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More work on notebook tutorials.
Brian E. Granger -
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@@ -13,861 +13,14 b''
13 "level": 1,
13 "level": 1,
14 "metadata": {},
14 "metadata": {},
15 "source": [
15 "source": [
16 "Basic Output"
16 "Capturing Output With <tt>%%capture</tt>"
17 ]
17 ]
18 },
18 },
19 {
19 {
20 "cell_type": "markdown",
20 "cell_type": "markdown",
21 "metadata": {},
21 "metadata": {},
22 "source": [
22 "source": [
23 "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n",
23 "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."
24 "\n",
25 "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled."
26 ]
27 },
28 {
29 "cell_type": "heading",
30 "level": 2,
31 "metadata": {},
32 "source": [
33 "Displayhook"
34 ]
35 },
36 {
37 "cell_type": "markdown",
38 "metadata": {},
39 "source": [
40 "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n",
41 "\n",
42 "* `_` (last output)\n",
43 "* `__` (second to last output)\n",
44 "* `_N` (`Out[N]`)"
45 ]
46 },
47 {
48 "cell_type": "code",
49 "collapsed": false,
50 "input": [
51 "import numpy as np\n",
52 "import sys"
53 ],
54 "language": "python",
55 "metadata": {},
56 "outputs": [],
57 "prompt_number": 1
58 },
59 {
60 "cell_type": "code",
61 "collapsed": false,
62 "input": [
63 "np.random.rand(10)"
64 ],
65 "language": "python",
66 "metadata": {},
67 "outputs": [
68 {
69 "metadata": {},
70 "output_type": "pyout",
71 "prompt_number": 2,
72 "text": [
73 "array([ 0.95903549, 0.20840774, 0.89732074, 0.72494962, 0.30424358,\n",
74 " 0.03881097, 0.72698477, 0.92148251, 0.96582423, 0.95202918])"
75 ]
76 }
77 ],
78 "prompt_number": 2
79 },
80 {
81 "cell_type": "code",
82 "collapsed": false,
83 "input": [
84 "np.sin(_)"
85 ],
86 "language": "python",
87 "metadata": {},
88 "outputs": [
89 {
90 "metadata": {},
91 "output_type": "pyout",
92 "prompt_number": 3,
93 "text": [
94 "array([ 0.81863802, 0.20690236, 0.78165864, 0.66309773, 0.29957159,\n",
95 " 0.03880123, 0.66461974, 0.79649888, 0.82251797, 0.81459417])"
96 ]
97 }
98 ],
99 "prompt_number": 3
100 },
101 {
102 "cell_type": "heading",
103 "level": 2,
104 "metadata": {},
105 "source": [
106 "sys.stdout and sys.stderr"
107 ]
108 },
109 {
110 "cell_type": "markdown",
111 "metadata": {},
112 "source": [
113 "The stdout and stderr streams are displayed as text in the output area."
114 ]
115 },
116 {
117 "cell_type": "code",
118 "collapsed": false,
119 "input": [
120 "print(\"hi, stdout\")"
121 ],
122 "language": "python",
123 "metadata": {},
124 "outputs": [
125 {
126 "output_type": "stream",
127 "stream": "stdout",
128 "text": [
129 "hi, stdout\n"
130 ]
131 }
132 ],
133 "prompt_number": 4
134 },
135 {
136 "cell_type": "code",
137 "collapsed": false,
138 "input": [
139 "from __future__ import print_function\n",
140 "print('hi, stderr', file=sys.stderr)"
141 ],
142 "language": "python",
143 "metadata": {},
144 "outputs": [
145 {
146 "output_type": "stream",
147 "stream": "stderr",
148 "text": [
149 "hi, stderr\n"
150 ]
151 }
152 ],
153 "prompt_number": 5
154 },
155 {
156 "cell_type": "heading",
157 "level": 2,
158 "metadata": {},
159 "source": [
160 "Output is asynchronous"
161 ]
162 },
163 {
164 "cell_type": "markdown",
165 "metadata": {},
166 "source": [
167 "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
168 ]
169 },
170 {
171 "cell_type": "code",
172 "collapsed": false,
173 "input": [
174 "import time, sys\n",
175 "for i in range(8):\n",
176 " print(i)\n",
177 " time.sleep(0.5)"
178 ],
179 "language": "python",
180 "metadata": {},
181 "outputs": [
182 {
183 "output_type": "stream",
184 "stream": "stdout",
185 "text": [
186 "0\n",
187 "1"
188 ]
189 },
190 {
191 "output_type": "stream",
192 "stream": "stdout",
193 "text": [
194 "\n",
195 "2"
196 ]
197 },
198 {
199 "output_type": "stream",
200 "stream": "stdout",
201 "text": [
202 "\n",
203 "3"
204 ]
205 },
206 {
207 "output_type": "stream",
208 "stream": "stdout",
209 "text": [
210 "\n",
211 "4"
212 ]
213 },
214 {
215 "output_type": "stream",
216 "stream": "stdout",
217 "text": [
218 "\n",
219 "5"
220 ]
221 },
222 {
223 "output_type": "stream",
224 "stream": "stdout",
225 "text": [
226 "\n",
227 "6"
228 ]
229 },
230 {
231 "output_type": "stream",
232 "stream": "stdout",
233 "text": [
234 "\n",
235 "7"
236 ]
237 },
238 {
239 "output_type": "stream",
240 "stream": "stdout",
241 "text": [
242 "\n"
243 ]
244 }
245 ],
246 "prompt_number": 6
247 },
248 {
249 "cell_type": "heading",
250 "level": 2,
251 "metadata": {},
252 "source": [
253 "Large outputs"
254 ]
255 },
256 {
257 "cell_type": "markdown",
258 "metadata": {},
259 "source": [
260 "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
261 ]
262 },
263 {
264 "cell_type": "code",
265 "collapsed": false,
266 "input": [
267 "for i in range(50):\n",
268 " print(i)"
269 ],
270 "language": "python",
271 "metadata": {},
272 "outputs": [
273 {
274 "output_type": "stream",
275 "stream": "stdout",
276 "text": [
277 "0\n",
278 "1\n",
279 "2\n",
280 "3\n",
281 "4\n",
282 "5\n",
283 "6\n",
284 "7\n",
285 "8\n",
286 "9\n",
287 "10\n",
288 "11\n",
289 "12\n",
290 "13\n",
291 "14\n",
292 "15\n",
293 "16\n",
294 "17\n",
295 "18\n",
296 "19\n",
297 "20\n",
298 "21\n",
299 "22\n",
300 "23\n",
301 "24\n",
302 "25\n",
303 "26\n",
304 "27\n",
305 "28\n",
306 "29\n",
307 "30\n",
308 "31\n",
309 "32\n",
310 "33\n",
311 "34\n",
312 "35\n",
313 "36\n",
314 "37\n",
315 "38\n",
316 "39\n",
317 "40\n",
318 "41\n",
319 "42\n",
320 "43\n",
321 "44\n",
322 "45\n",
323 "46\n",
324 "47\n",
325 "48\n",
326 "49\n"
327 ]
328 }
329 ],
330 "prompt_number": 7
331 },
332 {
333 "cell_type": "markdown",
334 "metadata": {},
335 "source": [
336 "Beyond a certain point, output will scroll automatically:"
337 ]
338 },
339 {
340 "cell_type": "code",
341 "collapsed": false,
342 "input": [
343 "for i in range(500):\n",
344 " print(2**i - 1)"
345 ],
346 "language": "python",
347 "metadata": {},
348 "outputs": [
349 {
350 "output_type": "stream",
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854 }
855 ],
856 "prompt_number": 8
857 },
858 {
859 "cell_type": "heading",
860 "level": 2,
861 "metadata": {},
862 "source": [
863 "Capturing output with <tt>%%capture</tt>"
864 ]
865 },
866 {
867 "cell_type": "markdown",
868 "metadata": {},
869 "source": [
870 "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
871 ]
24 ]
872 },
25 },
873 {
26 {
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@@ -1,7 +1,7 b''
1 {
1 {
2 "metadata": {
2 "metadata": {
3 "name": "",
3 "name": "",
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@@ -51,8 +51,7 b''
51 "source": [
51 "source": [
52 "* [What is the IPython Notebook?](What is the IPython Notebook%3F.ipynb)\n",
52 "* [What is the IPython Notebook?](What is the IPython Notebook%3F.ipynb)\n",
53 "* [Running the Notebook Server](Running the Notebook Server.ipynb)\n",
53 "* [Running the Notebook Server](Running the Notebook Server.ipynb)\n",
54 "* [Notebook Dashboard](Notebook Dashboard.ipynb)\n",
54 "* [Notebook Basics](Notebook Basics.ipynb)\n",
55 "* [Notebook User Interface](Notebook User Interface.ipynb)\n",
56 "* [Running Code](Running Code.ipynb)\n",
55 "* [Running Code](Running Code.ipynb)\n",
57 "* [Basic Output](Basic Output.ipynb)\n",
56 "* [Basic Output](Basic Output.ipynb)\n",
58 "* [Working With Markdown Cells](Working With Markdown Cells.ipynb)\n",
57 "* [Working With Markdown Cells](Working With Markdown Cells.ipynb)\n",
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@@ -1,7 +1,7 b''
1 {
1 {
2 "metadata": {
2 "metadata": {
3 "name": "",
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13 "level": 1,
13 "level": 1,
14 "metadata": {},
14 "metadata": {},
15 "source": [
15 "source": [
16 "Notebook User Interface"
16 "Notebook Basics"
17 ]
17 ]
18 },
18 },
19 {
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20 "cell_type": "markdown",
20 "cell_type": "markdown",
21 "metadata": {},
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22 "source": [
23 "This notebook describes the user interface of the IPython Notebook. This includes both mouse and keyboard based navigation and interaction."
23 "This notebook assumes that you already have IPython [installed](http://ipython.org/install.html) and are able to start the notebook server by running:\n",
24 "\n",
25 " ipython notebook\n",
26 "\n",
27 "For more details on how to run the notebook server, see [Running the Notebook Server](Running the Notebook Server.ipynb)."
28 ]
29 },
30 {
31 "cell_type": "heading",
32 "level": 2,
33 "metadata": {},
34 "source": [
35 "The Notebook dashboard"
24 ]
36 ]
25 },
37 },
26 {
38 {
27 "cell_type": "markdown",
39 "cell_type": "markdown",
28 "metadata": {},
40 "metadata": {},
29 "source": [
41 "source": [
30 "<div class=\"alert\">\n",
42 "When you first start the notebook server, your browser will open to the notebook dashboard. The dashboard serves as a home page for the notebook. Its main purpose is to display the notebooks in the current directory. For example, here is a screenshot of the dashboard page for the `examples` directory in the IPython repository:\n",
31 "As of IPython 2.0, the user interface has changed significantly. Because of this we highly recommend existing users to review this information after upgrading to IPython 2.0. All new users of IPython should review this information as well.\n",
43 "\n",
32 "</div>"
44 "<img src=\"images/dashboard_notebooks_tab.png\" />\n",
45 "\n",
46 "The top of the notebook list displays clickable breadcrumbs of the current directory. By clicking on these breadcrumbs or on sub-directories in the notebook list, you can navigate your file system.\n",
47 "\n",
48 "To create a new notebook, click on the \"New Notebook\" button at the top of the list.\n",
49 "\n",
50 "Notebooks can be uploaded to the current directory by dragging a notebook file onto the notebook list or by the \"click here\" text above the list.\n",
51 "\n",
52 "The notebook list shows a red \"Shutdown\" button for running notebooks and a \"Delete\" button for stopped notebooks. Notebook remain running until you explicitly click the \"Shutdown\" button; closing the notebook's page is not sufficient.\n",
53 "\n",
54 "To see all of your running notebooks along with their directories, click on the \"Running\" tab:\n",
55 "\n",
56 "<img src=\"images/dashboard_running_tab.png\" />\n",
57 "\n",
58 "This view provides a convenient way to track notebooks that you start as you navigate the file system in a long running notebook server."
33 ]
59 ]
34 },
60 },
35 {
61 {
@@ -37,14 +63,23 b''
37 "level": 2,
63 "level": 2,
38 "metadata": {},
64 "metadata": {},
39 "source": [
65 "source": [
40 "Overview of the UI"
66 "Overview of the Notebook UI"
67 ]
68 },
69 {
70 "cell_type": "markdown",
71 "metadata": {},
72 "source": [
73 "<div class=\"alert\">\n",
74 "As of IPython 2.0, the user interface has changed significantly. Because of this we highly recommend existing users to review this information after upgrading to IPython 2.0. All new users of IPython should review this information as well.\n",
75 "</div>"
41 ]
76 ]
42 },
77 },
43 {
78 {
44 "cell_type": "markdown",
79 "cell_type": "markdown",
45 "metadata": {},
80 "metadata": {},
46 "source": [
81 "source": [
47 "The notebook UI has the following main areas:\n",
82 "If you create a new notebook or open an existing one, you will be taken to the notebook user interface (UI). This UI allows you to run code and author notebook documents interactively. The notebook UI has the following main areas:\n",
48 "\n",
83 "\n",
49 "* Menu\n",
84 "* Menu\n",
50 "* Toolbar\n",
85 "* Toolbar\n",
@@ -231,9 +266,9 b''
231 "* **Heading cells:** 6 levels of hierarchical organization and formatting\n",
266 "* **Heading cells:** 6 levels of hierarchical organization and formatting\n",
232 "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n",
267 "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n",
233 "\n",
268 "\n",
234 "More information about code and Markdown cell can be found in these tutorials:\n",
269 "More information about running code and Markdown cells can be found in these tutorials:\n",
235 "\n",
270 "\n",
236 "* [Working With Code Cells](Working With Code Cells.ipynb)\n",
271 "* [Running Code](Running Code.ipynb)\n",
237 "* [Working With Markdown Cells](Working With Markdown Cells.ipynb)"
272 "* [Working With Markdown Cells](Working With Markdown Cells.ipynb)"
238 ]
273 ]
239 }
274 }
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@@ -1,7 +1,7 b''
1 {
1 {
2 "metadata": {
2 "metadata": {
3 "name": "",
3 "name": "",
4 "signature": "sha256:1cf51b66a39fb370f2fb3d08af95cfc79b8884f310509181b3b0586400e20b81"
4 "signature": "sha256:f04198d3d69e0ecb1f8e08c92dcaf5942793c65e81e19e168b2b53e6fecaf223"
5 },
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6 "nbformat": 3,
6 "nbformat": 3,
7 "nbformat_minor": 0,
7 "nbformat_minor": 0,
@@ -13,14 +13,14 b''
13 "level": 1,
13 "level": 1,
14 "metadata": {},
14 "metadata": {},
15 "source": [
15 "source": [
16 "Running Code in the IPython Notebook"
16 "Running Code"
17 ]
17 ]
18 },
18 },
19 {
19 {
20 "cell_type": "markdown",
20 "cell_type": "markdown",
21 "metadata": {},
21 "metadata": {},
22 "source": [
22 "source": [
23 "First and foremost, the IPython Notebook is an interactive environment for writing and running code. IPython is capable of running code in a wide range of languages. However, in IPython 2.0, the default kernel runs Python code."
23 "First and foremost, the IPython Notebook is an interactive environment for writing and running code. IPython is capable of running code in a wide range of languages. However, this notebook, and the default kernel in IPython 2.0, runs Python code."
24 ]
24 ]
25 },
25 },
26 {
26 {
@@ -163,6 +163,771 b''
163 "source": [
163 "source": [
164 "The kernel maintains the state of a notebook's computations. You can reset this state by restarting the kernel. This is done by clicking on the <button><i class='icon-repeat'></i></button> in the toolbar above."
164 "The kernel maintains the state of a notebook's computations. You can reset this state by restarting the kernel. This is done by clicking on the <button><i class='icon-repeat'></i></button> in the toolbar above."
165 ]
165 ]
166 },
167 {
168 "cell_type": "heading",
169 "level": 2,
170 "metadata": {},
171 "source": [
172 "sys.stdout and sys.stderr"
173 ]
174 },
175 {
176 "cell_type": "markdown",
177 "metadata": {},
178 "source": [
179 "The stdout and stderr streams are displayed as text in the output area."
180 ]
181 },
182 {
183 "cell_type": "code",
184 "collapsed": false,
185 "input": [
186 "print(\"hi, stdout\")"
187 ],
188 "language": "python",
189 "metadata": {},
190 "outputs": [
191 {
192 "output_type": "stream",
193 "stream": "stdout",
194 "text": [
195 "hi, stdout\n"
196 ]
197 }
198 ],
199 "prompt_number": 2
200 },
201 {
202 "cell_type": "code",
203 "collapsed": false,
204 "input": [
205 "from __future__ import print_function\n",
206 "print('hi, stderr', file=sys.stderr)"
207 ],
208 "language": "python",
209 "metadata": {},
210 "outputs": [
211 {
212 "output_type": "stream",
213 "stream": "stderr",
214 "text": [
215 "hi, stderr\n"
216 ]
217 }
218 ],
219 "prompt_number": 3
220 },
221 {
222 "cell_type": "heading",
223 "level": 2,
224 "metadata": {},
225 "source": [
226 "Output is asynchronous"
227 ]
228 },
229 {
230 "cell_type": "markdown",
231 "metadata": {},
232 "source": [
233 "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
234 ]
235 },
236 {
237 "cell_type": "code",
238 "collapsed": false,
239 "input": [
240 "import time, sys\n",
241 "for i in range(8):\n",
242 " print(i)\n",
243 " time.sleep(0.5)"
244 ],
245 "language": "python",
246 "metadata": {},
247 "outputs": [
248 {
249 "output_type": "stream",
250 "stream": "stdout",
251 "text": [
252 "0\n",
253 "1"
254 ]
255 },
256 {
257 "output_type": "stream",
258 "stream": "stdout",
259 "text": [
260 "\n",
261 "2"
262 ]
263 },
264 {
265 "output_type": "stream",
266 "stream": "stdout",
267 "text": [
268 "\n",
269 "3"
270 ]
271 },
272 {
273 "output_type": "stream",
274 "stream": "stdout",
275 "text": [
276 "\n",
277 "4"
278 ]
279 },
280 {
281 "output_type": "stream",
282 "stream": "stdout",
283 "text": [
284 "\n",
285 "5"
286 ]
287 },
288 {
289 "output_type": "stream",
290 "stream": "stdout",
291 "text": [
292 "\n",
293 "6"
294 ]
295 },
296 {
297 "output_type": "stream",
298 "stream": "stdout",
299 "text": [
300 "\n",
301 "7"
302 ]
303 },
304 {
305 "output_type": "stream",
306 "stream": "stdout",
307 "text": [
308 "\n"
309 ]
310 }
311 ],
312 "prompt_number": 4
313 },
314 {
315 "cell_type": "heading",
316 "level": 2,
317 "metadata": {},
318 "source": [
319 "Large outputs"
320 ]
321 },
322 {
323 "cell_type": "markdown",
324 "metadata": {},
325 "source": [
326 "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
327 ]
328 },
329 {
330 "cell_type": "code",
331 "collapsed": false,
332 "input": [
333 "for i in range(50):\n",
334 " print(i)"
335 ],
336 "language": "python",
337 "metadata": {},
338 "outputs": [
339 {
340 "output_type": "stream",
341 "stream": "stdout",
342 "text": [
343 "0\n",
344 "1\n",
345 "2\n",
346 "3\n",
347 "4\n",
348 "5\n",
349 "6\n",
350 "7\n",
351 "8\n",
352 "9\n",
353 "10\n",
354 "11\n",
355 "12\n",
356 "13\n",
357 "14\n",
358 "15\n",
359 "16\n",
360 "17\n",
361 "18\n",
362 "19\n",
363 "20\n",
364 "21\n",
365 "22\n",
366 "23\n",
367 "24\n",
368 "25\n",
369 "26\n",
370 "27\n",
371 "28\n",
372 "29\n",
373 "30\n",
374 "31\n",
375 "32\n",
376 "33\n",
377 "34\n",
378 "35\n",
379 "36\n",
380 "37\n",
381 "38\n",
382 "39\n",
383 "40\n",
384 "41\n",
385 "42\n",
386 "43\n",
387 "44\n",
388 "45\n",
389 "46\n",
390 "47\n",
391 "48\n",
392 "49\n"
393 ]
394 }
395 ],
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397 },
398 {
399 "cell_type": "markdown",
400 "metadata": {},
401 "source": [
402 "Beyond a certain point, output will scroll automatically:"
403 ]
404 },
405 {
406 "cell_type": "code",
407 "collapsed": false,
408 "input": [
409 "for i in range(500):\n",
410 " print(2**i - 1)"
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920 }
921 ],
922 "prompt_number": 6
923 },
924 {
925 "cell_type": "code",
926 "collapsed": false,
927 "input": [],
928 "language": "python",
929 "metadata": {},
930 "outputs": []
166 }
931 }
167 ],
932 ],
168 "metadata": {}
933 "metadata": {}
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