa2tipfsZtfBwA7aavyclE3\n",
1974 "D0m6X9K9kv5T0ILQB0YGx8HY4GoIrzYRXqXlOXXh1U0ivLLA/z+IaQ9ZTCODEp1XwHVuCPAx3yzp\n",
1975 "8yaTyd/a+oOTyeSvSPpK9/P+x26ZTCYb+7Gm0+k5ST8v6Vsmk8kdutZXqxvJectAdQPAXjA6mBZO\n",
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1977 "kt41mUx+RNKfSnqZpO+W9EeS3ihJk8nkRnXjg09oc5xQkr5PXYfV/z2ZTH5U3SjiZ0r6dkn/fDqd\n",
1978 "vm+sPwsArIATB9PCSYMjcF2LT6vbrXJc7BfbCeHVJh9ezduzmpocOq+kuDp95kkhvIqx8yq2scFY\n",
1979 "witf39mgVSALITqvpK7D6sclvVrSu9QFT78k6Qum06lfoHdRXTD1ka2/cDqdnpL02ZJ+R9IPSnqn\n",
1980 "pL8j6Tum0+nrRqkeAFbHiYNpYWxwPIwOLo/walNunVcpL2yX0jpxMKXwKqbOK8YGh8HYIEYTpAV/\n",
1981 "Op1ekvRD7r95z7kg6a/P+bmPS3rNMNUBwCAYG0wLY4PjeVLdvjiWtu+M8GpTbuFVLp1XhFc2MDY4\n",
1982 "PMIrYJtQnVcAkBvfecXYYBoYGxyP77wivNqZD69OBa3CBsKrtBBe2cLY4PDMd7cVdbMmxgYxIsIr\n",
1983 "ABjHRueV+2KPuDE2OB7GBpdQ1M1BdTcRl5Xu0u5V+ACP8CoNLGy3xXywMgNjg/07qC5PuNhW5cXQ\n",
1984 "xSB9hFcAMI6n1d1UHBUdJClgbHA8T7or/24W84vJT7VVeTVoJTbk2nmVanDJwnZbGBscXgzhFSOD\n",
1985 "GBXhFQCMwN1MMjqYDsYGx8PY4HLYd3WtbMIr13V3SF3XXaqjO4wN2sLY4PAIr4BtCK8AYDwsbU9A\n",
1986 "UTeHJJ1Qd6P41A5Px94xNrgcwqtr+fDq2MJnpWHjpMGEu+4Ir2yJsfMqtrHBc+66XtSN1Xt2wiuM\n",
1987 "yuo/BABIkQ+v6LyK2wvc9bG2Kq8ErSQPjA0uh/DqWtl0Xin9fVcS4ZU1MXdeRRFeufcXvpPycMha\n",
1988 "FiC8wqgIrwBgPH5skM6ruLHvalyMDS6H8OpahFdpSSK8KurmgLoRzyva7KyJUYwL22MbG5Tsv86E\n",
1989 "VxgV4RUAjIexwTQQXo2LscHlEF5d67S6gGDdBQYpyyG8SuW0QR9CnI58xJOxwXFY33u17q6EVxgF\n",
1990 "4RUAjIexwTTc5a6EV+NgbHA5hFdbuGDAhzmpd1+lftKglM5pgymMDEqMDY7Fenjl60r1oAgYQ3gF\n",
1991 "AON5yF1fUtTNvpCFYE/ovBrXSXc9YXhprQWEV9c75a65hFcpd14lMTao9MKrmDqvYhwbjCW8iuk1\n",
1992 "RcR4EwgAI2mr8qykRyXtl/SiwOVg9wivRtRW5QV1N677lH4IsRc+vDq18Fl5yWXv1cZpg0GrGBbh\n",
1993 "lS2+/pg6rxgb7B/hFUZFeAUA42J0MH6EV+NjdHBndF5dL5fwis6reKQSXsXceRVTeGX9dSa8wqgI\n",
1994 "rwBgXJw4GD8fXj0atIq8cOLgzo65K+HVJh9eHVv4rPjlEF6lsrA9lfAqxoXtjA32j/AKoyK8AoBx\n",
1995 "ceJg/Oi8Gh8nDu6Mzqvr0XmVjo0xtaJu1oJWsjephFfnJF2VdDiiHZ6MDfaP8AqjIrwCgHExNhgx\n",
1996 "d9NEeDU+xgZ3Rnh1vdzCq2RPG2yr8pK6E83WZPdGfhlJhFfuNE/rI23bxTg2SHgFbEF4BQDjYmww\n",
1997 "bjdJWpf0fFuVUd98RIaxwZ0RXl0vt/Aq5c4rKY29V0mEV05so4OMDfaP8AqjIrwCgHExNhi3u9yV\n",
1998 "rqtx+c4rxgZnKOpmv7ob+qtKP8BYRS7hVQ6nDUpphVcpdMn5DibzJw66rmnGBvtHeIVREV4BwLg+\n",
1999 "JumipDuLurH6ZgTzMTIYBp1Xi/mF5KfaqrwStBJbcgmv6LyKB51XYRxWN3J6vq3Ky6GLWYH10UzC\n",
2000 "K4yK8AoARuTeNH3YPbw3YCnYHcKrMFjYvhgjg7MRXqVlY2l70Cr2JqXwKprOK8U5MijZ77xad9ez\n",
2001 "QatANgivAGB8jA7Gi/AqDBa2L0Z4NdspdyW8SgOdV7ZY7wraKsaRQcl+eEXnFUZFeAUA4/NL2zlx\n",
2002 "MD4+vHo0aBX5YWxwMcKr2XLrvEphj9IihFe2xDQ2GONJgxLhFXANwisAGB+dV/Gi8yqSsiF5AAAg\n",
2003 "AElEQVQMxgYX8+HVqYXPyk/y4ZVbRO3DHMIr+1IKrxgbHB7hFbAF4RUAjI/wKl6EV2FsdF65m3Vc\n",
2004 "i86r2ZIPr9TdlK9JOtNW5aXQxQyM8MoWxgaHZ/01JrzCqAivAGB8jA3Gi/AqgLYqz6hbCHtQdt/E\n",
2005 "h+RPGyS8ulYO4VUu+66kzcCH8MoGxgaHR+cVsAXhFQCMb6Pzii6S6NzlroRX42N0cD46r2Z7XtJl\n",
2006 "SetF3RwIXcxAcgqvfOdVDGNq86QUXjE2ODzCK2ALwisAGN9JdW/Cb5J0InAtWFJRN/sk3e4ePh6y\n",
2007 "lkxx4uB8hFcztFV5VZuhTqrdVzmGV3Re2RBT51WsY4OEV8AWhFcAMDJ3Q8XoYHxuV/d188m2Ki+G\n",
2008 "LiZDnDg4H+HVfKmPDuZy0qBEeGVNjJ1XhFc9cZMDvq6zIWtBPgivACAMlrbHx++7ejRoFflibHA+\n",
2009 "wqv5Ug+vfJBD55VxRd3coHjH12axvkx8q1hfd7PhlaTD7nq+rcrLQStBNgivACAMwqv4sKw9LMYG\n",
2010 "5yO8ms+HV8cWPitejA3GY2N0ra3KK0Er6Qdjg8OzHBCuu2tsgSAiRngFAGEwNhgfwquwGBucj/Bq\n",
2011 "vtQ7r3IKr3xYEsOY2iwpjQxKjA2OwY/jHTF4wA8jgxgd4RUAhEHnVXwIr8JibHA+wqv5CK/SEXvn\n",
2012 "VWrhVUydV1GODboOvXPu4eFFzw2AZe0YHeEVAIThwys6r+JBeBUWY4MzuFMwfTDzzKLnZorwKh2E\n",
2013 "V7bE1HkV69igZHfvFeEVRkd4BQBhPOSuL3E3n7CP8CosxgZn86HMsyzNnSmX8IrTBu1LNbyKqfOK\n",
2014 "8Ko/hFcYHeEVAATQVuUZdSHIAUl3By4Hy7nLXQmvwvCdV4wNXouRwcVSD69yOm1wY+eVwf0/y0gt\n",
2015 "vGJscByEV4BDeAUA4TA6GBc6r8Ki82o2f4oe4dVsqYdX2YwNus7Cs5LWFEdgsl1q4RVjg+Ow2uFG\n",
2016 "eIXREV4BQDj+xEGWtsfBh1ePBq0iX4RXs9F5tRjhVVr86GAMgcl2qYZXN0bQCcfYYP8IrzA6wisA\n",
2017 "CIcTByNR1M0RdTeJFySdClxOrp6TdFHdjZK1U5dCIrxajPAqLTHvvUoqvGqr8pKk8+ruJw8FLmcn\n",
2018 "jA32j/AKoyO8AoBwfOcVY4P23eGuH2+r8mrQSjLlXne6r65HeLUY4VVaCK9siWV0MOaxQcIrwCG8\n",
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2416 "gUJ07DcuELgAAAAASUVORK5CYII=\n"
1722 ],
2417 ],
1723 "text/plain": [
2418 "text/plain": [
1724 "<matplotlib.figure.Figure at 0x3436950>"
2419 "<matplotlib.figure.Figure at 0x106c2a9b0>"
1725 ]
2420 ]
1726 },
2421 },
1727 "metadata": {},
2422 "metadata": {
2423 "image/png": {
2424 "height": 392,
2425 "width": 599
2426 }
2427 },
1728 "output_type": "display_data"
2428 "output_type": "display_data"
1729 }
2429 }
1730 ],
2430 ],
1731 "source": [
2431 "source": [
1732 "x = np.linspace(0, 2*np.pi, 300)\n",
2432 "x = np.linspace(0, 2*np.pi, 300)\n",
1733 "y = np.sin(x**2)\n",
2433 "y = np.sin(x**2)\n",
1734 "plt.plot(x, y)\n",
2434 "plt.plot(x, y)\n",
1735 "plt.title(\"A little chirp\")\n",
2435 "plt.title(\"A little chirp\")\n",
1736 "fig = plt.gcf() # let's keep the figure object around for later..."
2436 "fig = plt.gcf() # let's keep the figure object around for later..."
1737 ]
2437 ]
1738 },
2438 },
1739 {
2439 {
1740 "cell_type": "markdown",
2440 "cell_type": "markdown",
1741 "metadata": {},
2441 "metadata": {},
1742 "source": [
2442 "source": [
1743 "## The IPython kernel/client model"
2443 "## The IPython kernel/client model"
1744 ]
2444 ]
1745 },
2445 },
1746 {
2446 {
1747 "cell_type": "code",
2447 "cell_type": "code",
1748 "execution_count": 43,
2448 "execution_count": 46,
1749 "metadata": {
2449 "metadata": {
1750 "collapsed": false
2450 "collapsed": false
1751 },
2451 },
1752 "outputs": [
2452 "outputs": [
1753 {
2453 {
1754 "name": "stdout",
2454 "name": "stdout",
1755 "output_type": "stream",
2455 "output_type": "stream",
1756 "text": [
2456 "text": [
1757 "{\n",
2457 "{\n",
1758 " \"stdin_port\": 50023, \n",
2458 " \"stdin_port\": 62401,\n",
1759 " \"ip\": \"127.0.0.1\", \n",
2459 " \"key\": \"64c935a7-64e8-4ab7-ab22-6e0f3ff84e02\",\n",
1760 " \"control_port\": 50024, \n",
2460 " \"hb_port\": 62403,\n",
1761 " \"hb_port\": 50025, \n",
2461 " \"transport\": \"tcp\",\n",
1762 " \"signature_scheme\": \"hmac-sha256\", \n",
2462 " \"signature_scheme\": \"hmac-sha256\",\n",
1763 " \"key\": \"b54b8859-d64d-48bb-814a-909f9beb3316\", \n",
2463 " \"shell_port\": 62399,\n",
1764 " \"shell_port\": 50021, \n",
2464 " \"control_port\": 62402,\n",
1765 " \"transport\": \"tcp\", \n",
2465 " \"ip\": \"127.0.0.1\",\n",
1766 " \"iopub_port\": 50022\n",
2466 " \"iopub_port\": 62400\n",
1767 "}\n",
2467 "}\n",
1768 "\n",
2468 "\n",
1769 "Paste the above JSON into a file, and connect with:\n",
2469 "Paste the above JSON into a file, and connect with:\n",
1770 " $> ipython <app> --existing <file>\n",
2470 " $> ipython <app> --existing <file>\n",
1771 "or, if you are local, you can connect with just:\n",
2471 "or, if you are local, you can connect with just:\n",
1772 " $> ipython <app> --existing kernel-30f00f4a-230c-4e64-bea5-0e5f6a52cb40.json \n",
2472 " $> ipython <app> --existing kernel-25383540-ce7f-4529-900a-ded0e510d5d8.json \n",
1773 "or even just:\n",
2473 "or even just:\n",
1774 " $> ipython <app> --existing \n",
2474 " $> ipython <app> --existing \n",
1775 "if this is the most recent IPython session you have started.\n"
2475 "if this is the most recent IPython session you have started.\n"
1776 ]
2476 ]
1777 }
2477 }
1778 ],
2478 ],
1779 "source": [
2479 "source": [
1780 "%connect_info"
2480 "%connect_info"
1781 ]
2481 ]
1782 },
2482 },
1783 {
2483 {
1784 "cell_type": "markdown",
2484 "cell_type": "markdown",
1785 "metadata": {},
2485 "metadata": {},
1786 "source": [
2486 "source": [
1787 "We can connect automatically a Qt Console to the currently running kernel with the `%qtconsole` magic, or by typing `ipython console --existing <kernel-UUID>` in any terminal:"
2487 "We can connect automatically a Qt Console to the currently running kernel with the `%qtconsole` magic, or by typing `ipython console --existing <kernel-UUID>` in any terminal:"
1788 ]
2488 ]
1789 },
2489 },
1790 {
2490 {
1791 "cell_type": "code",
2491 "cell_type": "code",
1792 "execution_count": 83,
2492 "execution_count": 47,
1793 "metadata": {
2493 "metadata": {
1794 "collapsed": false
2494 "collapsed": false
1795 },
2495 },
1796 "outputs": [],
2496 "outputs": [],
1797 "source": [
2497 "source": [
1798 "%qtconsole"
2498 "%qtconsole"
1799 ]
2499 ]
1800 }
2500 }
1801 ],
2501 ],
1802 "metadata": {
2502 "metadata": {
1803 "kernelspec": {
2503 "kernelspec": {
1804 "display_name": "Python 3",
2504 "display_name": "Python 3",
1805 "language": "python",
2505 "language": "python",
1806 "name": "python3"
2506 "name": "python3"
1807 },
2507 },
1808 "language_info": {
2508 "language_info": {
1809 "codemirror_mode": {
2509 "codemirror_mode": {
1810 "name": "ipython",
2510 "name": "ipython",
1811 "version": 3
2511 "version": 3
1812 },
2512 },
1813 "file_extension": ".py",
2513 "file_extension": ".py",
1814 "mimetype": "text/x-python",
2514 "mimetype": "text/x-python",
1815 "name": "python",
2515 "name": "python",
1816 "nbconvert_exporter": "python",
2516 "nbconvert_exporter": "python",
1817 "pygments_lexer": "ipython3",
2517 "pygments_lexer": "ipython3",
1818 "version": "3.4.2"
2518 "version": "3.4.2"
1819 }
2519 }
1820 },
2520 },
1821 "nbformat": 4,
2521 "nbformat": 4,
1822 "nbformat_minor": 0
2522 "nbformat_minor": 0
1823 }
2523 }
@@ -1,505 +1,505 b''
1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {},
5 "metadata": {},
6 "source": [
6 "source": [
7 "# Capturing Output With <tt>%%capture</tt>"
7 "# Capturing Output With <tt>%%capture</tt>"
8 ]
8 ]
9 },
9 },
10 {
10 {
11 "cell_type": "markdown",
11 "cell_type": "markdown",
12 "metadata": {},
12 "metadata": {},
13 "source": [
13 "source": [
14 "IPython has a [cell magic](Cell Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
14 "IPython has a [cell magic](Cell Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
15 ]
15 ]
16 },
16 },
17 {
17 {
18 "cell_type": "code",
18 "cell_type": "code",
19 "execution_count": 9,
19 "execution_count": 1,
20 "metadata": {
20 "metadata": {
21 "collapsed": false
21 "collapsed": false
22 },
22 },
23 "outputs": [],
23 "outputs": [],
24 "source": [
24 "source": [
25 "from __future__ import print_function\n",
25 "from __future__ import print_function\n",
26 "import sys"
26 "import sys"
27 ]
27 ]
28 },
28 },
29 {
29 {
30 "cell_type": "markdown",
30 "cell_type": "markdown",
31 "metadata": {},
31 "metadata": {},
32 "source": [
32 "source": [
33 "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
33 "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
34 ]
34 ]
35 },
35 },
36 {
36 {
37 "cell_type": "code",
37 "cell_type": "code",
38 "execution_count": 10,
38 "execution_count": 2,
39 "metadata": {
39 "metadata": {
40 "collapsed": false
40 "collapsed": false
41 },
41 },
42 "outputs": [],
42 "outputs": [],
43 "source": [
43 "source": [
44 "%%capture\n",
44 "%%capture\n",
45 "print('hi, stdout')\n",
45 "print('hi, stdout')\n",
46 "print('hi, stderr', file=sys.stderr)"
46 "print('hi, stderr', file=sys.stderr)"
47 ]
47 ]
48 },
48 },
49 {
49 {
50 "cell_type": "markdown",
50 "cell_type": "markdown",
51 "metadata": {},
51 "metadata": {},
52 "source": [
52 "source": [
53 "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
53 "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
54 ]
54 ]
55 },
55 },
56 {
56 {
57 "cell_type": "code",
57 "cell_type": "code",
58 "execution_count": 11,
58 "execution_count": 3,
59 "metadata": {
59 "metadata": {
60 "collapsed": false
60 "collapsed": false
61 },
61 },
62 "outputs": [],
62 "outputs": [],
63 "source": [
63 "source": [
64 "%%capture captured\n",
64 "%%capture captured\n",
65 "print('hi, stdout')\n",
65 "print('hi, stdout')\n",
66 "print('hi, stderr', file=sys.stderr)"
66 "print('hi, stderr', file=sys.stderr)"
67 ]
67 ]
68 },
68 },
69 {
69 {
70 "cell_type": "code",
70 "cell_type": "code",
71 "execution_count": 12,
71 "execution_count": 4,
72 "metadata": {
72 "metadata": {
73 "collapsed": false
73 "collapsed": false
74 },
74 },
75 "outputs": [
75 "outputs": [
76 {
76 {
77 "data": {
77 "data": {
78 "text/plain": [
78 "text/plain": [
79 "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
79 "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
80 ]
80 ]
81 },
81 },
82 "execution_count": 12,
82 "execution_count": 4,
83 "metadata": {},
83 "metadata": {},
84 "output_type": "execute_result"
84 "output_type": "execute_result"
85 }
85 }
86 ],
86 ],
87 "source": [
87 "source": [
88 "captured"
88 "captured"
89 ]
89 ]
90 },
90 },
91 {
91 {
92 "cell_type": "markdown",
92 "cell_type": "markdown",
93 "metadata": {},
93 "metadata": {},
94 "source": [
94 "source": [
95 "Calling the object writes the output to stdout/stderr as appropriate."
95 "Calling the object writes the output to stdout/stderr as appropriate."
96 ]
96 ]
97 },
97 },
98 {
98 {
99 "cell_type": "code",
99 "cell_type": "code",
100 "execution_count": 13,
100 "execution_count": 5,
101 "metadata": {
101 "metadata": {
102 "collapsed": false
102 "collapsed": false
103 },
103 },
104 "outputs": [
104 "outputs": [
105 {
105 {
106 "name": "stdout",
106 "name": "stdout",
107 "output_type": "stream",
107 "output_type": "stream",
108 "text": [
108 "text": [
109 "hi, stdout\n"
109 "hi, stdout\n"
110 ]
110 ]
111 },
111 },
112 {
112 {
113 "name": "stderr",
113 "name": "stderr",
114 "output_type": "stream",
114 "output_type": "stream",
115 "text": [
115 "text": [
116 "hi, stderr\n"
116 "hi, stderr\n"
117 ]
117 ]
118 }
118 }
119 ],
119 ],
120 "source": [
120 "source": [
121 "captured()"
121 "captured()"
122 ]
122 ]
123 },
123 },
124 {
124 {
125 "cell_type": "code",
125 "cell_type": "code",
126 "execution_count": 14,
126 "execution_count": 6,
127 "metadata": {
127 "metadata": {
128 "collapsed": false
128 "collapsed": false
129 },
129 },
130 "outputs": [
130 "outputs": [
131 {
131 {
132 "data": {
132 "data": {
133 "text/plain": [
133 "text/plain": [
134 "'hi, stdout\\n'"
134 "'hi, stdout\\n'"
135 ]
135 ]
136 },
136 },
137 "execution_count": 14,
137 "execution_count": 6,
138 "metadata": {},
138 "metadata": {},
139 "output_type": "execute_result"
139 "output_type": "execute_result"
140 }
140 }
141 ],
141 ],
142 "source": [
142 "source": [
143 "captured.stdout"
143 "captured.stdout"
144 ]
144 ]
145 },
145 },
146 {
146 {
147 "cell_type": "code",
147 "cell_type": "code",
148 "execution_count": 15,
148 "execution_count": 7,
149 "metadata": {
149 "metadata": {
150 "collapsed": false
150 "collapsed": false
151 },
151 },
152 "outputs": [
152 "outputs": [
153 {
153 {
154 "data": {
154 "data": {
155 "text/plain": [
155 "text/plain": [
156 "'hi, stderr\\n'"
156 "'hi, stderr\\n'"
157 ]
157 ]
158 },
158 },
159 "execution_count": 15,
159 "execution_count": 7,
160 "metadata": {},
160 "metadata": {},
161 "output_type": "execute_result"
161 "output_type": "execute_result"
162 }
162 }
163 ],
163 ],
164 "source": [
164 "source": [
165 "captured.stderr"
165 "captured.stderr"
166 ]
166 ]
167 },
167 },
168 {
168 {
169 "cell_type": "markdown",
169 "cell_type": "markdown",
170 "metadata": {},
170 "metadata": {},
171 "source": [
171 "source": [
172 "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
172 "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
173 ]
173 ]
174 },
174 },
175 {
175 {
176 "cell_type": "code",
176 "cell_type": "code",
177 "execution_count": 16,
177 "execution_count": 8,
178 "metadata": {
178 "metadata": {
179 "collapsed": false
179 "collapsed": false
180 },
180 },
181 "outputs": [],
181 "outputs": [],
182 "source": [
182 "source": [
183 "%matplotlib inline\n",
183 "%matplotlib inline\n",
184 "import matplotlib.pyplot as plt\n",
184 "import matplotlib.pyplot as plt\n",
185 "import numpy as np"
185 "import numpy as np"
186 ]
186 ]
187 },
187 },
188 {
188 {
189 "cell_type": "code",
189 "cell_type": "code",
190 "execution_count": 17,
190 "execution_count": 9,
191 "metadata": {
191 "metadata": {
192 "collapsed": false
192 "collapsed": false
193 },
193 },
194 "outputs": [],
194 "outputs": [],
195 "source": [
195 "source": [
196 "%%capture wontshutup\n",
196 "%%capture wontshutup\n",
197 "\n",
197 "\n",
198 "print(\"setting up X\")\n",
198 "print(\"setting up X\")\n",
199 "x = np.linspace(0,5,1000)\n",
199 "x = np.linspace(0,5,1000)\n",
200 "print(\"step 2: constructing y-data\")\n",
200 "print(\"step 2: constructing y-data\")\n",
201 "y = np.sin(x)\n",
201 "y = np.sin(x)\n",
202 "print(\"step 3: display info about y\")\n",
202 "print(\"step 3: display info about y\")\n",
203 "plt.plot(x,y)\n",
203 "plt.plot(x,y)\n",
204 "print(\"okay, I'm done now\")"
204 "print(\"okay, I'm done now\")"
205 ]
205 ]
206 },
206 },
207 {
207 {
208 "cell_type": "code",
208 "cell_type": "code",
209 "execution_count": 18,
209 "execution_count": 10,
210 "metadata": {
210 "metadata": {
211 "collapsed": false
211 "collapsed": false
212 },
212 },
213 "outputs": [
213 "outputs": [
214 {
214 {
215 "name": "stdout",
215 "name": "stdout",
216 "output_type": "stream",
216 "output_type": "stream",
217 "text": [
217 "text": [
218 "setting up X\n",
218 "setting up X\n",
219 "step 2: constructing y-data\n",
219 "step 2: constructing y-data\n",
220 "step 3: display info about y\n",
220 "step 3: display info about y\n",
221 "okay, I'm done now\n"
221 "okay, I'm done now\n"
222 ]
222 ]
223 },
223 },
224 {
224 {
225 "data": {
225 "data": {
226 "image/png": [
226 "image/png": [
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375 "AAAASUVORK5CYII=\n"
375 "AAAASUVORK5CYII=\n"
376 ],
376 ],
377 "text/plain": [
377 "text/plain": [
378 "<matplotlib.figure.Figure at 0x10866ae90>"
378 "<matplotlib.figure.Figure at 0x10866ae90>"
379 ]
379 ]
380 },
380 },
381 "metadata": {},
381 "metadata": {},
382 "output_type": "display_data"
382 "output_type": "display_data"
383 }
383 }
384 ],
384 ],
385 "source": [
385 "source": [
386 "wontshutup()"
386 "wontshutup()"
387 ]
387 ]
388 },
388 },
389 {
389 {
390 "cell_type": "markdown",
390 "cell_type": "markdown",
391 "metadata": {},
391 "metadata": {},
392 "source": [
392 "source": [
393 "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
393 "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
394 ]
394 ]
395 },
395 },
396 {
396 {
397 "cell_type": "code",
397 "cell_type": "code",
398 "execution_count": 19,
398 "execution_count": 11,
399 "metadata": {
399 "metadata": {
400 "collapsed": false
400 "collapsed": false
401 },
401 },
402 "outputs": [
402 "outputs": [
403 {
403 {
404 "name": "stderr",
404 "name": "stderr",
405 "output_type": "stream",
405 "output_type": "stream",
406 "text": [
406 "text": [
407 "hello, stderr\n"
407 "hello, stderr\n"
408 ]
408 ]
409 }
409 }
410 ],
410 ],
411 "source": [
411 "source": [
412 "%%capture cap --no-stderr\n",
412 "%%capture cap --no-stderr\n",
413 "print('hi, stdout')\n",
413 "print('hi, stdout')\n",
414 "print(\"hello, stderr\", file=sys.stderr)"
414 "print(\"hello, stderr\", file=sys.stderr)"
415 ]
415 ]
416 },
416 },
417 {
417 {
418 "cell_type": "code",
418 "cell_type": "code",
419 "execution_count": 20,
419 "execution_count": 12,
420 "metadata": {
420 "metadata": {
421 "collapsed": false
421 "collapsed": false
422 },
422 },
423 "outputs": [
423 "outputs": [
424 {
424 {
425 "data": {
425 "data": {
426 "text/plain": [
426 "text/plain": [
427 "'hi, stdout\\n'"
427 "'hi, stdout\\n'"
428 ]
428 ]
429 },
429 },
430 "execution_count": 20,
430 "execution_count": 12,
431 "metadata": {},
431 "metadata": {},
432 "output_type": "execute_result"
432 "output_type": "execute_result"
433 }
433 }
434 ],
434 ],
435 "source": [
435 "source": [
436 "cap.stdout"
436 "cap.stdout"
437 ]
437 ]
438 },
438 },
439 {
439 {
440 "cell_type": "code",
440 "cell_type": "code",
441 "execution_count": 21,
441 "execution_count": 13,
442 "metadata": {
442 "metadata": {
443 "collapsed": false
443 "collapsed": false
444 },
444 },
445 "outputs": [
445 "outputs": [
446 {
446 {
447 "data": {
447 "data": {
448 "text/plain": [
448 "text/plain": [
449 "''"
449 "''"
450 ]
450 ]
451 },
451 },
452 "execution_count": 21,
452 "execution_count": 13,
453 "metadata": {},
453 "metadata": {},
454 "output_type": "execute_result"
454 "output_type": "execute_result"
455 }
455 }
456 ],
456 ],
457 "source": [
457 "source": [
458 "cap.stderr"
458 "cap.stderr"
459 ]
459 ]
460 },
460 },
461 {
461 {
462 "cell_type": "code",
462 "cell_type": "code",
463 "execution_count": 22,
463 "execution_count": 14,
464 "metadata": {
464 "metadata": {
465 "collapsed": false
465 "collapsed": false
466 },
466 },
467 "outputs": [
467 "outputs": [
468 {
468 {
469 "data": {
469 "data": {
470 "text/plain": [
470 "text/plain": [
471 "[]"
471 "[]"
472 ]
472 ]
473 },
473 },
474 "execution_count": 22,
474 "execution_count": 14,
475 "metadata": {},
475 "metadata": {},
476 "output_type": "execute_result"
476 "output_type": "execute_result"
477 }
477 }
478 ],
478 ],
479 "source": [
479 "source": [
480 "cap.outputs"
480 "cap.outputs"
481 ]
481 ]
482 }
482 }
483 ],
483 ],
484 "metadata": {
484 "metadata": {
485 "kernelspec": {
485 "kernelspec": {
486 "display_name": "Python 3",
486 "display_name": "Python 3",
487 "language": "python",
487 "language": "python",
488 "name": "python3"
488 "name": "python3"
489 },
489 },
490 "language_info": {
490 "language_info": {
491 "codemirror_mode": {
491 "codemirror_mode": {
492 "name": "ipython",
492 "name": "ipython",
493 "version": 3
493 "version": 3
494 },
494 },
495 "file_extension": ".py",
495 "file_extension": ".py",
496 "mimetype": "text/x-python",
496 "mimetype": "text/x-python",
497 "name": "python",
497 "name": "python",
498 "nbconvert_exporter": "python",
498 "nbconvert_exporter": "python",
499 "pygments_lexer": "ipython3",
499 "pygments_lexer": "ipython3",
500 "version": "3.4.2"
500 "version": "3.4.2"
501 }
501 }
502 },
502 },
503 "nbformat": 4,
503 "nbformat": 4,
504 "nbformat_minor": 0
504 "nbformat_minor": 0
505 }
505 }
@@ -1,717 +1,689 b''
1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {},
5 "metadata": {},
6 "source": [
6 "source": [
7 "# Cell Magics in IPython"
7 "# Cell Magics in IPython"
8 ]
8 ]
9 },
9 },
10 {
10 {
11 "cell_type": "markdown",
11 "cell_type": "markdown",
12 "metadata": {},
12 "metadata": {},
13 "source": [
13 "source": [
14 "IPython has a system of commands we call 'magics' that provide effectively a mini command language that is orthogonal to the syntax of Python and is extensible by the user with new commands. Magics are meant to be typed interactively, so they use command-line conventions, such as using whitespace for separating arguments, dashes for options and other conventions typical of a command-line environment.\n",
14 "IPython has a system of commands we call 'magics' that provide a mini command language that is orthogonal to the syntax of Python and is extensible by the user with new commands. Magics are meant to be typed interactively, so they use command-line conventions, such as using whitespace for separating arguments, dashes for options and other conventions typical of a command-line environment.\n",
15 "\n",
15 "\n",
16 "Magics come in two kinds:\n",
16 "Magics come in two kinds:\n",
17 "\n",
17 "\n",
18 "* Line magics: these are commands prepended by one `%` character and whose arguments only extend to the end of the current line.\n",
18 "* Line magics: these are commands prepended by one `%` character and whose arguments only extend to the end of the current line.\n",
19 "* Cell magics: these use *two* percent characters as a marker (`%%`), and they receive as argument *both* the current line where they are declared and the whole body of the cell. Note that cell magics can *only* be used as the first line in a cell, and as a general principle they can't be 'stacked' (i.e. you can only use one cell magic per cell). A few of them, because of how they operate, can be stacked, but that is something you will discover on a case by case basis.\n",
19 "* Cell magics: these use *two* percent characters as a marker (`%%`), and they receive as argument *both* the current line where they are declared and the whole body of the cell. Note that cell magics can *only* be used as the first line in a cell, and as a general principle they can't be 'stacked' (i.e. you can only use one cell magic per cell). A few of them, because of how they operate, can be stacked, but that is something you will discover on a case by case basis.\n",
20 "\n",
20 "\n",
21 "The `%lsmagic` magic is used to list all available magics, and it will show both line and cell magics currently defined:"
21 "The `%lsmagic` magic is used to list all available magics, and it will show both line and cell magics currently defined:"
22 ]
22 ]
23 },
23 },
24 {
24 {
25 "cell_type": "code",
25 "cell_type": "code",
26 "execution_count": 1,
26 "execution_count": 1,
27 "metadata": {
27 "metadata": {
28 "collapsed": false
28 "collapsed": false
29 },
29 },
30 "outputs": [
30 "outputs": [
31 {
31 {
32 "data": {
32 "data": {
33 "application/json": {
33 "application/json": {
34 "cell": {
34 "cell": {
35 "!": "OSMagics",
35 "!": "OSMagics",
36 "HTML": "Other",
36 "HTML": "Other",
37 "SVG": "Other",
37 "SVG": "Other",
38 "bash": "Other",
38 "bash": "Other",
39 "capture": "ExecutionMagics",
39 "capture": "ExecutionMagics",
40 "debug": "ExecutionMagics",
40 "debug": "ExecutionMagics",
41 "file": "Other",
41 "file": "Other",
42 "html": "DisplayMagics",
42 "html": "DisplayMagics",
43 "javascript": "DisplayMagics",
43 "javascript": "DisplayMagics",
44 "latex": "DisplayMagics",
44 "latex": "DisplayMagics",
45 "perl": "Other",
45 "perl": "Other",
46 "prun": "ExecutionMagics",
46 "prun": "ExecutionMagics",
47 "pypy": "Other",
47 "pypy": "Other",
48 "python": "Other",
48 "python": "Other",
49 "python2": "Other",
49 "python3": "Other",
50 "python3": "Other",
50 "ruby": "Other",
51 "ruby": "Other",
51 "script": "ScriptMagics",
52 "script": "ScriptMagics",
52 "sh": "Other",
53 "sh": "Other",
53 "svg": "DisplayMagics",
54 "svg": "DisplayMagics",
54 "sx": "OSMagics",
55 "sx": "OSMagics",
55 "system": "OSMagics",
56 "system": "OSMagics",
56 "time": "ExecutionMagics",
57 "time": "ExecutionMagics",
57 "timeit": "ExecutionMagics",
58 "timeit": "ExecutionMagics",
58 "writefile": "OSMagics"
59 "writefile": "OSMagics"
59 },
60 },
60 "line": {
61 "line": {
61 "alias": "OSMagics",
62 "alias": "OSMagics",
62 "alias_magic": "BasicMagics",
63 "alias_magic": "BasicMagics",
63 "autocall": "AutoMagics",
64 "autocall": "AutoMagics",
64 "automagic": "AutoMagics",
65 "automagic": "AutoMagics",
65 "autosave": "KernelMagics",
66 "autosave": "KernelMagics",
66 "bookmark": "OSMagics",
67 "bookmark": "OSMagics",
68 "cat": "Other",
67 "cd": "OSMagics",
69 "cd": "OSMagics",
68 "clear": "KernelMagics",
70 "clear": "KernelMagics",
69 "colors": "BasicMagics",
71 "colors": "BasicMagics",
70 "config": "ConfigMagics",
72 "config": "ConfigMagics",
71 "connect_info": "KernelMagics",
73 "connect_info": "KernelMagics",
74 "cp": "Other",
72 "debug": "ExecutionMagics",
75 "debug": "ExecutionMagics",
73 "dhist": "OSMagics",
76 "dhist": "OSMagics",
74 "dirs": "OSMagics",
77 "dirs": "OSMagics",
75 "doctest_mode": "KernelMagics",
78 "doctest_mode": "BasicMagics",
76 "ed": "Other",
79 "ed": "Other",
77 "edit": "KernelMagics",
80 "edit": "KernelMagics",
78 "env": "OSMagics",
81 "env": "OSMagics",
79 "gist": "Other",
80 "gui": "BasicMagics",
82 "gui": "BasicMagics",
81 "hist": "Other",
83 "hist": "Other",
82 "history": "HistoryMagics",
84 "history": "HistoryMagics",
83 "install_default_config": "DeprecatedMagics",
85 "install_default_config": "DeprecatedMagics",
84 "install_ext": "ExtensionMagics",
86 "install_ext": "ExtensionMagics",
85 "install_profiles": "DeprecatedMagics",
87 "install_profiles": "DeprecatedMagics",
86 "killbgscripts": "ScriptMagics",
88 "killbgscripts": "ScriptMagics",
89 "ldir": "Other",
87 "less": "KernelMagics",
90 "less": "KernelMagics",
91 "lf": "Other",
92 "lk": "Other",
93 "ll": "Other",
88 "load": "CodeMagics",
94 "load": "CodeMagics",
89 "load_ext": "ExtensionMagics",
95 "load_ext": "ExtensionMagics",
90 "loadpy": "CodeMagics",
96 "loadpy": "CodeMagics",
91 "logoff": "LoggingMagics",
97 "logoff": "LoggingMagics",
92 "logon": "LoggingMagics",
98 "logon": "LoggingMagics",
93 "logstart": "LoggingMagics",
99 "logstart": "LoggingMagics",
94 "logstate": "LoggingMagics",
100 "logstate": "LoggingMagics",
95 "logstop": "LoggingMagics",
101 "logstop": "LoggingMagics",
102 "ls": "Other",
96 "lsmagic": "BasicMagics",
103 "lsmagic": "BasicMagics",
104 "lx": "Other",
97 "macro": "ExecutionMagics",
105 "macro": "ExecutionMagics",
98 "magic": "BasicMagics",
106 "magic": "BasicMagics",
99 "man": "KernelMagics",
107 "man": "KernelMagics",
100 "matplotlib": "PylabMagics",
108 "matplotlib": "PylabMagics",
109 "mkdir": "Other",
101 "more": "KernelMagics",
110 "more": "KernelMagics",
111 "mv": "Other",
102 "notebook": "BasicMagics",
112 "notebook": "BasicMagics",
103 "page": "BasicMagics",
113 "page": "BasicMagics",
104 "pastebin": "CodeMagics",
114 "pastebin": "CodeMagics",
105 "pdb": "ExecutionMagics",
115 "pdb": "ExecutionMagics",
106 "pdef": "NamespaceMagics",
116 "pdef": "NamespaceMagics",
107 "pdoc": "NamespaceMagics",
117 "pdoc": "NamespaceMagics",
108 "pfile": "NamespaceMagics",
118 "pfile": "NamespaceMagics",
109 "pinfo": "NamespaceMagics",
119 "pinfo": "NamespaceMagics",
110 "pinfo2": "NamespaceMagics",
120 "pinfo2": "NamespaceMagics",
111 "popd": "OSMagics",
121 "popd": "OSMagics",
112 "pprint": "BasicMagics",
122 "pprint": "BasicMagics",
113 "precision": "BasicMagics",
123 "precision": "BasicMagics",
114 "profile": "BasicMagics",
124 "profile": "BasicMagics",
115 "prun": "ExecutionMagics",
125 "prun": "ExecutionMagics",
116 "psearch": "NamespaceMagics",
126 "psearch": "NamespaceMagics",
117 "psource": "NamespaceMagics",
127 "psource": "NamespaceMagics",
118 "pushd": "OSMagics",
128 "pushd": "OSMagics",
119 "pwd": "OSMagics",
129 "pwd": "OSMagics",
120 "pycat": "OSMagics",
130 "pycat": "OSMagics",
121 "pylab": "PylabMagics",
131 "pylab": "PylabMagics",
122 "qtconsole": "KernelMagics",
132 "qtconsole": "KernelMagics",
123 "quickref": "BasicMagics",
133 "quickref": "BasicMagics",
124 "recall": "HistoryMagics",
134 "recall": "HistoryMagics",
125 "rehashx": "OSMagics",
135 "rehashx": "OSMagics",
126 "reload_ext": "ExtensionMagics",
136 "reload_ext": "ExtensionMagics",
127 "rep": "Other",
137 "rep": "Other",
128 "rerun": "HistoryMagics",
138 "rerun": "HistoryMagics",
129 "reset": "NamespaceMagics",
139 "reset": "NamespaceMagics",
130 "reset_selective": "NamespaceMagics",
140 "reset_selective": "NamespaceMagics",
141 "rm": "Other",
142 "rmdir": "Other",
131 "run": "ExecutionMagics",
143 "run": "ExecutionMagics",
132 "save": "CodeMagics",
144 "save": "CodeMagics",
133 "sc": "OSMagics",
145 "sc": "OSMagics",
146 "set_env": "OSMagics",
134 "store": "StoreMagics",
147 "store": "StoreMagics",
135 "sx": "OSMagics",
148 "sx": "OSMagics",
136 "system": "OSMagics",
149 "system": "OSMagics",
137 "tb": "ExecutionMagics",
150 "tb": "ExecutionMagics",
138 "tic": "TimerMagics",
139 "time": "ExecutionMagics",
151 "time": "ExecutionMagics",
140 "timeit": "ExecutionMagics",
152 "timeit": "ExecutionMagics",
141 "toc": "TimerMagics",
142 "unalias": "OSMagics",
153 "unalias": "OSMagics",
143 "unload_ext": "ExtensionMagics",
154 "unload_ext": "ExtensionMagics",
144 "who": "NamespaceMagics",
155 "who": "NamespaceMagics",
145 "who_ls": "NamespaceMagics",
156 "who_ls": "NamespaceMagics",
146 "whos": "NamespaceMagics",
157 "whos": "NamespaceMagics",
147 "xdel": "NamespaceMagics",
158 "xdel": "NamespaceMagics",
148 "xmode": "BasicMagics"
159 "xmode": "BasicMagics"
149 }
160 }
150 },
161 },
151 "text/plain": [
162 "text/plain": [
152 "Available line magics:\n",
163 "Available line magics:\n",
153 "%alias %alias_magic %autocall %automagic %autosave %bookmark %cd %clear %colors %config %connect_info %debug %dhist %dirs %doctest_mode %ed %edit %env %gist %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %less %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %lsmagic %macro %magic %man %matplotlib %more %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %run %save %sc %store %sx %system %tb %tic %time %timeit %toc %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
164 "%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
154 "\n",
165 "\n",
155 "Available cell magics:\n",
166 "Available cell magics:\n",
156 "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
167 "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
157 "\n",
168 "\n",
158 "Automagic is ON, % prefix IS NOT needed for line magics."
169 "Automagic is ON, % prefix IS NOT needed for line magics."
159 ]
170 ]
160 },
171 },
161 "execution_count": 1,
172 "execution_count": 1,
162 "metadata": {},
173 "metadata": {},
163 "output_type": "execute_result"
174 "output_type": "execute_result"
164 }
175 }
165 ],
176 ],
166 "source": [
177 "source": [
167 "%lsmagic"
178 "%lsmagic"
168 ]
179 ]
169 },
180 },
170 {
181 {
171 "cell_type": "markdown",
182 "cell_type": "markdown",
172 "metadata": {},
183 "metadata": {},
173 "source": [
184 "source": [
174 "Since in the introductory section we already covered the most frequently used line magics, we will focus here on the cell magics, which offer a great amount of power.\n",
185 "Since in the introductory section we already covered the most frequently used line magics, we will focus here on the cell magics, which offer a great amount of power.\n",
175 "\n",
186 "\n",
176 "Let's load matplotlib and numpy so we can use numerics/plotting at will later on."
187 "Let's load matplotlib and numpy so we can use numerics/plotting at will later on."
177 ]
188 ]
178 },
189 },
179 {
190 {
180 "cell_type": "code",
191 "cell_type": "code",
181 "execution_count": 2,
192 "execution_count": 2,
182 "metadata": {
193 "metadata": {
183 "collapsed": false
194 "collapsed": false
184 },
195 },
185 "outputs": [],
196 "outputs": [],
186 "source": [
197 "source": [
187 "%matplotlib inline\n",
198 "%matplotlib inline\n",
188 "import numpy as np\n",
199 "import numpy as np\n",
189 "import matplotlib.pyplot as plt"
200 "import matplotlib.pyplot as plt"
190 ]
201 ]
191 },
202 },
192 {
203 {
193 "cell_type": "markdown",
204 "cell_type": "markdown",
194 "metadata": {},
205 "metadata": {},
195 "source": [
206 "source": [
196 "## <!--====--> Some simple cell magics"
207 "## <!--====--> Some simple cell magics"
197 ]
208 ]
198 },
209 },
199 {
210 {
200 "cell_type": "markdown",
211 "cell_type": "markdown",
201 "metadata": {},
212 "metadata": {},
202 "source": [
213 "source": [
203 "Timing the execution of code; the 'timeit' magic exists both in line and cell form:"
214 "Timing the execution of code; the 'timeit' magic exists both in line and cell form:"
204 ]
215 ]
205 },
216 },
206 {
217 {
207 "cell_type": "code",
218 "cell_type": "code",
208 "execution_count": 3,
219 "execution_count": 3,
209 "metadata": {
220 "metadata": {
210 "collapsed": false
221 "collapsed": false
211 },
222 },
212 "outputs": [
223 "outputs": [
213 {
224 {
214 "name": "stdout",
225 "name": "stdout",
215 "output_type": "stream",
226 "output_type": "stream",
216 "text": [
227 "text": [
217 "100 loops, best of 3: 6.05 ms per loop\n"
228 "100 loops, best of 3: 7.06 ms per loop\n"
218 ]
229 ]
219 }
230 }
220 ],
231 ],
221 "source": [
232 "source": [
222 "%timeit np.linalg.eigvals(np.random.rand(100,100))"
233 "%timeit np.linalg.eigvals(np.random.rand(100,100))"
223 ]
234 ]
224 },
235 },
225 {
236 {
226 "cell_type": "code",
237 "cell_type": "code",
227 "execution_count": 4,
238 "execution_count": 4,
228 "metadata": {
239 "metadata": {
229 "collapsed": false
240 "collapsed": false
230 },
241 },
231 "outputs": [
242 "outputs": [
232 {
243 {
233 "name": "stdout",
244 "name": "stdout",
234 "output_type": "stream",
245 "output_type": "stream",
235 "text": [
246 "text": [
236 "100 loops, best of 3: 6.07 ms per loop\n"
247 "100 loops, best of 3: 7.4 ms per loop\n"
237 ]
248 ]
238 }
249 }
239 ],
250 ],
240 "source": [
251 "source": [
241 "%%timeit a = np.random.rand(100, 100)\n",
252 "%%timeit a = np.random.rand(100, 100)\n",
242 "np.linalg.eigvals(a)"
253 "np.linalg.eigvals(a)"
243 ]
254 ]
244 },
255 },
245 {
256 {
246 "cell_type": "markdown",
257 "cell_type": "markdown",
247 "metadata": {},
258 "metadata": {},
248 "source": [
259 "source": [
249 "The `%%capture` magic can be used to capture the stdout/err of any block of python code, either to discard it (if it's noise to you) or to store it in a variable for later use:"
260 "The `%%capture` magic can be used to capture the stdout/err of any block of python code, either to discard it (if it's noise to you) or to store it in a variable for later use:"
250 ]
261 ]
251 },
262 },
252 {
263 {
253 "cell_type": "code",
264 "cell_type": "code",
254 "execution_count": 5,
265 "execution_count": 5,
255 "metadata": {
266 "metadata": {
256 "collapsed": false
267 "collapsed": false
257 },
268 },
258 "outputs": [],
269 "outputs": [],
259 "source": [
270 "source": [
260 "%%capture capt\n",
271 "%%capture capt\n",
261 "from __future__ import print_function\n",
272 "from __future__ import print_function\n",
262 "import sys\n",
273 "import sys\n",
263 "print('Hello stdout')\n",
274 "print('Hello stdout')\n",
264 "print('and stderr', file=sys.stderr)"
275 "print('and stderr', file=sys.stderr)"
265 ]
276 ]
266 },
277 },
267 {
278 {
268 "cell_type": "code",
279 "cell_type": "code",
269 "execution_count": 6,
280 "execution_count": 6,
270 "metadata": {
281 "metadata": {
271 "collapsed": false
282 "collapsed": false
272 },
283 },
273 "outputs": [
284 "outputs": [
274 {
285 {
275 "data": {
286 "data": {
276 "text/plain": [
287 "text/plain": [
277 "('Hello stdout\\n', 'and stderr\\n')"
288 "('Hello stdout\\n', 'and stderr\\n')"
278 ]
289 ]
279 },
290 },
280 "execution_count": 6,
291 "execution_count": 6,
281 "metadata": {},
292 "metadata": {},
282 "output_type": "execute_result"
293 "output_type": "execute_result"
283 }
294 }
284 ],
295 ],
285 "source": [
296 "source": [
286 "capt.stdout, capt.stderr"
297 "capt.stdout, capt.stderr"
287 ]
298 ]
288 },
299 },
289 {
300 {
290 "cell_type": "code",
301 "cell_type": "code",
291 "execution_count": 7,
302 "execution_count": 7,
292 "metadata": {
303 "metadata": {
293 "collapsed": false
304 "collapsed": false
294 },
305 },
295 "outputs": [
306 "outputs": [
296 {
307 {
297 "name": "stdout",
308 "name": "stdout",
298 "output_type": "stream",
309 "output_type": "stream",
299 "text": [
310 "text": [
300 "Hello stdout\n"
311 "Hello stdout\n"
301 ]
312 ]
302 },
313 },
303 {
314 {
304 "name": "stderr",
315 "name": "stderr",
305 "output_type": "stream",
316 "output_type": "stream",
306 "text": [
317 "text": [
307 "and stderr\n"
318 "and stderr\n"
308 ]
319 ]
309 }
320 }
310 ],
321 ],
311 "source": [
322 "source": [
312 "capt.show()"
323 "capt.show()"
313 ]
324 ]
314 },
325 },
315 {
326 {
316 "cell_type": "markdown",
327 "cell_type": "markdown",
317 "metadata": {},
328 "metadata": {},
318 "source": [
329 "source": [
319 "The `%%writefile` magic is a very useful tool that writes the cell contents as a named file:"
330 "The `%%writefile` magic is a very useful tool that writes the cell contents as a named file:"
320 ]
331 ]
321 },
332 },
322 {
333 {
323 "cell_type": "code",
334 "cell_type": "code",
324 "execution_count": 8,
335 "execution_count": 8,
325 "metadata": {
336 "metadata": {
326 "collapsed": false
337 "collapsed": false
327 },
338 },
328 "outputs": [
339 "outputs": [
329 {
340 {
330 "name": "stdout",
341 "name": "stdout",
331 "output_type": "stream",
342 "output_type": "stream",
332 "text": [
343 "text": [
333 "Writing foo.py\n"
344 "Writing foo.py\n"
334 ]
345 ]
335 }
346 }
336 ],
347 ],
337 "source": [
348 "source": [
338 "%%writefile foo.py\n",
349 "%%writefile foo.py\n",
339 "print('Hello world')"
350 "print('Hello world')"
340 ]
351 ]
341 },
352 },
342 {
353 {
343 "cell_type": "code",
354 "cell_type": "code",
344 "execution_count": 9,
355 "execution_count": 9,
345 "metadata": {
356 "metadata": {
346 "collapsed": false
357 "collapsed": false
347 },
358 },
348 "outputs": [
359 "outputs": [
349 {
360 {
350 "name": "stdout",
361 "name": "stdout",
351 "output_type": "stream",
362 "output_type": "stream",
352 "text": [
363 "text": [
353 "Hello world\n"
364 "Hello world\n"
354 ]
365 ]
355 }
366 }
356 ],
367 ],
357 "source": [
368 "source": [
358 "%run foo"
369 "%run foo"
359 ]
370 ]
360 },
371 },
361 {
372 {
362 "cell_type": "markdown",
373 "cell_type": "markdown",
363 "metadata": {},
374 "metadata": {},
364 "source": [
375 "source": [
365 "## <!--====--> Magics for running code under other interpreters"
376 "## <!--====--> Magics for running code under other interpreters"
366 ]
377 ]
367 },
378 },
368 {
379 {
369 "cell_type": "markdown",
380 "cell_type": "markdown",
370 "metadata": {},
381 "metadata": {},
371 "source": [
382 "source": [
372 "IPython has a `%%script` cell magic, which lets you run a cell in\n",
383 "IPython has a `%%script` cell magic, which lets you run a cell in\n",
373 "a subprocess of any interpreter on your system, such as: bash, ruby, perl, zsh, R, etc.\n",
384 "a subprocess of any interpreter on your system, such as: bash, ruby, perl, zsh, R, etc.\n",
374 "\n",
385 "\n",
375 "It can even be a script of your own, which expects input on stdin."
386 "It can even be a script of your own, which expects input on stdin."
376 ]
387 ]
377 },
388 },
378 {
389 {
379 "cell_type": "markdown",
390 "cell_type": "markdown",
380 "metadata": {},
391 "metadata": {},
381 "source": [
392 "source": [
382 "To use it, simply pass a path or shell command to the program you want to run on the `%%script` line,\n",
393 "To use it, simply pass a path or shell command to the program you want to run on the `%%script` line,\n",
383 "and the rest of the cell will be run by that script, and stdout/err from the subprocess are captured and displayed."
394 "and the rest of the cell will be run by that script, and stdout/err from the subprocess are captured and displayed."
384 ]
395 ]
385 },
396 },
386 {
397 {
387 "cell_type": "code",
398 "cell_type": "code",
388 "execution_count": 10,
399 "execution_count": 10,
389 "metadata": {
400 "metadata": {
390 "collapsed": false
401 "collapsed": false
391 },
402 },
392 "outputs": [
403 "outputs": [
393 {
404 {
394 "name": "stdout",
405 "name": "stdout",
395 "output_type": "stream",
406 "output_type": "stream",
396 "text": [
407 "text": [
397 "hello from Python 2.7.2 (default, Oct 11 2012, 20:14:37) \n",
408 "hello from Python 2.7.9 (default, Jan 29 2015, 06:27:40) \n",
398 "[GCC 4.2.1 Compatible Apple Clang 4.0 (tags/Apple/clang-418.0.60)]\n"
409 "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.56)]\n"
399 ]
410 ]
400 }
411 }
401 ],
412 ],
402 "source": [
413 "source": [
403 "%%script python\n",
414 "%%script python2\n",
404 "import sys\n",
415 "import sys\n",
405 "print 'hello from Python %s' % sys.version"
416 "print 'hello from Python %s' % sys.version"
406 ]
417 ]
407 },
418 },
408 {
419 {
409 "cell_type": "code",
420 "cell_type": "code",
410 "execution_count": 11,
421 "execution_count": 11,
411 "metadata": {
422 "metadata": {
412 "collapsed": false
423 "collapsed": false
413 },
424 },
414 "outputs": [
425 "outputs": [
415 {
426 {
416 "name": "stdout",
427 "name": "stdout",
417 "output_type": "stream",
428 "output_type": "stream",
418 "text": [
429 "text": [
419 "hello from Python: 3.3.1 (v3.3.1:d9893d13c628, Apr 6 2013, 11:07:11) \n",
430 "hello from Python: 3.4.2 |Continuum Analytics, Inc.| (default, Oct 21 2014, 17:42:20) \n",
420 "[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]\n"
431 "[GCC 4.2.1 (Apple Inc. build 5577)]\n"
421 ]
432 ]
422 }
433 }
423 ],
434 ],
424 "source": [
435 "source": [
425 "%%script python3\n",
436 "%%script python3\n",
426 "import sys\n",
437 "import sys\n",
427 "print('hello from Python: %s' % sys.version)"
438 "print('hello from Python: %s' % sys.version)"
428 ]
439 ]
429 },
440 },
430 {
441 {
431 "cell_type": "markdown",
442 "cell_type": "markdown",
432 "metadata": {},
443 "metadata": {},
433 "source": [
444 "source": [
434 "IPython also creates aliases for a few common interpreters, such as bash, ruby, perl, etc.\n",
445 "IPython also creates aliases for a few common interpreters, such as bash, ruby, perl, etc.\n",
435 "\n",
446 "\n",
436 "These are all equivalent to `%%script <name>`"
447 "These are all equivalent to `%%script <name>`"
437 ]
448 ]
438 },
449 },
439 {
450 {
440 "cell_type": "code",
451 "cell_type": "code",
441 "execution_count": 12,
452 "execution_count": 12,
442 "metadata": {
453 "metadata": {
443 "collapsed": false
454 "collapsed": false
444 },
455 },
445 "outputs": [
456 "outputs": [
446 {
457 {
447 "name": "stdout",
458 "name": "stdout",
448 "output_type": "stream",
459 "output_type": "stream",
449 "text": [
460 "text": [
450 "Hello from Ruby 1.9.3\n"
461 "Hello from Ruby 2.0.0\n"
451 ]
462 ]
452 }
463 }
453 ],
464 ],
454 "source": [
465 "source": [
455 "%%ruby\n",
466 "%%ruby\n",
456 "puts \"Hello from Ruby #{RUBY_VERSION}\""
467 "puts \"Hello from Ruby #{RUBY_VERSION}\""
457 ]
468 ]
458 },
469 },
459 {
470 {
460 "cell_type": "code",
471 "cell_type": "code",
461 "execution_count": 13,
472 "execution_count": 13,
462 "metadata": {
473 "metadata": {
463 "collapsed": false
474 "collapsed": false
464 },
475 },
465 "outputs": [
476 "outputs": [
466 {
477 {
467 "name": "stdout",
478 "name": "stdout",
468 "output_type": "stream",
479 "output_type": "stream",
469 "text": [
480 "text": [
470 "hello from /usr/local/bin/bash\n"
481 "hello from /usr/local/bin/bash\n"
471 ]
482 ]
472 }
483 }
473 ],
484 ],
474 "source": [
485 "source": [
475 "%%bash\n",
486 "%%bash\n",
476 "echo \"hello from $BASH\""
487 "echo \"hello from $BASH\""
477 ]
488 ]
478 },
489 },
479 {
490 {
480 "cell_type": "markdown",
491 "cell_type": "markdown",
481 "metadata": {},
492 "metadata": {},
482 "source": [
493 "source": [
483 "## Exercise: write your own script that numbers input lines"
484 ]
485 },
486 {
487 "cell_type": "markdown",
488 "metadata": {},
489 "source": [
490 "Write a file, called `lnum.py`, such that the following cell works as shown (hint: don't forget about the executable bit!): "
491 ]
492 },
493 {
494 "cell_type": "code",
495 "execution_count": 29,
496 "metadata": {
497 "collapsed": false
498 },
499 "outputs": [
500 {
501 "name": "stdout",
502 "output_type": "stream",
503 "text": [
504 "0: my first line\n",
505 "1: my second\n",
506 "2: more\n",
507 "---- END ----\n"
508 ]
509 }
510 ],
511 "source": [
512 "%%script ./lnum.py\n",
513 "my first line\n",
514 "my second\n",
515 "more"
516 ]
517 },
518 {
519 "cell_type": "markdown",
520 "metadata": {},
521 "source": [
522 "## Capturing output"
494 "## Capturing output"
523 ]
495 ]
524 },
496 },
525 {
497 {
526 "cell_type": "markdown",
498 "cell_type": "markdown",
527 "metadata": {},
499 "metadata": {},
528 "source": [
500 "source": [
529 "You can also capture stdout/err from these subprocesses into Python variables, instead of letting them go directly to stdout/err"
501 "You can also capture stdout/err from these subprocesses into Python variables, instead of letting them go directly to stdout/err"
530 ]
502 ]
531 },
503 },
532 {
504 {
533 "cell_type": "code",
505 "cell_type": "code",
534 "execution_count": 30,
506 "execution_count": 14,
535 "metadata": {
507 "metadata": {
536 "collapsed": false
508 "collapsed": false
537 },
509 },
538 "outputs": [
510 "outputs": [
539 {
511 {
540 "name": "stdout",
512 "name": "stdout",
541 "output_type": "stream",
513 "output_type": "stream",
542 "text": [
514 "text": [
543 "hi, stdout\n"
515 "hi, stdout\n"
544 ]
516 ]
545 },
517 },
546 {
518 {
547 "name": "stderr",
519 "name": "stderr",
548 "output_type": "stream",
520 "output_type": "stream",
549 "text": [
521 "text": [
550 "hello, stderr\n"
522 "hello, stderr\n"
551 ]
523 ]
552 }
524 }
553 ],
525 ],
554 "source": [
526 "source": [
555 "%%bash\n",
527 "%%bash\n",
556 "echo \"hi, stdout\"\n",
528 "echo \"hi, stdout\"\n",
557 "echo \"hello, stderr\" >&2\n"
529 "echo \"hello, stderr\" >&2\n"
558 ]
530 ]
559 },
531 },
560 {
532 {
561 "cell_type": "code",
533 "cell_type": "code",
562 "execution_count": 31,
534 "execution_count": 15,
563 "metadata": {
535 "metadata": {
564 "collapsed": false
536 "collapsed": false
565 },
537 },
566 "outputs": [],
538 "outputs": [],
567 "source": [
539 "source": [
568 "%%bash --out output --err error\n",
540 "%%bash --out output --err error\n",
569 "echo \"hi, stdout\"\n",
541 "echo \"hi, stdout\"\n",
570 "echo \"hello, stderr\" >&2"
542 "echo \"hello, stderr\" >&2"
571 ]
543 ]
572 },
544 },
573 {
545 {
574 "cell_type": "code",
546 "cell_type": "code",
575 "execution_count": 32,
547 "execution_count": 16,
576 "metadata": {
548 "metadata": {
577 "collapsed": false
549 "collapsed": false
578 },
550 },
579 "outputs": [
551 "outputs": [
580 {
552 {
581 "name": "stdout",
553 "name": "stdout",
582 "output_type": "stream",
554 "output_type": "stream",
583 "text": [
555 "text": [
584 "hello, stderr\n",
556 "hello, stderr\n",
585 "\n",
557 "\n",
586 "hi, stdout\n",
558 "hi, stdout\n",
587 "\n"
559 "\n"
588 ]
560 ]
589 }
561 }
590 ],
562 ],
591 "source": [
563 "source": [
592 "print(error)\n",
564 "print(error)\n",
593 "print(output)"
565 "print(output)"
594 ]
566 ]
595 },
567 },
596 {
568 {
597 "cell_type": "markdown",
569 "cell_type": "markdown",
598 "metadata": {},
570 "metadata": {},
599 "source": [
571 "source": [
600 "## Background Scripts"
572 "## Background Scripts"
601 ]
573 ]
602 },
574 },
603 {
575 {
604 "cell_type": "markdown",
576 "cell_type": "markdown",
605 "metadata": {},
577 "metadata": {},
606 "source": [
578 "source": [
607 "These scripts can be run in the background, by adding the `--bg` flag.\n",
579 "These scripts can be run in the background, by adding the `--bg` flag.\n",
608 "\n",
580 "\n",
609 "When you do this, output is discarded unless you use the `--out/err`\n",
581 "When you do this, output is discarded unless you use the `--out/err`\n",
610 "flags to store output as above."
582 "flags to store output as above."
611 ]
583 ]
612 },
584 },
613 {
585 {
614 "cell_type": "code",
586 "cell_type": "code",
615 "execution_count": 33,
587 "execution_count": 17,
616 "metadata": {
588 "metadata": {
617 "collapsed": false
589 "collapsed": false
618 },
590 },
619 "outputs": [
591 "outputs": [
620 {
592 {
621 "name": "stdout",
593 "name": "stdout",
622 "output_type": "stream",
594 "output_type": "stream",
623 "text": [
595 "text": [
624 "Starting job # 0 in a separate thread.\n"
596 "Starting job # 0 in a separate thread.\n"
625 ]
597 ]
626 }
598 }
627 ],
599 ],
628 "source": [
600 "source": [
629 "%%ruby --bg --out ruby_lines\n",
601 "%%ruby --bg --out ruby_lines\n",
630 "for n in 1...10\n",
602 "for n in 1...10\n",
631 " sleep 1\n",
603 " sleep 1\n",
632 " puts \"line #{n}\"\n",
604 " puts \"line #{n}\"\n",
633 " STDOUT.flush\n",
605 " STDOUT.flush\n",
634 "end"
606 "end"
635 ]
607 ]
636 },
608 },
637 {
609 {
638 "cell_type": "markdown",
610 "cell_type": "markdown",
639 "metadata": {},
611 "metadata": {},
640 "source": [
612 "source": [
641 "When you do store output of a background thread, these are the stdout/err *pipes*,\n",
613 "When you do store output of a background thread, these are the stdout/err *pipes*,\n",
642 "rather than the text of the output."
614 "rather than the text of the output."
643 ]
615 ]
644 },
616 },
645 {
617 {
646 "cell_type": "code",
618 "cell_type": "code",
647 "execution_count": 34,
619 "execution_count": 18,
648 "metadata": {
620 "metadata": {
649 "collapsed": false
621 "collapsed": false
650 },
622 },
651 "outputs": [
623 "outputs": [
652 {
624 {
653 "data": {
625 "data": {
654 "text/plain": [
626 "text/plain": [
655 "<open file '<fdopen>', mode 'rb' at 0x112cd55d0>"
627 "<_io.BufferedReader name=52>"
656 ]
628 ]
657 },
629 },
658 "execution_count": 34,
630 "execution_count": 18,
659 "metadata": {},
631 "metadata": {},
660 "output_type": "execute_result"
632 "output_type": "execute_result"
661 }
633 }
662 ],
634 ],
663 "source": [
635 "source": [
664 "ruby_lines"
636 "ruby_lines"
665 ]
637 ]
666 },
638 },
667 {
639 {
668 "cell_type": "code",
640 "cell_type": "code",
669 "execution_count": 35,
641 "execution_count": 19,
670 "metadata": {
642 "metadata": {
671 "collapsed": false
643 "collapsed": false
672 },
644 },
673 "outputs": [
645 "outputs": [
674 {
646 {
675 "name": "stdout",
647 "name": "stdout",
676 "output_type": "stream",
648 "output_type": "stream",
677 "text": [
649 "text": [
678 "line 1\n",
650 "line 1\n",
679 "line 2\n",
651 "line 2\n",
680 "line 3\n",
652 "line 3\n",
681 "line 4\n",
653 "line 4\n",
682 "line 5\n",
654 "line 5\n",
683 "line 6\n",
655 "line 6\n",
684 "line 7\n",
656 "line 7\n",
685 "line 8\n",
657 "line 8\n",
686 "line 9\n",
658 "line 9\n",
687 "\n"
659 "\n"
688 ]
660 ]
689 }
661 }
690 ],
662 ],
691 "source": [
663 "source": [
692 "print(ruby_lines.read())"
664 "print(ruby_lines.read().decode('utf8'))"
693 ]
665 ]
694 }
666 }
695 ],
667 ],
696 "metadata": {
668 "metadata": {
697 "kernelspec": {
669 "kernelspec": {
698 "display_name": "Python 3",
670 "display_name": "Python 3",
699 "language": "python",
671 "language": "python",
700 "name": "python3"
672 "name": "python3"
701 },
673 },
702 "language_info": {
674 "language_info": {
703 "codemirror_mode": {
675 "codemirror_mode": {
704 "name": "ipython",
676 "name": "ipython",
705 "version": 3
677 "version": 3
706 },
678 },
707 "file_extension": ".py",
679 "file_extension": ".py",
708 "mimetype": "text/x-python",
680 "mimetype": "text/x-python",
709 "name": "python",
681 "name": "python",
710 "nbconvert_exporter": "python",
682 "nbconvert_exporter": "python",
711 "pygments_lexer": "ipython3",
683 "pygments_lexer": "ipython3",
712 "version": "3.4.2"
684 "version": "3.4.2"
713 }
685 }
714 },
686 },
715 "nbformat": 4,
687 "nbformat": 4,
716 "nbformat_minor": 0
688 "nbformat_minor": 0
717 }
689 }
This diff has been collapsed as it changes many lines, (1321 lines changed) Show them Hide them
@@ -1,1341 +1,1556 b''
1 {
1 {
2 "cells": [
2 "cells": [
3 {
3 {
4 "cell_type": "markdown",
4 "cell_type": "markdown",
5 "metadata": {},
5 "metadata": {},
6 "source": [
6 "source": [
7 "# Custom Display Logic"
7 "# Custom Display Logic"
8 ]
8 ]
9 },
9 },
10 {
10 {
11 "cell_type": "markdown",
11 "cell_type": "markdown",
12 "metadata": {},
12 "metadata": {},
13 "source": [
13 "source": [
14 "## Overview"
14 "## Overview"
15 ]
15 ]
16 },
16 },
17 {
17 {
18 "cell_type": "markdown",
18 "cell_type": "markdown",
19 "metadata": {},
19 "metadata": {},
20 "source": [
20 "source": [
21 "As described in the [Rich Output](Rich Output.ipynb) tutorial, the IPython display system can display rich representations of objects in the following formats:\n",
21 "As described in the [Rich Output](Rich Output.ipynb) tutorial, the IPython display system can display rich representations of objects in the following formats:\n",
22 "\n",
22 "\n",
23 "* JavaScript\n",
23 "* JavaScript\n",
24 "* HTML\n",
24 "* HTML\n",
25 "* PNG\n",
25 "* PNG\n",
26 "* JPEG\n",
26 "* JPEG\n",
27 "* SVG\n",
27 "* SVG\n",
28 "* LaTeX\n",
28 "* LaTeX\n",
29 "* PDF\n",
29 "* PDF\n",
30 "\n",
30 "\n",
31 "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
31 "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
32 "\n",
32 "\n",
33 "1. Implementing special display methods such as `_repr_html_` when you define your class.\n",
33 "1. Implementing special display methods such as `_repr_html_` when you define your class.\n",
34 "2. Registering a display function for a particular existing class.\n",
34 "2. Registering a display function for a particular existing class.\n",
35 "\n",
35 "\n",
36 "This Notebook describes and illustrates both approaches."
36 "This Notebook describes and illustrates both approaches."
37 ]
37 ]
38 },
38 },
39 {
39 {
40 "cell_type": "markdown",
40 "cell_type": "markdown",
41 "metadata": {},
41 "metadata": {},
42 "source": [
42 "source": [
43 "Import the IPython display functions."
43 "Import the IPython display functions."
44 ]
44 ]
45 },
45 },
46 {
46 {
47 "cell_type": "code",
47 "cell_type": "code",
48 "execution_count": 1,
48 "execution_count": 1,
49 "metadata": {
49 "metadata": {
50 "collapsed": false
50 "collapsed": false
51 },
51 },
52 "outputs": [],
52 "outputs": [],
53 "source": [
53 "source": [
54 "from IPython.display import (\n",
54 "from IPython.display import (\n",
55 " display, display_html, display_png, display_svg\n",
55 " display, display_html, display_png, display_svg\n",
56 ")"
56 ")"
57 ]
57 ]
58 },
58 },
59 {
59 {
60 "cell_type": "markdown",
60 "cell_type": "markdown",
61 "metadata": {},
61 "metadata": {},
62 "source": [
62 "source": [
63 "Parts of this notebook need the matplotlib inline backend:"
63 "Parts of this notebook need the matplotlib inline backend:"
64 ]
64 ]
65 },
65 },
66 {
66 {
67 "cell_type": "code",
67 "cell_type": "code",
68 "execution_count": 2,
68 "execution_count": 2,
69 "metadata": {
69 "metadata": {
70 "collapsed": false
70 "collapsed": false
71 },
71 },
72 "outputs": [],
72 "outputs": [],
73 "source": [
73 "source": [
74 "%matplotlib inline\n",
74 "%matplotlib inline\n",
75 "import numpy as np\n",
75 "import numpy as np\n",
76 "import matplotlib.pyplot as plt"
76 "import matplotlib.pyplot as plt"
77 ]
77 ]
78 },
78 },
79 {
79 {
80 "cell_type": "markdown",
80 "cell_type": "markdown",
81 "metadata": {},
81 "metadata": {},
82 "source": [
82 "source": [
83 "## Special display methods"
83 "## Special display methods"
84 ]
84 ]
85 },
85 },
86 {
86 {
87 "cell_type": "markdown",
87 "cell_type": "markdown",
88 "metadata": {},
88 "metadata": {},
89 "source": [
89 "source": [
90 "The main idea of the first approach is that you have to implement special display methods when you define your class, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
90 "The main idea of the first approach is that you have to implement special display methods when you define your class, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
91 "\n",
91 "\n",
92 "* `_repr_html_`: return raw HTML as a string\n",
92 "* `_repr_html_`: return raw HTML as a string\n",
93 "* `_repr_json_`: return raw JSON as a string\n",
93 "* `_repr_json_`: return a JSONable dict\n",
94 "* `_repr_jpeg_`: return raw JPEG data\n",
94 "* `_repr_jpeg_`: return raw JPEG data\n",
95 "* `_repr_png_`: return raw PNG data\n",
95 "* `_repr_png_`: return raw PNG data\n",
96 "* `_repr_svg_`: return raw SVG data as a string\n",
96 "* `_repr_svg_`: return raw SVG data as a string\n",
97 "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
97 "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
98 ]
98 ]
99 },
99 },
100 {
100 {
101 "cell_type": "markdown",
101 "cell_type": "markdown",
102 "metadata": {},
102 "metadata": {},
103 "source": [
103 "source": [
104 "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and standard deviation. Here is the definition of the `Gaussian` class, which has a custom PNG and LaTeX representation."
104 "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and standard deviation. Here is the definition of the `Gaussian` class, which has a custom PNG and LaTeX representation."
105 ]
105 ]
106 },
106 },
107 {
107 {
108 "cell_type": "code",
108 "cell_type": "code",
109 "execution_count": 3,
109 "execution_count": 3,
110 "metadata": {
110 "metadata": {
111 "collapsed": false
111 "collapsed": false
112 },
112 },
113 "outputs": [],
113 "outputs": [],
114 "source": [
114 "source": [
115 "from IPython.core.pylabtools import print_figure\n",
115 "from IPython.core.pylabtools import print_figure\n",
116 "from IPython.display import Image, SVG, Math\n",
116 "from IPython.display import Image, SVG, Math\n",
117 "\n",
117 "\n",
118 "class Gaussian(object):\n",
118 "class Gaussian(object):\n",
119 " \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
119 " \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
120 " \"\"\"\n",
120 " \"\"\"\n",
121 " def __init__(self, mean=0.0, std=1, size=1000):\n",
121 " def __init__(self, mean=0.0, std=1, size=1000):\n",
122 " self.data = np.random.normal(mean, std, size)\n",
122 " self.data = np.random.normal(mean, std, size)\n",
123 " self.mean = mean\n",
123 " self.mean = mean\n",
124 " self.std = std\n",
124 " self.std = std\n",
125 " self.size = size\n",
125 " self.size = size\n",
126 " # For caching plots that may be expensive to compute\n",
126 " # For caching plots that may be expensive to compute\n",
127 " self._png_data = None\n",
127 " self._png_data = None\n",
128 " \n",
128 " \n",
129 " def _figure_data(self, format):\n",
129 " def _figure_data(self, format):\n",
130 " fig, ax = plt.subplots()\n",
130 " fig, ax = plt.subplots()\n",
131 " ax.hist(self.data, bins=50)\n",
131 " ax.hist(self.data, bins=50)\n",
132 " ax.set_title(self._repr_latex_())\n",
132 " ax.set_title(self._repr_latex_())\n",
133 " ax.set_xlim(-10.0,10.0)\n",
133 " ax.set_xlim(-10.0,10.0)\n",
134 " data = print_figure(fig, format)\n",
134 " data = print_figure(fig, format)\n",
135 " # We MUST close the figure, otherwise IPython's display machinery\n",
135 " # We MUST close the figure, otherwise IPython's display machinery\n",
136 " # will pick it up and send it as output, resulting in a double display\n",
136 " # will pick it up and send it as output, resulting in a double display\n",
137 " plt.close(fig)\n",
137 " plt.close(fig)\n",
138 " return data\n",
138 " return data\n",
139 " \n",
139 " \n",
140 " def _repr_png_(self):\n",
140 " def _repr_png_(self):\n",
141 " if self._png_data is None:\n",
141 " if self._png_data is None:\n",
142 " self._png_data = self._figure_data('png')\n",
142 " self._png_data = self._figure_data('png')\n",
143 " return self._png_data\n",
143 " return self._png_data\n",
144 " \n",
144 " \n",
145 " def _repr_latex_(self):\n",
145 " def _repr_latex_(self):\n",
146 " return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
146 " return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
147 " self.std, self.size)"
147 " self.std, self.size)"
148 ]
148 ]
149 },
149 },
150 {
150 {
151 "cell_type": "markdown",
151 "cell_type": "markdown",
152 "metadata": {},
152 "metadata": {},
153 "source": [
153 "source": [
154 "Create an instance of the Gaussian distribution and return it to display the default representation:"
154 "Create an instance of the Gaussian distribution and return it to display the default representation:"
155 ]
155 ]
156 },
156 },
157 {
157 {
158 "cell_type": "code",
158 "cell_type": "code",
159 "execution_count": 4,
159 "execution_count": 4,
160 "metadata": {
160 "metadata": {
161 "collapsed": false
161 "collapsed": false
162 },
162 },
163 "outputs": [
163 "outputs": [
164 {
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251 ],
289 ],
252 "text/latex": [
290 "text/latex": [
253 "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
291 "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
254 ],
292 ],
255 "text/plain": [
293 "text/plain": [
256 "<__main__.Gaussian at 0x106e7ae10>"
294 "<__main__.Gaussian at 0x10665a4e0>"
257 ]
295 ]
258 },
296 },
259 "execution_count": 4,
297 "execution_count": 4,
260 "metadata": {},
298 "metadata": {},
261 "output_type": "execute_result"
299 "output_type": "execute_result"
262 }
300 }
263 ],
301 ],
264 "source": [
302 "source": [
265 "x = Gaussian(2.0, 1.0)\n",
303 "x = Gaussian(2.0, 1.0)\n",
266 "x"
304 "x"
267 ]
305 ]
268 },
306 },
269 {
307 {
270 "cell_type": "markdown",
308 "cell_type": "markdown",
271 "metadata": {},
309 "metadata": {},
272 "source": [
310 "source": [
273 "You can also pass the object to the `display` function to display the default representation:"
311 "You can also pass the object to the `display` function to display the default representation:"
274 ]
312 ]
275 },
313 },
276 {
314 {
277 "cell_type": "code",
315 "cell_type": "code",
278 "execution_count": 5,
316 "execution_count": 5,
279 "metadata": {
317 "metadata": {
280 "collapsed": false
318 "collapsed": false
281 },
319 },
282 "outputs": [
320 "outputs": [
283 {
321 {
284 "data": {
322 "data": {
285 "image/png": [
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441 "LFn6f+Svx+3teXKogidprT0+/vquWuv2E53PGe1AnhyatufJoeqTnIrVeUtbv9yd5NVJUmv9lCSv\n",
442 "TGJCKE9Sa31trfUzxs2vS3LvLOth7ixtObU0IfS4W05BktRad9Zarxh///z8Q/iGT9JaO5xka631\n",
443 "gvGhq5LcudI1pyJEDUnSWnsgyR/VWv9XknuS/FRrzfbvLPd/kry51vr2JI+21vbMuB7miC2nWKP7\n",
444 "klxVa92T5Pokr5ttOcyxpfnb1ya5ffw36Hmttd9e6SLbvgAAdPCwTQCADkIUAEAHIQoAoIMQBQDQ\n",
445 "QYgCAOggRAEAdBCiAAA6CFEAAB2EKACADv8fn0xUCxJB1sMAAAAASUVORK5CYII=\n"
370 ],
446 ],
371 "text/latex": [
447 "text/latex": [
372 "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
448 "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
373 ],
449 ],
374 "text/plain": [
450 "text/plain": [
375 "<__main__.Gaussian at 0x106e7ae10>"
451 "<__main__.Gaussian at 0x10665a4e0>"
376 ]
452 ]
377 },
453 },
378 "metadata": {},
454 "metadata": {},
379 "output_type": "display_data"
455 "output_type": "display_data"
380 }
456 }
381 ],
457 ],
382 "source": [
458 "source": [
383 "display(x)"
459 "display(x)"
384 ]
460 ]
385 },
461 },
386 {
462 {
387 "cell_type": "markdown",
463 "cell_type": "markdown",
388 "metadata": {},
464 "metadata": {},
389 "source": [
465 "source": [
390 "Use `display_png` to view the PNG representation:"
466 "Use `display_png` to view the PNG representation:"
391 ]
467 ]
392 },
468 },
393 {
469 {
394 "cell_type": "code",
470 "cell_type": "code",
395 "execution_count": 6,
471 "execution_count": 6,
396 "metadata": {
472 "metadata": {
397 "collapsed": false
473 "collapsed": false
398 },
474 },
399 "outputs": [
475 "outputs": [
400 {
476 {
401 "data": {
477 "data": {
402 "image/png": [
478 "image/png": [
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487 ]
601 ]
488 },
602 },
489 "metadata": {},
603 "metadata": {},
490 "output_type": "display_data"
604 "output_type": "display_data"
491 }
605 }
492 ],
606 ],
493 "source": [
607 "source": [
494 "display_png(x)"
608 "display_png(x)"
495 ]
609 ]
496 },
610 },
497 {
611 {
498 "cell_type": "markdown",
612 "cell_type": "markdown",
499 "metadata": {},
613 "metadata": {},
500 "source": [
614 "source": [
501 "<div class=\"alert alert-success\">\n",
615 "<div class=\"alert alert-success\">\n",
502 "It is important to note a subtle different between <code>display</code> and <code>display_png</code>. The former computes <em>all</em> representations of the object, and lets the notebook UI decide which to display. The later only computes the PNG representation.\n",
616 "It is important to note a subtle different between <code>display</code> and <code>display_png</code>. The former computes <em>all</em> representations of the object, and lets the notebook UI decide which to display. The later only computes the PNG representation.\n",
503 "</div>"
617 "</div>"
504 ]
618 ]
505 },
619 },
506 {
620 {
507 "cell_type": "markdown",
621 "cell_type": "markdown",
508 "metadata": {},
622 "metadata": {},
509 "source": [
623 "source": [
510 "Create a new Gaussian with different parameters:"
624 "Create a new Gaussian with different parameters:"
511 ]
625 ]
512 },
626 },
513 {
627 {
514 "cell_type": "code",
628 "cell_type": "code",
515 "execution_count": 7,
629 "execution_count": 7,
516 "metadata": {
630 "metadata": {
517 "collapsed": false
631 "collapsed": false
518 },
632 },
519 "outputs": [
633 "outputs": [
520 {
634 {
521 "data": {
635 "data": {
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613 ],
763 ],
614 "text/latex": [
764 "text/latex": [
615 "$\\mathcal{N}(\\mu=0, \\sigma=2),\\ N=2000$"
765 "$\\mathcal{N}(\\mu=0, \\sigma=2),\\ N=2000$"
616 ],
766 ],
617 "text/plain": [
767 "text/plain": [
618 "<__main__.Gaussian at 0x106e9ce90>"
768 "<__main__.Gaussian at 0x106ab8c18>"
619 ]
769 ]
620 },
770 },
621 "execution_count": 7,
771 "execution_count": 7,
622 "metadata": {},
772 "metadata": {},
623 "output_type": "execute_result"
773 "output_type": "execute_result"
624 }
774 }
625 ],
775 ],
626 "source": [
776 "source": [
627 "x2 = Gaussian(0, 2, 2000)\n",
777 "x2 = Gaussian(0, 2, 2000)\n",
628 "x2"
778 "x2"
629 ]
779 ]
630 },
780 },
631 {
781 {
632 "cell_type": "markdown",
782 "cell_type": "markdown",
633 "metadata": {},
783 "metadata": {},
634 "source": [
784 "source": [
635 "You can then compare the two Gaussians by displaying their histograms:"
785 "You can then compare the two Gaussians by displaying their histograms:"
636 ]
786 ]
637 },
787 },
638 {
788 {
639 "cell_type": "code",
789 "cell_type": "code",
640 "execution_count": 8,
790 "execution_count": 8,
641 "metadata": {
791 "metadata": {
642 "collapsed": false
792 "collapsed": false
643 },
793 },
644 "outputs": [
794 "outputs": [
645 {
795 {
646 "data": {
796 "data": {
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830 ]
1054 ]
831 },
1055 },
832 "metadata": {},
1056 "metadata": {},
833 "output_type": "display_data"
1057 "output_type": "display_data"
834 }
1058 }
835 ],
1059 ],
836 "source": [
1060 "source": [
837 "display_png(x)\n",
1061 "display_png(x)\n",
838 "display_png(x2)"
1062 "display_png(x2)"
839 ]
1063 ]
840 },
1064 },
841 {
1065 {
842 "cell_type": "markdown",
1066 "cell_type": "markdown",
843 "metadata": {},
1067 "metadata": {},
844 "source": [
1068 "source": [
845 "Note that like `print`, you can call any of the `display` functions multiple times in a cell."
1069 "Note that like `print`, you can call any of the `display` functions multiple times in a cell."
846 ]
1070 ]
847 },
1071 },
848 {
1072 {
849 "cell_type": "markdown",
1073 "cell_type": "markdown",
850 "metadata": {},
1074 "metadata": {},
851 "source": [
1075 "source": [
852 "## Adding IPython display support to existing objects"
1076 "## Adding IPython display support to existing objects"
853 ]
1077 ]
854 },
1078 },
855 {
1079 {
856 "cell_type": "markdown",
1080 "cell_type": "markdown",
857 "metadata": {},
1081 "metadata": {},
858 "source": [
1082 "source": [
859 "When you are directly writing your own classes, you can adapt them for display in IPython by following the above approach. But in practice, you often need to work with existing classes that you can't easily modify. We now illustrate how to add rich output capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression."
1083 "When you are directly writing your own classes, you can adapt them for display in IPython by following the above approach. But in practice, you often need to work with existing classes that you can't easily modify. We now illustrate how to add rich output capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression."
860 ]
1084 ]
861 },
1085 },
862 {
1086 {
863 "cell_type": "markdown",
1087 "cell_type": "markdown",
864 "metadata": {},
1088 "metadata": {},
865 "source": [
1089 "source": [
866 "First, consider how a NumPy polynomial object renders by default:"
1090 "First, consider how a NumPy polynomial object renders by default:"
867 ]
1091 ]
868 },
1092 },
869 {
1093 {
870 "cell_type": "code",
1094 "cell_type": "code",
871 "execution_count": 9,
1095 "execution_count": 9,
872 "metadata": {
1096 "metadata": {
873 "collapsed": false
1097 "collapsed": false
874 },
1098 },
875 "outputs": [
1099 "outputs": [
876 {
1100 {
877 "data": {
1101 "data": {
878 "text/plain": [
1102 "text/plain": [
879 "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
1103 "Polynomial([ 1., 2., 3.], [-10., 10.], [-1, 1])"
880 ]
1104 ]
881 },
1105 },
882 "execution_count": 9,
1106 "execution_count": 9,
883 "metadata": {},
1107 "metadata": {},
884 "output_type": "execute_result"
1108 "output_type": "execute_result"
885 }
1109 }
886 ],
1110 ],
887 "source": [
1111 "source": [
888 "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n",
1112 "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n",
889 "p"
1113 "p"
890 ]
1114 ]
891 },
1115 },
892 {
1116 {
893 "cell_type": "markdown",
1117 "cell_type": "markdown",
894 "metadata": {},
1118 "metadata": {},
895 "source": [
1119 "source": [
896 "Next, define a function that pretty-prints a polynomial as a LaTeX string:"
1120 "Next, define a function that pretty-prints a polynomial as a LaTeX string:"
897 ]
1121 ]
898 },
1122 },
899 {
1123 {
900 "cell_type": "code",
1124 "cell_type": "code",
901 "execution_count": 10,
1125 "execution_count": 10,
902 "metadata": {
1126 "metadata": {
903 "collapsed": false
1127 "collapsed": false
904 },
1128 },
905 "outputs": [],
1129 "outputs": [],
906 "source": [
1130 "source": [
907 "def poly_to_latex(p):\n",
1131 "def poly_to_latex(p):\n",
908 " terms = ['%.2g' % p.coef[0]]\n",
1132 " terms = ['%.2g' % p.coef[0]]\n",
909 " if len(p) > 1:\n",
1133 " if len(p) > 1:\n",
910 " term = 'x'\n",
1134 " term = 'x'\n",
911 " c = p.coef[1]\n",
1135 " c = p.coef[1]\n",
912 " if c!=1:\n",
1136 " if c!=1:\n",
913 " term = ('%.2g ' % c) + term\n",
1137 " term = ('%.2g ' % c) + term\n",
914 " terms.append(term)\n",
1138 " terms.append(term)\n",
915 " if len(p) > 2:\n",
1139 " if len(p) > 2:\n",
916 " for i in range(2, len(p)):\n",
1140 " for i in range(2, len(p)):\n",
917 " term = 'x^%d' % i\n",
1141 " term = 'x^%d' % i\n",
918 " c = p.coef[i]\n",
1142 " c = p.coef[i]\n",
919 " if c!=1:\n",
1143 " if c!=1:\n",
920 " term = ('%.2g ' % c) + term\n",
1144 " term = ('%.2g ' % c) + term\n",
921 " terms.append(term)\n",
1145 " terms.append(term)\n",
922 " px = '$P(x)=%s$' % '+'.join(terms)\n",
1146 " px = '$P(x)=%s$' % '+'.join(terms)\n",
923 " dom = r', $x \\in [%.2g,\\ %.2g]$' % tuple(p.domain)\n",
1147 " dom = r', $x \\in [%.2g,\\ %.2g]$' % tuple(p.domain)\n",
924 " return px+dom"
1148 " return px+dom"
925 ]
1149 ]
926 },
1150 },
927 {
1151 {
928 "cell_type": "markdown",
1152 "cell_type": "markdown",
929 "metadata": {},
1153 "metadata": {},
930 "source": [
1154 "source": [
931 "This produces, on our polynomial ``p``, the following:"
1155 "This produces, on our polynomial ``p``, the following:"
932 ]
1156 ]
933 },
1157 },
934 {
1158 {
935 "cell_type": "code",
1159 "cell_type": "code",
936 "execution_count": 11,
1160 "execution_count": 11,
937 "metadata": {
1161 "metadata": {
938 "collapsed": false
1162 "collapsed": false
939 },
1163 },
940 "outputs": [
1164 "outputs": [
941 {
1165 {
942 "data": {
1166 "data": {
943 "text/plain": [
1167 "text/plain": [
944 "'$P(x)=1+2 x+3 x^2$, $x \\\\in [-10,\\\\ 10]$'"
1168 "'$P(x)=1+2 x+3 x^2$, $x \\\\in [-10,\\\\ 10]$'"
945 ]
1169 ]
946 },
1170 },
947 "execution_count": 11,
1171 "execution_count": 11,
948 "metadata": {},
1172 "metadata": {},
949 "output_type": "execute_result"
1173 "output_type": "execute_result"
950 }
1174 }
951 ],
1175 ],
952 "source": [
1176 "source": [
953 "poly_to_latex(p)"
1177 "poly_to_latex(p)"
954 ]
1178 ]
955 },
1179 },
956 {
1180 {
957 "cell_type": "markdown",
1181 "cell_type": "markdown",
958 "metadata": {},
1182 "metadata": {},
959 "source": [
1183 "source": [
960 "You can render this string using the `Latex` class:"
1184 "You can render this string using the `Latex` class:"
961 ]
1185 ]
962 },
1186 },
963 {
1187 {
964 "cell_type": "code",
1188 "cell_type": "code",
965 "execution_count": 12,
1189 "execution_count": 12,
966 "metadata": {
1190 "metadata": {
967 "collapsed": false
1191 "collapsed": false
968 },
1192 },
969 "outputs": [
1193 "outputs": [
970 {
1194 {
971 "data": {
1195 "data": {
972 "text/latex": [
1196 "text/latex": [
973 "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
1197 "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
974 ],
1198 ],
975 "text/plain": [
1199 "text/plain": [
976 "<IPython.core.display.Latex object>"
1200 "<IPython.core.display.Latex object>"
977 ]
1201 ]
978 },
1202 },
979 "execution_count": 12,
1203 "execution_count": 12,
980 "metadata": {},
1204 "metadata": {},
981 "output_type": "execute_result"
1205 "output_type": "execute_result"
982 }
1206 }
983 ],
1207 ],
984 "source": [
1208 "source": [
985 "from IPython.display import Latex\n",
1209 "from IPython.display import Latex\n",
986 "Latex(poly_to_latex(p))"
1210 "Latex(poly_to_latex(p))"
987 ]
1211 ]
988 },
1212 },
989 {
1213 {
990 "cell_type": "markdown",
1214 "cell_type": "markdown",
991 "metadata": {},
1215 "metadata": {},
992 "source": [
1216 "source": [
993 "However, you can configure IPython to do this automatically by registering the `Polynomial` class and the `plot_to_latex` function with an IPython display formatter. Let's look at the default formatters provided by IPython:"
1217 "However, you can configure IPython to do this automatically by registering the `Polynomial` class and the `plot_to_latex` function with an IPython display formatter. Let's look at the default formatters provided by IPython:"
994 ]
1218 ]
995 },
1219 },
996 {
1220 {
997 "cell_type": "code",
1221 "cell_type": "code",
998 "execution_count": 13,
1222 "execution_count": 13,
999 "metadata": {
1223 "metadata": {
1000 "collapsed": false
1224 "collapsed": false
1001 },
1225 },
1002 "outputs": [
1226 "outputs": [
1003 {
1227 {
1004 "name": "stdout",
1228 "name": "stdout",
1005 "output_type": "stream",
1229 "output_type": "stream",
1006 "text": [
1230 "text": [
1007 " text/plain : PlainTextFormatter\n",
1008 " image/jpeg : JPEGFormatter\n",
1009 " text/html : HTMLFormatter\n",
1010 " image/svg+xml : SVGFormatter\n",
1011 " image/png : PNGFormatter\n",
1231 " image/png : PNGFormatter\n",
1012 " application/javascript : JavascriptFormatter\n",
1232 " application/pdf : PDFFormatter\n",
1233 " text/html : HTMLFormatter\n",
1234 " image/jpeg : JPEGFormatter\n",
1235 " text/plain : PlainTextFormatter\n",
1013 " text/markdown : MarkdownFormatter\n",
1236 " text/markdown : MarkdownFormatter\n",
1014 " text/latex : LatexFormatter\n",
1015 " application/json : JSONFormatter\n",
1237 " application/json : JSONFormatter\n",
1016 " application/pdf : PDFFormatter\n"
1238 " application/javascript : JavascriptFormatter\n",
1239 " text/latex : LatexFormatter\n",
1240 " image/svg+xml : SVGFormatter\n"
1017 ]
1241 ]
1018 }
1242 }
1019 ],
1243 ],
1020 "source": [
1244 "source": [
1021 "ip = get_ipython()\n",
1245 "ip = get_ipython()\n",
1022 "for mime, formatter in ip.display_formatter.formatters.items():\n",
1246 "for mime, formatter in ip.display_formatter.formatters.items():\n",
1023 " print '%24s : %s' % (mime, formatter.__class__.__name__)"
1247 " print('%24s : %s' % (mime, formatter.__class__.__name__))"
1024 ]
1248 ]
1025 },
1249 },
1026 {
1250 {
1027 "cell_type": "markdown",
1251 "cell_type": "markdown",
1028 "metadata": {},
1252 "metadata": {},
1029 "source": [
1253 "source": [
1030 "The `formatters` attribute is a dictionary keyed by MIME types. To define a custom LaTeX display function, you want a handle on the `text/latex` formatter:"
1254 "The `formatters` attribute is a dictionary keyed by MIME types. To define a custom LaTeX display function, you want a handle on the `text/latex` formatter:"
1031 ]
1255 ]
1032 },
1256 },
1033 {
1257 {
1034 "cell_type": "code",
1258 "cell_type": "code",
1035 "execution_count": 14,
1259 "execution_count": 14,
1036 "metadata": {
1260 "metadata": {
1037 "collapsed": false
1261 "collapsed": false
1038 },
1262 },
1039 "outputs": [],
1263 "outputs": [],
1040 "source": [
1264 "source": [
1041 "ip = get_ipython()\n",
1265 "ip = get_ipython()\n",
1042 "latex_f = ip.display_formatter.formatters['text/latex']"
1266 "latex_f = ip.display_formatter.formatters['text/latex']"
1043 ]
1267 ]
1044 },
1268 },
1045 {
1269 {
1046 "cell_type": "markdown",
1270 "cell_type": "markdown",
1047 "metadata": {},
1271 "metadata": {},
1048 "source": [
1272 "source": [
1049 "The formatter object has a couple of methods for registering custom display functions for existing types."
1273 "The formatter object has a couple of methods for registering custom display functions for existing types."
1050 ]
1274 ]
1051 },
1275 },
1052 {
1276 {
1053 "cell_type": "code",
1277 "cell_type": "code",
1054 "execution_count": 15,
1278 "execution_count": 15,
1055 "metadata": {
1279 "metadata": {
1056 "collapsed": false
1280 "collapsed": false
1057 },
1281 },
1058 "outputs": [
1282 "outputs": [
1059 {
1283 {
1060 "name": "stdout",
1284 "name": "stdout",
1061 "output_type": "stream",
1285 "output_type": "stream",
1062 "text": [
1286 "text": [
1063 "Help on method for_type in module IPython.core.formatters:\n",
1287 "Help on method for_type in module IPython.core.formatters:\n",
1064 "\n",
1288 "\n",
1065 "for_type(self, typ, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
1289 "for_type(typ, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
1066 " Add a format function for a given type.\n",
1290 " Add a format function for a given type.\n",
1067 " \n",
1291 " \n",
1068 " Parameters\n",
1292 " Parameters\n",
1069 " -----------\n",
1293 " -----------\n",
1070 " typ : type or '__module__.__name__' string for a type\n",
1294 " typ : type or '__module__.__name__' string for a type\n",
1071 " The class of the object that will be formatted using `func`.\n",
1295 " The class of the object that will be formatted using `func`.\n",
1072 " func : callable\n",
1296 " func : callable\n",
1073 " A callable for computing the format data.\n",
1297 " A callable for computing the format data.\n",
1074 " `func` will be called with the object to be formatted,\n",
1298 " `func` will be called with the object to be formatted,\n",
1075 " and will return the raw data in this formatter's format.\n",
1299 " and will return the raw data in this formatter's format.\n",
1076 " Subclasses may use a different call signature for the\n",
1300 " Subclasses may use a different call signature for the\n",
1077 " `func` argument.\n",
1301 " `func` argument.\n",
1078 " \n",
1302 " \n",
1079 " If `func` is None or not specified, there will be no change,\n",
1303 " If `func` is None or not specified, there will be no change,\n",
1080 " only returning the current value.\n",
1304 " only returning the current value.\n",
1081 " \n",
1305 " \n",
1082 " Returns\n",
1306 " Returns\n",
1083 " -------\n",
1307 " -------\n",
1084 " oldfunc : callable\n",
1308 " oldfunc : callable\n",
1085 " The currently registered callable.\n",
1309 " The currently registered callable.\n",
1086 " If you are registering a new formatter,\n",
1310 " If you are registering a new formatter,\n",
1087 " this will be the previous value (to enable restoring later).\n",
1311 " this will be the previous value (to enable restoring later).\n",
1088 "\n"
1312 "\n"
1089 ]
1313 ]
1090 }
1314 }
1091 ],
1315 ],
1092 "source": [
1316 "source": [
1093 "help(latex_f.for_type)"
1317 "help(latex_f.for_type)"
1094 ]
1318 ]
1095 },
1319 },
1096 {
1320 {
1097 "cell_type": "code",
1321 "cell_type": "code",
1098 "execution_count": 16,
1322 "execution_count": 16,
1099 "metadata": {
1323 "metadata": {
1100 "collapsed": false
1324 "collapsed": false
1101 },
1325 },
1102 "outputs": [
1326 "outputs": [
1103 {
1327 {
1104 "name": "stdout",
1328 "name": "stdout",
1105 "output_type": "stream",
1329 "output_type": "stream",
1106 "text": [
1330 "text": [
1107 "Help on method for_type_by_name in module IPython.core.formatters:\n",
1331 "Help on method for_type_by_name in module IPython.core.formatters:\n",
1108 "\n",
1332 "\n",
1109 "for_type_by_name(self, type_module, type_name, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
1333 "for_type_by_name(type_module, type_name, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
1110 " Add a format function for a type specified by the full dotted\n",
1334 " Add a format function for a type specified by the full dotted\n",
1111 " module and name of the type, rather than the type of the object.\n",
1335 " module and name of the type, rather than the type of the object.\n",
1112 " \n",
1336 " \n",
1113 " Parameters\n",
1337 " Parameters\n",
1114 " ----------\n",
1338 " ----------\n",
1115 " type_module : str\n",
1339 " type_module : str\n",
1116 " The full dotted name of the module the type is defined in, like\n",
1340 " The full dotted name of the module the type is defined in, like\n",
1117 " ``numpy``.\n",
1341 " ``numpy``.\n",
1118 " type_name : str\n",
1342 " type_name : str\n",
1119 " The name of the type (the class name), like ``dtype``\n",
1343 " The name of the type (the class name), like ``dtype``\n",
1120 " func : callable\n",
1344 " func : callable\n",
1121 " A callable for computing the format data.\n",
1345 " A callable for computing the format data.\n",
1122 " `func` will be called with the object to be formatted,\n",
1346 " `func` will be called with the object to be formatted,\n",
1123 " and will return the raw data in this formatter's format.\n",
1347 " and will return the raw data in this formatter's format.\n",
1124 " Subclasses may use a different call signature for the\n",
1348 " Subclasses may use a different call signature for the\n",
1125 " `func` argument.\n",
1349 " `func` argument.\n",
1126 " \n",
1350 " \n",
1127 " If `func` is None or unspecified, there will be no change,\n",
1351 " If `func` is None or unspecified, there will be no change,\n",
1128 " only returning the current value.\n",
1352 " only returning the current value.\n",
1129 " \n",
1353 " \n",
1130 " Returns\n",
1354 " Returns\n",
1131 " -------\n",
1355 " -------\n",
1132 " oldfunc : callable\n",
1356 " oldfunc : callable\n",
1133 " The currently registered callable.\n",
1357 " The currently registered callable.\n",
1134 " If you are registering a new formatter,\n",
1358 " If you are registering a new formatter,\n",
1135 " this will be the previous value (to enable restoring later).\n",
1359 " this will be the previous value (to enable restoring later).\n",
1136 "\n"
1360 "\n"
1137 ]
1361 ]
1138 }
1362 }
1139 ],
1363 ],
1140 "source": [
1364 "source": [
1141 "help(latex_f.for_type_by_name)"
1365 "help(latex_f.for_type_by_name)"
1142 ]
1366 ]
1143 },
1367 },
1144 {
1368 {
1145 "cell_type": "markdown",
1369 "cell_type": "markdown",
1146 "metadata": {},
1370 "metadata": {},
1147 "source": [
1371 "source": [
1148 "In this case, we will use `for_type_by_name` to register `poly_to_latex` as the display function for the `Polynomial` type:"
1372 "In this case, we will use `for_type_by_name` to register `poly_to_latex` as the display function for the `Polynomial` type:"
1149 ]
1373 ]
1150 },
1374 },
1151 {
1375 {
1152 "cell_type": "code",
1376 "cell_type": "code",
1153 "execution_count": 18,
1377 "execution_count": 17,
1154 "metadata": {
1378 "metadata": {
1155 "collapsed": false
1379 "collapsed": false
1156 },
1380 },
1157 "outputs": [],
1381 "outputs": [],
1158 "source": [
1382 "source": [
1159 "latex_f.for_type_by_name('numpy.polynomial.polynomial',\n",
1383 "latex_f.for_type_by_name('numpy.polynomial.polynomial',\n",
1160 " 'Polynomial', poly_to_latex)"
1384 " 'Polynomial', poly_to_latex)"
1161 ]
1385 ]
1162 },
1386 },
1163 {
1387 {
1164 "cell_type": "markdown",
1388 "cell_type": "markdown",
1165 "metadata": {},
1389 "metadata": {},
1166 "source": [
1390 "source": [
1167 "Once the custom display function has been registered, all NumPy `Polynomial` instances will be represented by their LaTeX form instead:"
1391 "Once the custom display function has been registered, all NumPy `Polynomial` instances will be represented by their LaTeX form instead:"
1168 ]
1392 ]
1169 },
1393 },
1170 {
1394 {
1171 "cell_type": "code",
1395 "cell_type": "code",
1172 "execution_count": 19,
1396 "execution_count": 18,
1173 "metadata": {
1397 "metadata": {
1174 "collapsed": false
1398 "collapsed": false
1175 },
1399 },
1176 "outputs": [
1400 "outputs": [
1177 {
1401 {
1178 "data": {
1402 "data": {
1179 "text/latex": [
1403 "text/latex": [
1180 "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
1404 "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
1181 ],
1405 ],
1182 "text/plain": [
1406 "text/plain": [
1183 "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
1407 "Polynomial([ 1., 2., 3.], [-10., 10.], [-1, 1])"
1184 ]
1408 ]
1185 },
1409 },
1186 "execution_count": 19,
1410 "execution_count": 18,
1187 "metadata": {},
1411 "metadata": {},
1188 "output_type": "execute_result"
1412 "output_type": "execute_result"
1189 }
1413 }
1190 ],
1414 ],
1191 "source": [
1415 "source": [
1192 "p"
1416 "p"
1193 ]
1417 ]
1194 },
1418 },
1195 {
1419 {
1196 "cell_type": "code",
1420 "cell_type": "code",
1197 "execution_count": 20,
1421 "execution_count": 19,
1198 "metadata": {
1422 "metadata": {
1199 "collapsed": false
1423 "collapsed": false
1200 },
1424 },
1201 "outputs": [
1425 "outputs": [
1202 {
1426 {
1203 "data": {
1427 "data": {
1204 "text/latex": [
1428 "text/latex": [
1205 "$P(x)=-20+71 x+-15 x^2+x^3$, $x \\in [-1,\\ 1]$"
1429 "$P(x)=-20+71 x+-15 x^2+x^3$, $x \\in [-1,\\ 1]$"
1206 ],
1430 ],
1207 "text/plain": [
1431 "text/plain": [
1208 "Polynomial([-20., 71., -15., 1.], [-1., 1.], [-1., 1.])"
1432 "Polynomial([-20., 71., -15., 1.], [-1, 1], [-1, 1])"
1209 ]
1433 ]
1210 },
1434 },
1211 "execution_count": 20,
1435 "execution_count": 19,
1212 "metadata": {},
1436 "metadata": {},
1213 "output_type": "execute_result"
1437 "output_type": "execute_result"
1214 }
1438 }
1215 ],
1439 ],
1216 "source": [
1440 "source": [
1217 "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n",
1441 "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n",
1218 "p2"
1442 "p2"
1219 ]
1443 ]
1220 },
1444 },
1221 {
1445 {
1222 "cell_type": "markdown",
1446 "cell_type": "markdown",
1223 "metadata": {},
1447 "metadata": {},
1224 "source": [
1448 "source": [
1225 "## More complex display with `_ipython_display_`"
1449 "## More complex display with `_ipython_display_`"
1226 ]
1450 ]
1227 },
1451 },
1228 {
1452 {
1229 "cell_type": "markdown",
1453 "cell_type": "markdown",
1230 "metadata": {},
1454 "metadata": {},
1231 "source": [
1455 "source": [
1232 "Rich output special methods and functions can only display one object or MIME type at a time. Sometimes this is not enough if you want to display multiple objects or MIME types at once. An example of this would be to use an HTML representation to put some HTML elements in the DOM and then use a JavaScript representation to add events to those elements.\n",
1456 "Rich output special methods and functions can only display one object or MIME type at a time. Sometimes this is not enough if you want to display multiple objects or MIME types at once. An example of this would be to use an HTML representation to put some HTML elements in the DOM and then use a JavaScript representation to add events to those elements.\n",
1233 "\n",
1457 "\n",
1234 "**IPython 2.0** recognizes another display method, `_ipython_display_`, which allows your objects to take complete control of displaying themselves. If this method is defined, IPython will call it, and make no effort to display the object using the above described `_repr_*_` methods for custom display functions. It's a way for you to say \"Back off, IPython, I can display this myself.\" Most importantly, your `_ipython_display_` method can make multiple calls to the top-level `display` functions to accomplish its goals.\n",
1458 "**IPython 2.0** recognizes another display method, `_ipython_display_`, which allows your objects to take complete control of displaying themselves. If this method is defined, IPython will call it, and make no effort to display the object using the above described `_repr_*_` methods for custom display functions. It's a way for you to say \"Back off, IPython, I can display this myself.\" Most importantly, your `_ipython_display_` method can make multiple calls to the top-level `display` functions to accomplish its goals.\n",
1235 "\n",
1459 "\n",
1236 "Here is an object that uses `display_html` and `display_javascript` to make a plot using the [Flot](http://www.flotcharts.org/) JavaScript plotting library:"
1460 "Here is an object that uses `display_html` and `display_javascript` to make a plot using the [Flot](http://www.flotcharts.org/) JavaScript plotting library:"
1237 ]
1461 ]
1238 },
1462 },
1239 {
1463 {
1240 "cell_type": "code",
1464 "cell_type": "code",
1241 "execution_count": 21,
1465 "execution_count": 20,
1242 "metadata": {
1466 "metadata": {
1243 "collapsed": false
1467 "collapsed": false
1244 },
1468 },
1245 "outputs": [],
1469 "outputs": [],
1246 "source": [
1470 "source": [
1247 "import json\n",
1471 "import json\n",
1248 "import uuid\n",
1472 "import uuid\n",
1249 "from IPython.display import display_javascript, display_html, display\n",
1473 "from IPython.display import display_javascript, display_html, display\n",
1250 "\n",
1474 "\n",
1251 "class FlotPlot(object):\n",
1475 "class FlotPlot(object):\n",
1252 " def __init__(self, x, y):\n",
1476 " def __init__(self, x, y):\n",
1253 " self.x = x\n",
1477 " self.x = x\n",
1254 " self.y = y\n",
1478 " self.y = y\n",
1255 " self.uuid = str(uuid.uuid4())\n",
1479 " self.uuid = str(uuid.uuid4())\n",
1256 " \n",
1480 " \n",
1257 " def _ipython_display_(self):\n",
1481 " def _ipython_display_(self):\n",
1258 " json_data = json.dumps(zip(self.x, self.y))\n",
1482 " json_data = json.dumps(list(zip(self.x, self.y)))\n",
1259 " display_html('<div id=\"{}\" style=\"height: 300px; width:80%;\"></div>'.format(self.uuid),\n",
1483 " display_html('<div id=\"{}\" style=\"height: 300px; width:80%;\"></div>'.format(self.uuid),\n",
1260 " raw=True\n",
1484 " raw=True\n",
1261 " )\n",
1485 " )\n",
1262 " display_javascript(\"\"\"\n",
1486 " display_javascript(\"\"\"\n",
1263 " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
1487 " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
1264 " var line = JSON.parse(\"%s\");\n",
1488 " var line = JSON.parse(\"%s\");\n",
1265 " console.log(line);\n",
1489 " console.log(line);\n",
1266 " $.plot(\"#%s\", [line]);\n",
1490 " $.plot(\"#%s\", [line]);\n",
1267 " });\n",
1491 " });\n",
1268 " \"\"\" % (json_data, self.uuid), raw=True)\n"
1492 " \"\"\" % (json_data, self.uuid), raw=True)\n"
1269 ]
1493 ]
1270 },
1494 },
1271 {
1495 {
1272 "cell_type": "code",
1496 "cell_type": "code",
1273 "execution_count": 22,
1497 "execution_count": 21,
1274 "metadata": {
1498 "metadata": {
1275 "collapsed": false
1499 "collapsed": false
1276 },
1500 },
1277 "outputs": [
1501 "outputs": [
1278 {
1502 {
1279 "data": {
1503 "data": {
1280 "text/html": [
1504 "text/html": [
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1304 "import numpy as np\n",
1528 "import numpy as np\n",
1305 "x = np.linspace(0,10)\n",
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7 "<img src=\"../images/ipython_logo.png\">"
7 "<img src=\"../images/ipython_logo.png\">"
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14 "Back to the main [Index](../Index.ipynb)"
14 "Back to the main [Index](../Index.ipynb)"
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17 {
17 {
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21 "# IPython Kernel"
21 "# IPython Kernel"
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22 ]
23 },
23 },
24 {
24 {
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28 "IPython provides extensions to the Python programming language that make working interactively convenient and efficient. These extensions are implemented in the IPython Kernel and are available in all of the IPython Frontends (Notebook, Terminal, Console and Qt Console) when running this kernel."
28 "IPython provides extensions to the Python programming language that make working interactively convenient and efficient. These extensions are implemented in the IPython Kernel and are available in all of the IPython Frontends (Notebook, Terminal, Console and Qt Console) when running this kernel."
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31 {
31 {
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32 "cell_type": "markdown",
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35 "## Tutorials"
35 "## Tutorials"
36 ]
36 ]
37 },
37 },
38 {
38 {
39 "cell_type": "markdown",
39 "cell_type": "markdown",
40 "metadata": {},
40 "metadata": {},
41 "source": [
41 "source": [
42 "* [Cell Magics](Cell Magics.ipynb)\n",
42 "* [Cell Magics](Cell Magics.ipynb)\n",
43 "* [Script Magics](Script Magics.ipynb)\n",
43 "* [Script Magics](Script Magics.ipynb)\n",
44 "* [Rich Output](Rich Output.ipynb)\n",
44 "* [Rich Output](Rich Output.ipynb)\n",
45 "* [Custom Display Logic](Custom Display Logic.ipynb)\n",
45 "* [Custom Display Logic](Custom Display Logic.ipynb)\n",
46 "* [Plotting in the Notebook](Plotting in the Notebook.ipynb)\n",
46 "* [Plotting in the Notebook](Plotting in the Notebook.ipynb)\n",
47 "* [Capturing Output](Capturing Output.ipynb)"
47 "* [Capturing Output](Capturing Output.ipynb)"
48 ]
48 ]
49 },
49 },
50 {
50 {
51 "cell_type": "markdown",
51 "cell_type": "markdown",
52 "metadata": {},
52 "metadata": {},
53 "source": [
53 "source": [
54 "## Examples"
54 "## Examples"
55 ]
55 ]
56 },
56 },
57 {
57 {
58 "cell_type": "markdown",
58 "cell_type": "markdown",
59 "metadata": {},
59 "metadata": {},
60 "source": [
60 "source": [
61 "* [Background Jobs](Background Jobs.ipynb)\n",
61 "* [Background Jobs](Background Jobs.ipynb)\n",
62 "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
62 "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
63 "* [SymPy](SymPy.ipynb)\n",
63 "* [SymPy](SymPy.ipynb)\n",
64 "* [Raw Input in the Notebook](Raw Input in the Notebook.ipynb)"
64 "* [Raw Input in the Notebook](Raw Input in the Notebook.ipynb)"
65 ]
65 ]
66 },
66 },
67 {
67 {
68 "cell_type": "markdown",
68 "cell_type": "markdown",
69 "metadata": {},
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71 "## Non-notebook examples"
71 "## Non-notebook examples"
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78 "This directory also contains examples that are regular Python (`.py`) files."
78 "This directory also contains examples that are regular Python (`.py`) files."
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91 "<a href='example-demo.py' target='_blank'>example-demo.py</a><br>"
91 "<a href='example-demo.py' target='_blank'>example-demo.py</a><br>"
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103 "<a href='ipython-get-history.py' target='_blank'>ipython-get-history.py</a><br>"
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114 "%run ../utils/list_pyfiles.ipy"
114 "%run ../utils/list_pyfiles.ipy"
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121 "There are also a set of examples that show how to integrate IPython with different GUI event loops:"
121 "There are also a set of examples that show how to integrate IPython with different GUI event loops:"
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135 "&nbsp;&nbsp;<a href='gui/gui-glut.py' target='_blank'>gui-glut.py</a><br>\n",
149 "&nbsp;&nbsp;<a href='gui/gui-glut.py' target='_blank'>gui-glut.py</a><br>\n",
136 "&nbsp;&nbsp;<a href='gui/gui-gtk.py' target='_blank'>gui-gtk.py</a><br>\n",
150 "&nbsp;&nbsp;<a href='gui/gui-gtk.py' target='_blank'>gui-gtk.py</a><br>\n",
137 "&nbsp;&nbsp;<a href='gui/gui-gtk3.py' target='_blank'>gui-gtk3.py</a><br>\n",
151 "&nbsp;&nbsp;<a href='gui/gui-gtk3.py' target='_blank'>gui-gtk3.py</a><br>\n",
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