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| 1 | { |
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1 | { | |
| 2 | "metadata": { |
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2 | "metadata": { | |
| 3 | "name": "00_notebook_tour" |
|
3 | "name": "00_notebook_tour" | |
| 4 | }, |
|
4 | }, | |
| 5 | "nbformat": 3, |
|
5 | "nbformat": 3, | |
| 6 | "worksheets": [ |
|
6 | "worksheets": [ | |
| 7 | { |
|
7 | { | |
| 8 | "cells": [ |
|
8 | "cells": [ | |
| 9 | { |
|
9 | { | |
| 10 | "cell_type": "markdown", |
|
10 | "cell_type": "markdown", | |
| 11 | "source": [ |
|
11 | "source": [ | |
| 12 | "# A brief tour of the IPython notebook", |
|
12 | "# A brief tour of the IPython notebook", | |
| 13 | "", |
|
13 | "", | |
| 14 | "This document will give you a brief tour of the capabilities of the IPython notebook. ", |
|
14 | "This document will give you a brief tour of the capabilities of the IPython notebook. ", | |
| 15 | "You can view its contents by scrolling around, or execute each cell by typing `Shift-Enter`.", |
|
15 | "You can view its contents by scrolling around, or execute each cell by typing `Shift-Enter`.", | |
| 16 | "After you conclude this brief high-level tour, you should read the accompanying notebook ", |
|
16 | "After you conclude this brief high-level tour, you should read the accompanying notebook ", | |
| 17 | "titled `01_notebook_introduction`, which takes a more step-by-step approach to the features of the", |
|
17 | "titled `01_notebook_introduction`, which takes a more step-by-step approach to the features of the", | |
| 18 | "system. ", |
|
18 | "system. ", | |
| 19 | "", |
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19 | "", | |
| 20 | "The rest of the notebooks in this directory illustrate various other aspects and ", |
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20 | "The rest of the notebooks in this directory illustrate various other aspects and ", | |
| 21 | "capabilities of the IPython notebook; some of them may require additional libraries to be executed.", |
|
21 | "capabilities of the IPython notebook; some of them may require additional libraries to be executed.", | |
| 22 | "", |
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22 | "", | |
| 23 | "**NOTE:** This notebook *must* be run from its own directory, so you must ``cd``", |
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23 | "**NOTE:** This notebook *must* be run from its own directory, so you must ``cd``", | |
| 24 | "to this directory and then start the notebook, but do *not* use the ``--notebook-dir``", |
|
24 | "to this directory and then start the notebook, but do *not* use the ``--notebook-dir``", | |
| 25 | "option to run it from another location.", |
|
25 | "option to run it from another location.", | |
| 26 | "", |
|
26 | "", | |
| 27 | "The first thing you need to know is that you are still controlling the same old IPython you're used to,", |
|
27 | "The first thing you need to know is that you are still controlling the same old IPython you're used to,", | |
| 28 | "so things like shell aliases and magic commands still work:" |
|
28 | "so things like shell aliases and magic commands still work:" | |
| 29 | ] |
|
29 | ] | |
| 30 | }, |
|
30 | }, | |
| 31 | { |
|
31 | { | |
| 32 | "cell_type": "code", |
|
32 | "cell_type": "code", | |
| 33 | "collapsed": false, |
|
33 | "collapsed": false, | |
| 34 | "input": [ |
|
34 | "input": [ | |
| 35 | "pwd" |
|
35 | "pwd" | |
| 36 | ], |
|
36 | ], | |
| 37 | "language": "python", |
|
37 | "language": "python", | |
| 38 | "outputs": [ |
|
38 | "outputs": [ | |
| 39 | { |
|
39 | { | |
| 40 | "output_type": "pyout", |
|
40 | "output_type": "pyout", | |
| 41 | "prompt_number": 1, |
|
41 | "prompt_number": 1, | |
| 42 | "text": [ |
|
42 | "text": [ | |
| 43 | "u'/home/fperez/ipython/ipython/docs/examples/notebooks'" |
|
43 | "u'/home/fperez/ipython/ipython/docs/examples/notebooks'" | |
| 44 | ] |
|
44 | ] | |
| 45 | } |
|
45 | } | |
| 46 | ], |
|
46 | ], | |
| 47 | "prompt_number": 1 |
|
47 | "prompt_number": 1 | |
| 48 | }, |
|
48 | }, | |
| 49 | { |
|
49 | { | |
| 50 | "cell_type": "code", |
|
50 | "cell_type": "code", | |
| 51 | "collapsed": false, |
|
51 | "collapsed": false, | |
| 52 | "input": [ |
|
52 | "input": [ | |
| 53 | "ls" |
|
53 | "ls" | |
| 54 | ], |
|
54 | ], | |
| 55 | "language": "python", |
|
55 | "language": "python", | |
| 56 | "outputs": [ |
|
56 | "outputs": [ | |
| 57 | { |
|
57 | { | |
| 58 | "output_type": "stream", |
|
58 | "output_type": "stream", | |
| 59 | "stream": "stdout", |
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59 | "stream": "stdout", | |
| 60 | "text": [ |
|
60 | "text": [ | |
| 61 | "00_notebook_tour.ipynb python-logo.svg", |
|
61 | "00_notebook_tour.ipynb python-logo.svg", | |
| 62 | "01_notebook_introduction.ipynb sympy.ipynb", |
|
62 | "01_notebook_introduction.ipynb sympy.ipynb", | |
| 63 | "animation.m4v sympy_quantum_computing.ipynb", |
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63 | "animation.m4v sympy_quantum_computing.ipynb", | |
| 64 | "display_protocol.ipynb trapezoid_rule.ipynb", |
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64 | "display_protocol.ipynb trapezoid_rule.ipynb", | |
| 65 | "formatting.ipynb" |
|
65 | "formatting.ipynb" | |
| 66 | ] |
|
66 | ] | |
| 67 | } |
|
67 | } | |
| 68 | ], |
|
68 | ], | |
| 69 | "prompt_number": 2 |
|
69 | "prompt_number": 2 | |
| 70 | }, |
|
70 | }, | |
| 71 | { |
|
71 | { | |
| 72 | "cell_type": "code", |
|
72 | "cell_type": "code", | |
| 73 | "collapsed": false, |
|
73 | "collapsed": false, | |
| 74 | "input": [ |
|
74 | "input": [ | |
| 75 | "message = 'The IPython notebook is great!'", |
|
75 | "message = 'The IPython notebook is great!'", | |
| 76 | "# note: the echo command does not run on Windows, it's a unix command.", |
|
76 | "# note: the echo command does not run on Windows, it's a unix command.", | |
| 77 | "!echo $message" |
|
77 | "!echo $message" | |
| 78 | ], |
|
78 | ], | |
| 79 | "language": "python", |
|
79 | "language": "python", | |
| 80 | "outputs": [ |
|
80 | "outputs": [ | |
| 81 | { |
|
81 | { | |
| 82 | "output_type": "stream", |
|
82 | "output_type": "stream", | |
| 83 | "stream": "stdout", |
|
83 | "stream": "stdout", | |
| 84 | "text": [ |
|
84 | "text": [ | |
| 85 | "The IPython notebook is great!" |
|
85 | "The IPython notebook is great!" | |
| 86 | ] |
|
86 | ] | |
| 87 | } |
|
87 | } | |
| 88 | ], |
|
88 | ], | |
| 89 | "prompt_number": 3 |
|
89 | "prompt_number": 3 | |
| 90 | }, |
|
90 | }, | |
| 91 | { |
|
91 | { | |
| 92 | "cell_type": "markdown", |
|
92 | "cell_type": "markdown", | |
| 93 | "source": [ |
|
93 | "source": [ | |
| 94 | "Plots with matplotlib: do *not* execute the next below if you do not have matplotlib installed or didn't start up ", |
|
94 | "Plots with matplotlib: do *not* execute the next below if you do not have matplotlib installed or didn't start up ", | |
| 95 | "this notebook with the `--pylab` option, as the code will not work." |
|
95 | "this notebook with the `--pylab` option, as the code will not work." | |
| 96 | ] |
|
96 | ] | |
| 97 | }, |
|
97 | }, | |
| 98 | { |
|
98 | { | |
| 99 | "cell_type": "code", |
|
99 | "cell_type": "code", | |
| 100 | "collapsed": false, |
|
100 | "collapsed": false, | |
| 101 | "input": [ |
|
101 | "input": [ | |
| 102 | "x = linspace(0, 3*pi, 500)", |
|
102 | "x = linspace(0, 3*pi, 500)", | |
| 103 | "plot(x, sin(x**2))", |
|
103 | "plot(x, sin(x**2))", | |
| 104 | "title('A simple chirp');" |
|
104 | "title('A simple chirp');" | |
| 105 | ], |
|
105 | ], | |
| 106 | "language": "python", |
|
106 | "language": "python", | |
| 107 | "outputs": [ |
|
107 | "outputs": [ | |
| 108 | { |
|
108 | { | |
| 109 | "output_type": "display_data", |
|
109 | "output_type": "display_data", | |
| 110 | "png": 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wZcoUR8LXhfffB6ZPd77BdCMKSp/X0wfUnmJFERTpOx0qYoUOT19lwTVeTz9q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\nAwODbgRD+gYGBgbdCIb0DQwMDLoR/j8U8QHdaUyIsAAAAABJRU5ErkJggg==\n" 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110 | "png": 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wZcoUR8LXhfffB6ZPd77BdCMKSp/X0wfUnmJFERTpOx0qYoUOT19lwTVeTz9q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\nLNDayk76Y8eSf1mUfo8e5PXrfgrmhTDpn3feeXj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| |
| 111 | } |
|
111 | } | |
| 112 | ], |
|
112 | ], | |
| 113 | "prompt_number": 4 |
|
113 | "prompt_number": 4 | |
| 114 | }, |
|
114 | }, | |
| 115 | { |
|
115 | { | |
| 116 | "cell_type": "markdown", |
|
116 | "cell_type": "markdown", | |
| 117 | "source": [ |
|
117 | "source": [ | |
| 118 | "You can paste blocks of input with prompt markers, such as those from", |
|
118 | "You can paste blocks of input with prompt markers, such as those from", | |
| 119 | "[the official Python tutorial](http://docs.python.org/tutorial/interpreter.html#interactive-mode)" |
|
119 | "[the official Python tutorial](http://docs.python.org/tutorial/interpreter.html#interactive-mode)" | |
| 120 | ] |
|
120 | ] | |
| 121 | }, |
|
121 | }, | |
| 122 | { |
|
122 | { | |
| 123 | "cell_type": "code", |
|
123 | "cell_type": "code", | |
| 124 | "collapsed": false, |
|
124 | "collapsed": false, | |
| 125 | "input": [ |
|
125 | "input": [ | |
| 126 | ">>> the_world_is_flat = 1", |
|
126 | ">>> the_world_is_flat = 1", | |
| 127 | ">>> if the_world_is_flat:", |
|
127 | ">>> if the_world_is_flat:", | |
| 128 | "... print \"Be careful not to fall off!\"" |
|
128 | "... print \"Be careful not to fall off!\"" | |
| 129 | ], |
|
129 | ], | |
| 130 | "language": "python", |
|
130 | "language": "python", | |
| 131 | "outputs": [ |
|
131 | "outputs": [ | |
| 132 | { |
|
132 | { | |
| 133 | "output_type": "stream", |
|
133 | "output_type": "stream", | |
| 134 | "stream": "stdout", |
|
134 | "stream": "stdout", | |
| 135 | "text": [ |
|
135 | "text": [ | |
| 136 | "Be careful not to fall off!" |
|
136 | "Be careful not to fall off!" | |
| 137 | ] |
|
137 | ] | |
| 138 | } |
|
138 | } | |
| 139 | ], |
|
139 | ], | |
| 140 | "prompt_number": 5 |
|
140 | "prompt_number": 5 | |
| 141 | }, |
|
141 | }, | |
| 142 | { |
|
142 | { | |
| 143 | "cell_type": "markdown", |
|
143 | "cell_type": "markdown", | |
| 144 | "source": [ |
|
144 | "source": [ | |
| 145 | "Errors are shown in informative ways:" |
|
145 | "Errors are shown in informative ways:" | |
| 146 | ] |
|
146 | ] | |
| 147 | }, |
|
147 | }, | |
| 148 | { |
|
148 | { | |
| 149 | "cell_type": "code", |
|
149 | "cell_type": "code", | |
| 150 | "collapsed": false, |
|
150 | "collapsed": false, | |
| 151 | "input": [ |
|
151 | "input": [ | |
| 152 | "%run non_existent_file" |
|
152 | "%run non_existent_file" | |
| 153 | ], |
|
153 | ], | |
| 154 | "language": "python", |
|
154 | "language": "python", | |
| 155 | "outputs": [ |
|
155 | "outputs": [ | |
| 156 | { |
|
156 | { | |
| 157 | "output_type": "stream", |
|
157 | "output_type": "stream", | |
| 158 | "stream": "stderr", |
|
158 | "stream": "stderr", | |
| 159 | "text": [ |
|
159 | "text": [ | |
| 160 | "ERROR: File `non_existent_file.py` not found." |
|
160 | "ERROR: File `non_existent_file.py` not found." | |
| 161 | ] |
|
161 | ] | |
| 162 | } |
|
162 | } | |
| 163 | ], |
|
163 | ], | |
| 164 | "prompt_number": 6 |
|
164 | "prompt_number": 6 | |
| 165 | }, |
|
165 | }, | |
| 166 | { |
|
166 | { | |
| 167 | "cell_type": "code", |
|
167 | "cell_type": "code", | |
| 168 | "collapsed": false, |
|
168 | "collapsed": false, | |
| 169 | "input": [ |
|
169 | "input": [ | |
| 170 | "x = 1", |
|
170 | "x = 1", | |
| 171 | "y = 4", |
|
171 | "y = 4", | |
| 172 | "z = y/(1-x)" |
|
172 | "z = y/(1-x)" | |
| 173 | ], |
|
173 | ], | |
| 174 | "language": "python", |
|
174 | "language": "python", | |
| 175 | "outputs": [ |
|
175 | "outputs": [ | |
| 176 | { |
|
176 | { | |
| 177 | "ename": "ZeroDivisionError", |
|
177 | "ename": "ZeroDivisionError", | |
| 178 | "evalue": "integer division or modulo by zero", |
|
178 | "evalue": "integer division or modulo by zero", | |
| 179 | "output_type": "pyerr", |
|
179 | "output_type": "pyerr", | |
| 180 | "traceback": [ |
|
180 | "traceback": [ | |
| 181 | "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", |
|
181 | "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", | |
| 182 | "\u001b[0;32m/home/fperez/ipython/ipython/docs/examples/notebooks/<ipython-input-7-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", |
|
182 | "\u001b[0;32m/home/fperez/ipython/ipython/docs/examples/notebooks/<ipython-input-7-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| 183 | "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" |
|
183 | "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" | |
| 184 | ] |
|
184 | ] | |
| 185 | } |
|
185 | } | |
| 186 | ], |
|
186 | ], | |
| 187 | "prompt_number": 7 |
|
187 | "prompt_number": 7 | |
| 188 | }, |
|
188 | }, | |
| 189 | { |
|
189 | { | |
| 190 | "cell_type": "markdown", |
|
190 | "cell_type": "markdown", | |
| 191 | "source": [ |
|
191 | "source": [ | |
| 192 | "When IPython needs to display additional information (such as providing details on an object via `x?`", |
|
192 | "When IPython needs to display additional information (such as providing details on an object via `x?`", | |
| 193 | "it will automatically invoke a pager at the bottom of the screen:" |
|
193 | "it will automatically invoke a pager at the bottom of the screen:" | |
| 194 | ] |
|
194 | ] | |
| 195 | }, |
|
195 | }, | |
| 196 | { |
|
196 | { | |
| 197 | "cell_type": "code", |
|
197 | "cell_type": "code", | |
| 198 | "collapsed": true, |
|
198 | "collapsed": true, | |
| 199 | "input": [ |
|
199 | "input": [ | |
| 200 | "magic" |
|
200 | "magic" | |
| 201 | ], |
|
201 | ], | |
| 202 | "language": "python", |
|
202 | "language": "python", | |
| 203 | "outputs": [], |
|
203 | "outputs": [], | |
| 204 | "prompt_number": 8 |
|
204 | "prompt_number": 8 | |
| 205 | }, |
|
205 | }, | |
| 206 | { |
|
206 | { | |
| 207 | "cell_type": "markdown", |
|
207 | "cell_type": "markdown", | |
| 208 | "source": [ |
|
208 | "source": [ | |
| 209 | "## Non-blocking output of kernel", |
|
209 | "## Non-blocking output of kernel", | |
| 210 | "", |
|
210 | "", | |
| 211 | "If you execute the next cell, you will see the output arriving as it is generated, not all at the end." |
|
211 | "If you execute the next cell, you will see the output arriving as it is generated, not all at the end." | |
| 212 | ] |
|
212 | ] | |
| 213 | }, |
|
213 | }, | |
| 214 | { |
|
214 | { | |
| 215 | "cell_type": "code", |
|
215 | "cell_type": "code", | |
| 216 | "collapsed": false, |
|
216 | "collapsed": false, | |
| 217 | "input": [ |
|
217 | "input": [ | |
| 218 | "import time, sys", |
|
218 | "import time, sys", | |
| 219 | "for i in range(8):", |
|
219 | "for i in range(8):", | |
| 220 | " print i,", |
|
220 | " print i,", | |
| 221 | " time.sleep(0.5)" |
|
221 | " time.sleep(0.5)" | |
| 222 | ], |
|
222 | ], | |
| 223 | "language": "python", |
|
223 | "language": "python", | |
| 224 | "outputs": [ |
|
224 | "outputs": [ | |
| 225 | { |
|
225 | { | |
| 226 | "output_type": "stream", |
|
226 | "output_type": "stream", | |
| 227 | "stream": "stdout", |
|
227 | "stream": "stdout", | |
| 228 | "text": [ |
|
228 | "text": [ | |
| 229 | "0 " |
|
229 | "0 " | |
| 230 | ] |
|
230 | ] | |
| 231 | }, |
|
231 | }, | |
| 232 | { |
|
232 | { | |
| 233 | "output_type": "stream", |
|
233 | "output_type": "stream", | |
| 234 | "stream": "stdout", |
|
234 | "stream": "stdout", | |
| 235 | "text": [ |
|
235 | "text": [ | |
| 236 | "1 " |
|
236 | "1 " | |
| 237 | ] |
|
237 | ] | |
| 238 | }, |
|
238 | }, | |
| 239 | { |
|
239 | { | |
| 240 | "output_type": "stream", |
|
240 | "output_type": "stream", | |
| 241 | "stream": "stdout", |
|
241 | "stream": "stdout", | |
| 242 | "text": [ |
|
242 | "text": [ | |
| 243 | "2 " |
|
243 | "2 " | |
| 244 | ] |
|
244 | ] | |
| 245 | }, |
|
245 | }, | |
| 246 | { |
|
246 | { | |
| 247 | "output_type": "stream", |
|
247 | "output_type": "stream", | |
| 248 | "stream": "stdout", |
|
248 | "stream": "stdout", | |
| 249 | "text": [ |
|
249 | "text": [ | |
| 250 | "3 " |
|
250 | "3 " | |
| 251 | ] |
|
251 | ] | |
| 252 | }, |
|
252 | }, | |
| 253 | { |
|
253 | { | |
| 254 | "output_type": "stream", |
|
254 | "output_type": "stream", | |
| 255 | "stream": "stdout", |
|
255 | "stream": "stdout", | |
| 256 | "text": [ |
|
256 | "text": [ | |
| 257 | "4 " |
|
257 | "4 " | |
| 258 | ] |
|
258 | ] | |
| 259 | }, |
|
259 | }, | |
| 260 | { |
|
260 | { | |
| 261 | "output_type": "stream", |
|
261 | "output_type": "stream", | |
| 262 | "stream": "stdout", |
|
262 | "stream": "stdout", | |
| 263 | "text": [ |
|
263 | "text": [ | |
| 264 | "5 " |
|
264 | "5 " | |
| 265 | ] |
|
265 | ] | |
| 266 | }, |
|
266 | }, | |
| 267 | { |
|
267 | { | |
| 268 | "output_type": "stream", |
|
268 | "output_type": "stream", | |
| 269 | "stream": "stdout", |
|
269 | "stream": "stdout", | |
| 270 | "text": [ |
|
270 | "text": [ | |
| 271 | "6 " |
|
271 | "6 " | |
| 272 | ] |
|
272 | ] | |
| 273 | }, |
|
273 | }, | |
| 274 | { |
|
274 | { | |
| 275 | "output_type": "stream", |
|
275 | "output_type": "stream", | |
| 276 | "stream": "stdout", |
|
276 | "stream": "stdout", | |
| 277 | "text": [ |
|
277 | "text": [ | |
| 278 | "7" |
|
278 | "7" | |
| 279 | ] |
|
279 | ] | |
| 280 | } |
|
280 | } | |
| 281 | ], |
|
281 | ], | |
| 282 | "prompt_number": 9 |
|
282 | "prompt_number": 9 | |
| 283 | }, |
|
283 | }, | |
| 284 | { |
|
284 | { | |
| 285 | "cell_type": "markdown", |
|
285 | "cell_type": "markdown", | |
| 286 | "source": [ |
|
286 | "source": [ | |
| 287 | "## Clean crash and restart", |
|
287 | "## Clean crash and restart", | |
| 288 | "", |
|
288 | "", | |
| 289 | "We call the low-level system libc.time routine with the wrong argument via", |
|
289 | "We call the low-level system libc.time routine with the wrong argument via", | |
| 290 | "ctypes to segfault the Python interpreter:" |
|
290 | "ctypes to segfault the Python interpreter:" | |
| 291 | ] |
|
291 | ] | |
| 292 | }, |
|
292 | }, | |
| 293 | { |
|
293 | { | |
| 294 | "cell_type": "code", |
|
294 | "cell_type": "code", | |
| 295 | "collapsed": true, |
|
295 | "collapsed": true, | |
| 296 | "input": [ |
|
296 | "input": [ | |
| 297 | "from ctypes import CDLL", |
|
297 | "from ctypes import CDLL", | |
| 298 | "# This will crash a linux system; equivalent calls can be made on Windows or Mac", |
|
298 | "# This will crash a linux system; equivalent calls can be made on Windows or Mac", | |
| 299 | "libc = CDLL(\"libc.so.6\") ", |
|
299 | "libc = CDLL(\"libc.so.6\") ", | |
| 300 | "libc.time(-1) # BOOM!!" |
|
300 | "libc.time(-1) # BOOM!!" | |
| 301 | ], |
|
301 | ], | |
| 302 | "language": "python", |
|
302 | "language": "python", | |
| 303 | "outputs": [], |
|
303 | "outputs": [], | |
| 304 | "prompt_number": "*" |
|
304 | "prompt_number": "*" | |
| 305 | }, |
|
305 | }, | |
| 306 | { |
|
306 | { | |
| 307 | "cell_type": "markdown", |
|
307 | "cell_type": "markdown", | |
| 308 | "source": [ |
|
308 | "source": [ | |
| 309 | "## Markdown cells can contain formatted text and code", |
|
309 | "## Markdown cells can contain formatted text and code", | |
| 310 | "", |
|
310 | "", | |
| 311 | "You can *italicize*, **boldface**", |
|
311 | "You can *italicize*, **boldface**", | |
| 312 | "", |
|
312 | "", | |
| 313 | "* build", |
|
313 | "* build", | |
| 314 | "* lists", |
|
314 | "* lists", | |
| 315 | "", |
|
315 | "", | |
| 316 | "and embed code meant for illustration instead of execution in Python:", |
|
316 | "and embed code meant for illustration instead of execution in Python:", | |
| 317 | "", |
|
317 | "", | |
| 318 | " def f(x):", |
|
318 | " def f(x):", | |
| 319 | " \"\"\"a docstring\"\"\"", |
|
319 | " \"\"\"a docstring\"\"\"", | |
| 320 | " return x**2", |
|
320 | " return x**2", | |
| 321 | "", |
|
321 | "", | |
| 322 | "or other languages:", |
|
322 | "or other languages:", | |
| 323 | "", |
|
323 | "", | |
| 324 | " if (i=0; i<n; i++) {", |
|
324 | " if (i=0; i<n; i++) {", | |
| 325 | " printf(\"hello %d\\n\", i);", |
|
325 | " printf(\"hello %d\\n\", i);", | |
| 326 | " x += 4;", |
|
326 | " x += 4;", | |
| 327 | " }" |
|
327 | " }" | |
| 328 | ] |
|
328 | ] | |
| 329 | }, |
|
329 | }, | |
| 330 | { |
|
330 | { | |
| 331 | "cell_type": "markdown", |
|
331 | "cell_type": "markdown", | |
| 332 | "source": [ |
|
332 | "source": [ | |
| 333 | "Courtesy of MathJax, you can include mathematical expressions both inline: ", |
|
333 | "Courtesy of MathJax, you can include mathematical expressions both inline: ", | |
| 334 | "$e^{i\\pi} + 1 = 0$ and displayed:", |
|
334 | "$e^{i\\pi} + 1 = 0$ and displayed:", | |
| 335 | "", |
|
335 | "", | |
| 336 | "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$" |
|
336 | "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$" | |
| 337 | ] |
|
337 | ] | |
| 338 | }, |
|
338 | }, | |
| 339 | { |
|
339 | { | |
| 340 | "cell_type": "markdown", |
|
340 | "cell_type": "markdown", | |
| 341 | "source": [ |
|
341 | "source": [ | |
| 342 | "## Rich displays: include anyting a browser can show", |
|
342 | "## Rich displays: include anyting a browser can show", | |
| 343 | "", |
|
343 | "", | |
| 344 | "Note that we have an actual protocol for this, see the `display_protocol` notebook for further details.", |
|
344 | "Note that we have an actual protocol for this, see the `display_protocol` notebook for further details.", | |
| 345 | "", |
|
345 | "", | |
| 346 | "### Images" |
|
346 | "### Images" | |
| 347 | ] |
|
347 | ] | |
| 348 | }, |
|
348 | }, | |
| 349 | { |
|
349 | { | |
| 350 | "cell_type": "code", |
|
350 | "cell_type": "code", | |
| 351 | "collapsed": false, |
|
351 | "collapsed": false, | |
| 352 | "input": [ |
|
352 | "input": [ | |
| 353 | "from IPython.core.display import Image", |
|
353 | "from IPython.core.display import Image", | |
| 354 | "Image(filename='../../source/_static/logo.png')" |
|
354 | "Image(filename='../../source/_static/logo.png')" | |
| 355 | ], |
|
355 | ], | |
| 356 | "language": "python", |
|
356 | "language": "python", | |
| 357 | "outputs": [ |
|
357 | "outputs": [ | |
| 358 | { |
|
358 | { | |
| 359 | "output_type": "pyout", |
|
359 | "output_type": "pyout", | |
| 360 | "png": 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| |
| 361 | "prompt_number": 1, |
|
361 | "prompt_number": 1, | |
| 362 | "text": [ |
|
362 | "text": [ | |
| 363 | "<IPython.core.display.Image at 0x41d4690>" |
|
363 | "<IPython.core.display.Image at 0x41d4690>" | |
| 364 | ] |
|
364 | ] | |
| 365 | } |
|
365 | } | |
| 366 | ], |
|
366 | ], | |
| 367 | "prompt_number": 1 |
|
367 | "prompt_number": 1 | |
| 368 | }, |
|
368 | }, | |
| 369 | { |
|
369 | { | |
| 370 | "cell_type": "markdown", |
|
370 | "cell_type": "markdown", | |
| 371 | "source": [ |
|
371 | "source": [ | |
| 372 | "An image can also be displayed from raw data or a url" |
|
372 | "An image can also be displayed from raw data or a url" | |
| 373 | ] |
|
373 | ] | |
| 374 | }, |
|
374 | }, | |
| 375 | { |
|
375 | { | |
| 376 | "cell_type": "code", |
|
376 | "cell_type": "code", | |
| 377 | "collapsed": false, |
|
377 | "collapsed": false, | |
| 378 | "input": [ |
|
378 | "input": [ | |
| 379 | "Image('http://python.org/images/python-logo.gif')" |
|
379 | "Image('http://python.org/images/python-logo.gif')" | |
| 380 | ], |
|
380 | ], | |
| 381 | "language": "python", |
|
381 | "language": "python", | |
| 382 | "outputs": [ |
|
382 | "outputs": [ | |
| 383 | { |
|
383 | { | |
| 384 | "html": [ |
|
384 | "html": [ | |
| 385 | "<img src=\"http://python.org/images/python-logo.gif\" />" |
|
385 | "<img src=\"http://python.org/images/python-logo.gif\" />" | |
| 386 | ], |
|
386 | ], | |
| 387 | "output_type": "pyout", |
|
387 | "output_type": "pyout", | |
| 388 | "prompt_number": 2, |
|
388 | "prompt_number": 2, | |
| 389 | "text": [ |
|
389 | "text": [ | |
| 390 | "<IPython.core.display.Image at 0x41d4550>" |
|
390 | "<IPython.core.display.Image at 0x41d4550>" | |
| 391 | ] |
|
391 | ] | |
| 392 | } |
|
392 | } | |
| 393 | ], |
|
393 | ], | |
| 394 | "prompt_number": 2 |
|
394 | "prompt_number": 2 | |
| 395 | }, |
|
395 | }, | |
| 396 | { |
|
396 | { | |
| 397 | "cell_type": "markdown", |
|
397 | "cell_type": "markdown", | |
| 398 | "source": [ |
|
398 | "source": [ | |
| 399 | "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):" |
|
399 | "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):" | |
| 400 | ] |
|
400 | ] | |
| 401 | }, |
|
401 | }, | |
| 402 | { |
|
402 | { | |
| 403 | "cell_type": "code", |
|
403 | "cell_type": "code", | |
| 404 | "collapsed": false, |
|
404 | "collapsed": false, | |
| 405 | "input": [ |
|
405 | "input": [ | |
| 406 | "from IPython.core.display import SVG", |
|
406 | "from IPython.core.display import SVG", | |
| 407 | "SVG(filename='python-logo.svg')" |
|
407 | "SVG(filename='python-logo.svg')" | |
| 408 | ], |
|
408 | ], | |
| 409 | "language": "python", |
|
409 | "language": "python", | |
| 410 | "outputs": [ |
|
410 | "outputs": [ | |
| 411 | { |
|
411 | { | |
| 412 | "output_type": "pyout", |
|
412 | "output_type": "pyout", | |
| 413 | "prompt_number": 3, |
|
413 | "prompt_number": 3, | |
| 414 | "svg": [ |
|
414 | "svg": [ | |
| 415 | "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">", |
|
415 | "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">", | |
| 416 | " <metadata id=\"metadata2193\">", |
|
416 | " <metadata id=\"metadata2193\">", | |
| 417 | " <rdf:RDF>", |
|
417 | " <rdf:RDF>", | |
| 418 | " <cc:Work rdf:about=\"\">", |
|
418 | " <cc:Work rdf:about=\"\">", | |
| 419 | " <dc:format>image/svg+xml</dc:format>", |
|
419 | " <dc:format>image/svg+xml</dc:format>", | |
| 420 | " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>", |
|
420 | " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>", | |
| 421 | " </cc:Work>", |
|
421 | " </cc:Work>", | |
| 422 | " </rdf:RDF>", |
|
422 | " </rdf:RDF>", | |
| 423 | " </metadata>", |
|
423 | " </metadata>", | |
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468 | " <path d=\"M 385.37424,60.525783 C 385.37424,54.930953 384.31182,50.310833 382.19669,46.655673 C 379.68195,42.201253 375.77337,39.852203 370.49044,39.608523 C 360.72386,40.173863 355.85032,47.172273 355.85032,60.584263 C 355.85032,66.734683 356.86401,71.871393 358.91089,75.994413 C 361.52312,81.248093 365.44145,83.840823 370.66589,83.753103 C 380.47146,83.675123 385.37424,75.935933 385.37424,60.525783 z M 395.13109,60.584263 C 395.13109,68.547643 393.09395,75.175663 389.02941,80.468333 C 384.5555,86.394563 378.37584,89.367423 370.49044,89.367423 C 362.67328,89.367423 356.58135,86.394563 352.18541,80.468333 C 348.19885,75.175663 346.21044,68.547643 346.21044,60.584263 C 346.21044,53.098503 348.36455,46.801883 352.67276,41.674913 C 357.22466,36.236033 363.20937,33.506853 370.6074,33.506853 C 378.00545,33.506853 384.02914,36.236033 388.66877,41.674913 C 392.97697,46.801883 395.13109,53.098503 395.13109,60.584263 z \" id=\"path54\" style=\"fill:#646464;fill-opacity:1\"/>", | |
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| 472 | " <path d=\"M 463.5544,26.909383 L 465.11635,26.909383 L 465.11635,17.113143 L 468.81648,17.113143 L 468.81648,15.945483 L 459.85427,15.945483 L 459.85427,17.113143 L 463.5544,17.113143 L 463.5544,26.909383 M 470.20142,26.909383 L 471.53589,26.909383 L 471.53589,17.962353 L 474.4323,26.908259 L 475.91799,26.908259 L 478.93615,17.992683 L 478.93615,26.909383 L 480.39194,26.909383 L 480.39194,15.945483 L 478.46605,15.945483 L 475.16774,25.33834 L 472.35477,15.945483 L 470.20142,15.945483 L 470.20142,26.909383\" id=\"text3004\" style=\"font-size:15.16445827px;font-style:normal;font-weight:normal;line-height:125%;fill:#646464;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;font-family:Bitstream Vera Sans\"/>", |
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| 473 | " <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1 12.570599,132.28575 A 48.948284 8.6066771 0 1 1 110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>", |
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473 | " <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1 12.570599,132.28575 A 48.948284 8.6066771 0 1 1 110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>", | |
| 474 | " </g>", |
|
474 | " </g>", | |
| 475 | "</svg>" |
|
475 | "</svg>" | |
| 476 | ], |
|
476 | ], | |
| 477 | "text": [ |
|
477 | "text": [ | |
| 478 | "<IPython.core.display.SVG at 0x41d4910>" |
|
478 | "<IPython.core.display.SVG at 0x41d4910>" | |
| 479 | ] |
|
479 | ] | |
| 480 | } |
|
480 | } | |
| 481 | ], |
|
481 | ], | |
| 482 | "prompt_number": 3 |
|
482 | "prompt_number": 3 | |
| 483 | }, |
|
483 | }, | |
| 484 | { |
|
484 | { | |
| 485 | "cell_type": "markdown", |
|
485 | "cell_type": "markdown", | |
| 486 | "source": [ |
|
486 | "source": [ | |
| 487 | "#### Embedded vs Non-embedded Images" |
|
487 | "#### Embedded vs Non-embedded Images" | |
| 488 | ] |
|
488 | ] | |
| 489 | }, |
|
489 | }, | |
| 490 | { |
|
490 | { | |
| 491 | "cell_type": "markdown", |
|
491 | "cell_type": "markdown", | |
| 492 | "source": [ |
|
492 | "source": [ | |
| 493 | "As of IPython 0.13, images are embedded by default for compatibility with QtConsole, and the ability to still be displayed offline.", |
|
493 | "As of IPython 0.13, images are embedded by default for compatibility with QtConsole, and the ability to still be displayed offline.", | |
| 494 | "", |
|
494 | "", | |
| 495 | "Let's look at the differences:" |
|
495 | "Let's look at the differences:" | |
| 496 | ] |
|
496 | ] | |
| 497 | }, |
|
497 | }, | |
| 498 | { |
|
498 | { | |
| 499 | "cell_type": "code", |
|
499 | "cell_type": "code", | |
| 500 | "collapsed": false, |
|
500 | "collapsed": false, | |
| 501 | "input": [ |
|
501 | "input": [ | |
| 502 | "# by default Image data are embedded", |
|
502 | "# by default Image data are embedded", | |
| 503 | "Embed = Image( 'http://www.google.fr/images/srpr/logo3w.png')", |
|
503 | "Embed = Image( 'http://www.google.fr/images/srpr/logo3w.png')", | |
| 504 | "", |
|
504 | "", | |
| 505 | "# if kwarg `url` is given, the embedding is assumed to be false", |
|
505 | "# if kwarg `url` is given, the embedding is assumed to be false", | |
| 506 | "SoftLinked = Image(url='http://www.google.fr/images/srpr/logo3w.png')", |
|
506 | "SoftLinked = Image(url='http://www.google.fr/images/srpr/logo3w.png')", | |
| 507 | "", |
|
507 | "", | |
| 508 | "# In each case, embed can be specified explicitly with the `embed` kwarg", |
|
508 | "# In each case, embed can be specified explicitly with the `embed` kwarg", | |
| 509 | "# ForceEmbed = Image(url='http://www.google.fr/images/srpr/logo3w.png', embed=True)" |
|
509 | "# ForceEmbed = Image(url='http://www.google.fr/images/srpr/logo3w.png', embed=True)" | |
| 510 | ], |
|
510 | ], | |
| 511 | "language": "python", |
|
511 | "language": "python", | |
| 512 | "outputs": [], |
|
512 | "outputs": [], | |
| 513 | "prompt_number": 6 |
|
513 | "prompt_number": 6 | |
| 514 | }, |
|
514 | }, | |
| 515 | { |
|
515 | { | |
| 516 | "cell_type": "markdown", |
|
516 | "cell_type": "markdown", | |
| 517 | "source": [ |
|
517 | "source": [ | |
| 518 |
"Today's Google doodle, (at the time I created this notebook). This should also work |
|
518 | "Today's Google doodle, (at the time I created this notebook). This should also work in the Qtconsole.", | |
| 519 | "Drawback is that the saved notebook will be larger, but the image will still be present offline. |
|
519 | "Drawback is that the saved notebook will be larger, but the image will still be present offline. | |
| 520 | ] |
|
520 | ] | |
| 521 | }, |
|
521 | }, | |
| 522 | { |
|
522 | { | |
| 523 | "cell_type": "code", |
|
523 | "cell_type": "code", | |
| 524 | "collapsed": false, |
|
524 | "collapsed": false, | |
| 525 | "input": [ |
|
525 | "input": [ | |
| 526 | "Embed" |
|
526 | "Embed" | |
| 527 | ], |
|
527 | ], | |
| 528 | "language": "python", |
|
528 | "language": "python", | |
| 529 | "outputs": [ |
|
529 | "outputs": [ | |
| 530 | { |
|
530 | { | |
| 531 | "jpeg": 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yaeZLfKeLSndoKkZOM4zjOgd+gQrwOymNP/7p9hf5OJOgpN9JfYtm3kWm7icj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yaeZLfKeLSndoKkZOM4zjOgd+gQrwOymNP/7p9hf5OJOgpN9JfYtm3kWm7icj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\nBoDQGgNAaA0H/9k=\n", | |
| 532 | "output_type": "pyout", |
|
532 | "output_type": "pyout", | |
| 533 | "prompt_number": 7, |
|
533 | "prompt_number": 7, | |
| 534 | "text": [ |
|
534 | "text": [ | |
| 535 | "<IPython.core.display.Image at 0x107deaad0>" |
|
535 | "<IPython.core.display.Image at 0x107deaad0>" | |
| 536 | ] |
|
536 | ] | |
| 537 | } |
|
537 | } | |
| 538 | ], |
|
538 | ], | |
| 539 | "prompt_number": 7 |
|
539 | "prompt_number": 7 | |
| 540 | }, |
|
540 | }, | |
| 541 | { |
|
541 | { | |
| 542 | "cell_type": "markdown", |
|
542 | "cell_type": "markdown", | |
| 543 | "source": [ |
|
543 | "source": [ | |
| 544 | "Today's Google doodle, visible only with an active internet connexion, that should be different from the previous one. This will not work on Qtconsole.", |
|
544 | "Today's Google doodle, visible only with an active internet connexion, that should be different from the previous one. This will not work on Qtconsole.", | |
| 545 | "Notebook saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline." |
|
545 | "Notebook saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline." | |
| 546 | ] |
|
546 | ] | |
| 547 | }, |
|
547 | }, | |
| 548 | { |
|
548 | { | |
| 549 | "cell_type": "code", |
|
549 | "cell_type": "code", | |
| 550 | "collapsed": false, |
|
550 | "collapsed": false, | |
| 551 | "input": [ |
|
551 | "input": [ | |
| 552 | "SoftLinked" |
|
552 | "SoftLinked" | |
| 553 | ], |
|
553 | ], | |
| 554 | "language": "python", |
|
554 | "language": "python", | |
| 555 | "outputs": [ |
|
555 | "outputs": [ | |
| 556 | { |
|
556 | { | |
| 557 | "html": [ |
|
557 | "html": [ | |
| 558 | "<img src=\"http://www.google.fr/images/srpr/logo3w.png\" />" |
|
558 | "<img src=\"http://www.google.fr/images/srpr/logo3w.png\" />" | |
| 559 | ], |
|
559 | ], | |
| 560 | "output_type": "pyout", |
|
560 | "output_type": "pyout", | |
| 561 | "prompt_number": 5, |
|
561 | "prompt_number": 5, | |
| 562 | "text": [ |
|
562 | "text": [ | |
| 563 | "<IPython.core.display.Image at 0x107dea890>" |
|
563 | "<IPython.core.display.Image at 0x107dea890>" | |
| 564 | ] |
|
564 | ] | |
| 565 | } |
|
565 | } | |
| 566 | ], |
|
566 | ], | |
| 567 | "prompt_number": 5 |
|
567 | "prompt_number": 5 | |
| 568 | }, |
|
568 | }, | |
| 569 | { |
|
569 | { | |
| 570 | "cell_type": "markdown", |
|
570 | "cell_type": "markdown", | |
| 571 | "source": [ |
|
571 | "source": [ | |
| 572 | "Of course, if you re-run this notebook, the two doodles will be the same again.", |
|
572 | "Of course, if you re-run this notebook, the two doodles will be the same again.", | |
| 573 | "<!-- well actually I cheated a little, by setting Embed Url to http://www.google.com/logos/2012/doisneau12-hp.jpg then editing the ipynb myself and replacing it by the other url -->" |
|
573 | "<!-- well actually I cheated a little, by setting Embed Url to http://www.google.com/logos/2012/doisneau12-hp.jpg then editing the ipynb myself and replacing it by the other url -->" | |
| 574 | ] |
|
574 | ] | |
| 575 | }, |
|
575 | }, | |
| 576 | { |
|
576 | { | |
| 577 | "cell_type": "markdown", |
|
577 | "cell_type": "markdown", | |
| 578 | "source": [ |
|
578 | "source": [ | |
| 579 | "### Video" |
|
579 | "### Video" | |
| 580 | ] |
|
580 | ] | |
| 581 | }, |
|
581 | }, | |
| 582 | { |
|
582 | { | |
| 583 | "cell_type": "markdown", |
|
583 | "cell_type": "markdown", | |
| 584 | "source": [ |
|
584 | "source": [ | |
| 585 | "And more exotic objects can also be displayed, as long as their representation supports ", |
|
585 | "And more exotic objects can also be displayed, as long as their representation supports ", | |
| 586 | "the IPython display protocol.", |
|
586 | "the IPython display protocol.", | |
| 587 | "", |
|
587 | "", | |
| 588 | "For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other", |
|
588 | "For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other", | |
| 589 | "hosted content is trivial):" |
|
589 | "hosted content is trivial):" | |
| 590 | ] |
|
590 | ] | |
| 591 | }, |
|
591 | }, | |
| 592 | { |
|
592 | { | |
| 593 | "cell_type": "code", |
|
593 | "cell_type": "code", | |
| 594 | "collapsed": false, |
|
594 | "collapsed": false, | |
| 595 | "input": [ |
|
595 | "input": [ | |
| 596 | "from IPython.lib.display import YouTubeVideo", |
|
596 | "from IPython.lib.display import YouTubeVideo", | |
| 597 | "# a talk about IPython at Sage Days at U. Washington, Seattle.", |
|
597 | "# a talk about IPython at Sage Days at U. Washington, Seattle.", | |
| 598 | "# Video credit: William Stein.", |
|
598 | "# Video credit: William Stein.", | |
| 599 | "YouTubeVideo('1j_HxD4iLn8')" |
|
599 | "YouTubeVideo('1j_HxD4iLn8')" | |
| 600 | ], |
|
600 | ], | |
| 601 | "language": "python", |
|
601 | "language": "python", | |
| 602 | "outputs": [ |
|
602 | "outputs": [ | |
| 603 | { |
|
603 | { | |
| 604 | "html": [ |
|
604 | "html": [ | |
| 605 | "", |
|
605 | "", | |
| 606 | " <iframe", |
|
606 | " <iframe", | |
| 607 | " width=\"400\"", |
|
607 | " width=\"400\"", | |
| 608 | " height=\"300\"", |
|
608 | " height=\"300\"", | |
| 609 | " src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"", |
|
609 | " src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"", | |
| 610 | " frameborder=\"0\"", |
|
610 | " frameborder=\"0\"", | |
| 611 | " allowfullscreen", |
|
611 | " allowfullscreen", | |
| 612 | " ></iframe>", |
|
612 | " ></iframe>", | |
| 613 | " " |
|
613 | " " | |
| 614 | ], |
|
614 | ], | |
| 615 | "output_type": "pyout", |
|
615 | "output_type": "pyout", | |
| 616 | "prompt_number": 4, |
|
616 | "prompt_number": 4, | |
| 617 | "text": [ |
|
617 | "text": [ | |
| 618 | "<IPython.lib.display.YouTubeVideo at 0x41d4310>" |
|
618 | "<IPython.lib.display.YouTubeVideo at 0x41d4310>" | |
| 619 | ] |
|
619 | ] | |
| 620 | } |
|
620 | } | |
| 621 | ], |
|
621 | ], | |
| 622 | "prompt_number": 4 |
|
622 | "prompt_number": 4 | |
| 623 | }, |
|
623 | }, | |
| 624 | { |
|
624 | { | |
| 625 | "cell_type": "markdown", |
|
625 | "cell_type": "markdown", | |
| 626 | "source": [ |
|
626 | "source": [ | |
| 627 | "Using the nascent video capabilities of modern browsers, you may also be able to display local", |
|
627 | "Using the nascent video capabilities of modern browsers, you may also be able to display local", | |
| 628 | "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;", |
|
628 | "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;", | |
| 629 | "we will continue testing this and looking for ways to make it more robust. ", |
|
629 | "we will continue testing this and looking for ways to make it more robust. ", | |
| 630 | "", |
|
630 | "", | |
| 631 | "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http", |
|
631 | "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http", | |
| 632 | "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control", |
|
632 | "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control", | |
| 633 | "bar at the bottom with a play/pause button and a location slider." |
|
633 | "bar at the bottom with a play/pause button and a location slider." | |
| 634 | ] |
|
634 | ] | |
| 635 | }, |
|
635 | }, | |
| 636 | { |
|
636 | { | |
| 637 | "cell_type": "code", |
|
637 | "cell_type": "code", | |
| 638 | "collapsed": false, |
|
638 | "collapsed": false, | |
| 639 | "input": [ |
|
639 | "input": [ | |
| 640 | "from IPython.core.display import HTML", |
|
640 | "from IPython.core.display import HTML", | |
| 641 | "video = open(\"animation.m4v\", \"rb\").read()", |
|
641 | "video = open(\"animation.m4v\", \"rb\").read()", | |
| 642 | "video_encoded = video.encode(\"base64\")", |
|
642 | "video_encoded = video.encode(\"base64\")", | |
| 643 | "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)", |
|
643 | "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)", | |
| 644 | "HTML(data=video_tag)" |
|
644 | "HTML(data=video_tag)" | |
| 645 | ], |
|
645 | ], | |
| 646 | "language": "python", |
|
646 | "language": "python", | |
| 647 | "outputs": [ |
|
647 | "outputs": [ | |
| 648 | { |
|
648 | { | |
| 649 | "html": [ |
|
649 | "html": [ | |
| 650 | "<video controls alt=\"test\" src=\"data:video/x-m4v;base64,AAAAHGZ0eXBNNFYgAAACAGlzb21pc28yYXZjMQAAAAhmcmVlAAAqiW1kYXQAAAKMBgX//4jcRem9", |
|
650 | "<video controls alt=\"test\" src=\"data:video/x-m4v;base64,AAAAHGZ0eXBNNFYgAAACAGlzb21pc28yYXZjMQAAAAhmcmVlAAAqiW1kYXQAAAKMBgX//4jcRem9", | |
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|
857 | "ACj7AAAp4AAAAGF1ZHRhAAAAWW1ldGEAAAAAAAAAIWhkbHIAAAAAAAAAAG1kaXJhcHBsAAAAAAAA", | |
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858 | "AAAAAAAALGlsc3QAAAAkqXRvbwAAABxkYXRhAAAAAQAAAABMYXZmNTIuMTExLjA=", | |
| 859 | "\">" |
|
859 | "\">" | |
| 860 | ], |
|
860 | ], | |
| 861 | "output_type": "pyout", |
|
861 | "output_type": "pyout", | |
| 862 | "prompt_number": 5, |
|
862 | "prompt_number": 5, | |
| 863 | "text": [ |
|
863 | "text": [ | |
| 864 | "<IPython.core.display.HTML at 0x423a550>" |
|
864 | "<IPython.core.display.HTML at 0x423a550>" | |
| 865 | ] |
|
865 | ] | |
| 866 | } |
|
866 | } | |
| 867 | ], |
|
867 | ], | |
| 868 | "prompt_number": 5 |
|
868 | "prompt_number": 5 | |
| 869 | }, |
|
869 | }, | |
| 870 | { |
|
870 | { | |
| 871 | "cell_type": "markdown", |
|
871 | "cell_type": "markdown", | |
| 872 | "source": [ |
|
872 | "source": [ | |
| 873 | "## Local Files", |
|
873 | "## Local Files", | |
| 874 | "", |
|
874 | "", | |
| 875 | "The above examples embed images and video from the notebook filesystem in the output", |
|
875 | "The above examples embed images and video from the notebook filesystem in the output", | |
| 876 | "areas of code cells. It is also possible to request these files directly in markdown cells", |
|
876 | "areas of code cells. It is also possible to request these files directly in markdown cells", | |
| 877 | "if they reside in the notebook directory via relative urls prefixed with `files/`:", |
|
877 | "if they reside in the notebook directory via relative urls prefixed with `files/`:", | |
| 878 | "", |
|
878 | "", | |
| 879 | " files/[subdirectory/]<filename>", |
|
879 | " files/[subdirectory/]<filename>", | |
| 880 | "", |
|
880 | "", | |
| 881 | "", |
|
881 | "", | |
| 882 | "For example, in the example notebook folder, we have the Python logo, addressed as:", |
|
882 | "For example, in the example notebook folder, we have the Python logo, addressed as:", | |
| 883 | "", |
|
883 | "", | |
| 884 | " <img src=\"files/python-logo.svg\" />", |
|
884 | " <img src=\"files/python-logo.svg\" />", | |
| 885 | "", |
|
885 | "", | |
| 886 | "<img src=\"/files/python-logo.svg\" />", |
|
886 | "<img src=\"/files/python-logo.svg\" />", | |
| 887 | "", |
|
887 | "", | |
| 888 | "and a video with the HTML5 video tag:", |
|
888 | "and a video with the HTML5 video tag:", | |
| 889 | "", |
|
889 | "", | |
| 890 | " <video controls src=\"files/animation.m4v\" />", |
|
890 | " <video controls src=\"files/animation.m4v\" />", | |
| 891 | "", |
|
891 | "", | |
| 892 | "<video controls src=\"/files/animation.m4v\" />", |
|
892 | "<video controls src=\"/files/animation.m4v\" />", | |
| 893 | "", |
|
893 | "", | |
| 894 | "These do not embed the data into the notebook file,", |
|
894 | "These do not embed the data into the notebook file,", | |
| 895 | "and require that the files exist when you are viewing the notebook.", |
|
895 | "and require that the files exist when you are viewing the notebook.", | |
| 896 | "", |
|
896 | "", | |
| 897 | "### Security of local files", |
|
897 | "### Security of local files", | |
| 898 | "", |
|
898 | "", | |
| 899 | "Note that this means that the IPython notebook server also acts as a generic file server", |
|
899 | "Note that this means that the IPython notebook server also acts as a generic file server", | |
| 900 | "for files inside the same tree as your notebooks. Access is not granted outside the", |
|
900 | "for files inside the same tree as your notebooks. Access is not granted outside the", | |
| 901 | "notebook folder so you have strict control over what files are visible, but for this", |
|
901 | "notebook folder so you have strict control over what files are visible, but for this", | |
| 902 | "reason it is highly recommended that you do not run the notebook server with a notebook", |
|
902 | "reason it is highly recommended that you do not run the notebook server with a notebook", | |
| 903 | "directory at a high level in your filesystem (e.g. your home directory).", |
|
903 | "directory at a high level in your filesystem (e.g. your home directory).", | |
| 904 | "", |
|
904 | "", | |
| 905 | "When you run the notebook in a password-protected manner, local file access is restricted", |
|
905 | "When you run the notebook in a password-protected manner, local file access is restricted", | |
| 906 | "to authenticated users unless read-only views are active." |
|
906 | "to authenticated users unless read-only views are active." | |
| 907 | ] |
|
907 | ] | |
| 908 | }, |
|
908 | }, | |
| 909 | { |
|
909 | { | |
| 910 | "cell_type": "markdown", |
|
910 | "cell_type": "markdown", | |
| 911 | "source": [ |
|
911 | "source": [ | |
| 912 | "### External sites", |
|
912 | "### External sites", | |
| 913 | "", |
|
913 | "", | |
| 914 | "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia", |
|
914 | "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia", | |
| 915 | "page for mobile users:" |
|
915 | "page for mobile users:" | |
| 916 | ] |
|
916 | ] | |
| 917 | }, |
|
917 | }, | |
| 918 | { |
|
918 | { | |
| 919 | "cell_type": "code", |
|
919 | "cell_type": "code", | |
| 920 | "collapsed": false, |
|
920 | "collapsed": false, | |
| 921 | "input": [ |
|
921 | "input": [ | |
| 922 | "HTML('<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>')" |
|
922 | "HTML('<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>')" | |
| 923 | ], |
|
923 | ], | |
| 924 | "language": "python", |
|
924 | "language": "python", | |
| 925 | "outputs": [ |
|
925 | "outputs": [ | |
| 926 | { |
|
926 | { | |
| 927 | "html": [ |
|
927 | "html": [ | |
| 928 | "<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>" |
|
928 | "<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>" | |
| 929 | ], |
|
929 | ], | |
| 930 | "output_type": "pyout", |
|
930 | "output_type": "pyout", | |
| 931 | "prompt_number": 6, |
|
931 | "prompt_number": 6, | |
| 932 | "text": [ |
|
932 | "text": [ | |
| 933 | "<IPython.core.display.HTML at 0x41d4710>" |
|
933 | "<IPython.core.display.HTML at 0x41d4710>" | |
| 934 | ] |
|
934 | ] | |
| 935 | } |
|
935 | } | |
| 936 | ], |
|
936 | ], | |
| 937 | "prompt_number": 6 |
|
937 | "prompt_number": 6 | |
| 938 | }, |
|
938 | }, | |
| 939 | { |
|
939 | { | |
| 940 | "cell_type": "markdown", |
|
940 | "cell_type": "markdown", | |
| 941 | "source": [ |
|
941 | "source": [ | |
| 942 | "### Mathematics", |
|
942 | "### Mathematics", | |
| 943 | "", |
|
943 | "", | |
| 944 | "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered", |
|
944 | "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered", | |
| 945 | "in the browser thanks to the [MathJax library](http://mathjax.org). ", |
|
945 | "in the browser thanks to the [MathJax library](http://mathjax.org). ", | |
| 946 | "", |
|
946 | "", | |
| 947 | "Note that this is *different* from the above examples. Above we were typing mathematical expressions", |
|
947 | "Note that this is *different* from the above examples. Above we were typing mathematical expressions", | |
| 948 | "in Markdown cells (along with normal text) and letting the browser render them; now we are displaying", |
|
948 | "in Markdown cells (along with normal text) and letting the browser render them; now we are displaying", | |
| 949 | "the output of a Python computation as a LaTeX expression wrapped by the `Math()` object so the browser", |
|
949 | "the output of a Python computation as a LaTeX expression wrapped by the `Math()` object so the browser", | |
| 950 | "renders it. The `Math` object will add the needed LaTeX delimiters (`$$`) if they are not provided:" |
|
950 | "renders it. The `Math` object will add the needed LaTeX delimiters (`$$`) if they are not provided:" | |
| 951 | ] |
|
951 | ] | |
| 952 | }, |
|
952 | }, | |
| 953 | { |
|
953 | { | |
| 954 | "cell_type": "code", |
|
954 | "cell_type": "code", | |
| 955 | "collapsed": false, |
|
955 | "collapsed": false, | |
| 956 | "input": [ |
|
956 | "input": [ | |
| 957 | "from IPython.core.display import Math", |
|
957 | "from IPython.core.display import Math", | |
| 958 | "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" |
|
958 | "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" | |
| 959 | ], |
|
959 | ], | |
| 960 | "language": "python", |
|
960 | "language": "python", | |
| 961 | "outputs": [ |
|
961 | "outputs": [ | |
| 962 | { |
|
962 | { | |
| 963 | "latex": [ |
|
963 | "latex": [ | |
| 964 | "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$" |
|
964 | "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$" | |
| 965 | ], |
|
965 | ], | |
| 966 | "output_type": "pyout", |
|
966 | "output_type": "pyout", | |
| 967 | "prompt_number": 1, |
|
967 | "prompt_number": 1, | |
| 968 | "text": [ |
|
968 | "text": [ | |
| 969 | "<IPython.core.display.Math object at 0x10ad35e90>" |
|
969 | "<IPython.core.display.Math object at 0x10ad35e90>" | |
| 970 | ] |
|
970 | ] | |
| 971 | } |
|
971 | } | |
| 972 | ], |
|
972 | ], | |
| 973 | "prompt_number": 1 |
|
973 | "prompt_number": 1 | |
| 974 | }, |
|
974 | }, | |
| 975 | { |
|
975 | { | |
| 976 | "cell_type": "markdown", |
|
976 | "cell_type": "markdown", | |
| 977 | "source": [ |
|
977 | "source": [ | |
| 978 | "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:" |
|
978 | "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:" | |
| 979 | ] |
|
979 | ] | |
| 980 | }, |
|
980 | }, | |
| 981 | { |
|
981 | { | |
| 982 | "cell_type": "code", |
|
982 | "cell_type": "code", | |
| 983 | "collapsed": false, |
|
983 | "collapsed": false, | |
| 984 | "input": [ |
|
984 | "input": [ | |
| 985 | "from IPython.core.display import Latex", |
|
985 | "from IPython.core.display import Latex", | |
| 986 | "Latex(r\"\"\"\\begin{eqnarray}", |
|
986 | "Latex(r\"\"\"\\begin{eqnarray}", | |
| 987 | "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\", |
|
987 | "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\", | |
| 988 | "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\", |
|
988 | "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\", | |
| 989 | "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\", |
|
989 | "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\", | |
| 990 | "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ", |
|
990 | "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ", | |
| 991 | "\\end{eqnarray}\"\"\")" |
|
991 | "\\end{eqnarray}\"\"\")" | |
| 992 | ], |
|
992 | ], | |
| 993 | "language": "python", |
|
993 | "language": "python", | |
| 994 | "outputs": [ |
|
994 | "outputs": [ | |
| 995 | { |
|
995 | { | |
| 996 | "latex": [ |
|
996 | "latex": [ | |
| 997 | "\\begin{eqnarray}", |
|
997 | "\\begin{eqnarray}", | |
| 998 | "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\", |
|
998 | "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\", | |
| 999 | "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\", |
|
999 | "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\", | |
| 1000 | "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ", |
|
1000 | "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ", | |
| 1001 | "\\end{eqnarray}" |
|
1001 | "\\end{eqnarray}" | |
| 1002 | ], |
|
1002 | ], | |
| 1003 | "output_type": "pyout", |
|
1003 | "output_type": "pyout", | |
| 1004 | "prompt_number": 5, |
|
1004 | "prompt_number": 5, | |
| 1005 | "text": [ |
|
1005 | "text": [ | |
| 1006 | "<IPython.core.display.Latex object at 0x109a38790>" |
|
1006 | "<IPython.core.display.Latex object at 0x109a38790>" | |
| 1007 | ] |
|
1007 | ] | |
| 1008 | } |
|
1008 | } | |
| 1009 | ], |
|
1009 | ], | |
| 1010 | "prompt_number": 5 |
|
1010 | "prompt_number": 5 | |
| 1011 | }, |
|
1011 | }, | |
| 1012 | { |
|
1012 | { | |
| 1013 | "cell_type": "markdown", |
|
1013 | "cell_type": "markdown", | |
| 1014 | "source": [ |
|
1014 | "source": [ | |
| 1015 | "# Loading external codes", |
|
1015 | "# Loading external codes", | |
| 1016 | "* Drag and drop a ``.py`` in the dashboard", |
|
1016 | "* Drag and drop a ``.py`` in the dashboard", | |
| 1017 | "* Use ``%loadpy`` with any local or remote url: [the Matplotlib Gallery!](http://matplotlib.sourceforge.net/gallery.html)", |
|
1017 | "* Use ``%loadpy`` with any local or remote url: [the Matplotlib Gallery!](http://matplotlib.sourceforge.net/gallery.html)", | |
| 1018 | "", |
|
1018 | "", | |
| 1019 | "In this notebook we've kept the output saved so you can see the result, but you should run the next", |
|
1019 | "In this notebook we've kept the output saved so you can see the result, but you should run the next", | |
| 1020 | "cell yourself (with an active internet connection)." |
|
1020 | "cell yourself (with an active internet connection)." | |
| 1021 | ] |
|
1021 | ] | |
| 1022 | }, |
|
1022 | }, | |
| 1023 | { |
|
1023 | { | |
| 1024 | "cell_type": "code", |
|
1024 | "cell_type": "code", | |
| 1025 | "collapsed": true, |
|
1025 | "collapsed": true, | |
| 1026 | "input": [ |
|
1026 | "input": [ | |
| 1027 | "%loadpy http://matplotlib.sourceforge.net/mpl_examples/pylab_examples/integral_demo.py" |
|
1027 | "%loadpy http://matplotlib.sourceforge.net/mpl_examples/pylab_examples/integral_demo.py" | |
| 1028 | ], |
|
1028 | ], | |
| 1029 | "language": "python", |
|
1029 | "language": "python", | |
| 1030 | "outputs": [], |
|
1030 | "outputs": [], | |
| 1031 | "prompt_number": 8 |
|
1031 | "prompt_number": 8 | |
| 1032 | }, |
|
1032 | }, | |
| 1033 | { |
|
1033 | { | |
| 1034 | "cell_type": "code", |
|
1034 | "cell_type": "code", | |
| 1035 | "collapsed": false, |
|
1035 | "collapsed": false, | |
| 1036 | "input": [ |
|
1036 | "input": [ | |
| 1037 | "#!/usr/bin/env python", |
|
1037 | "#!/usr/bin/env python", | |
| 1038 | "", |
|
1038 | "", | |
| 1039 | "# implement the example graphs/integral from pyx", |
|
1039 | "# implement the example graphs/integral from pyx", | |
| 1040 | "from pylab import *", |
|
1040 | "from pylab import *", | |
| 1041 | "from matplotlib.patches import Polygon", |
|
1041 | "from matplotlib.patches import Polygon", | |
| 1042 | "", |
|
1042 | "", | |
| 1043 | "def func(x):", |
|
1043 | "def func(x):", | |
| 1044 | " return (x-3)*(x-5)*(x-7)+85", |
|
1044 | " return (x-3)*(x-5)*(x-7)+85", | |
| 1045 | "", |
|
1045 | "", | |
| 1046 | "ax = subplot(111)", |
|
1046 | "ax = subplot(111)", | |
| 1047 | "", |
|
1047 | "", | |
| 1048 | "a, b = 2, 9 # integral area", |
|
1048 | "a, b = 2, 9 # integral area", | |
| 1049 | "x = arange(0, 10, 0.01)", |
|
1049 | "x = arange(0, 10, 0.01)", | |
| 1050 | "y = func(x)", |
|
1050 | "y = func(x)", | |
| 1051 | "plot(x, y, linewidth=1)", |
|
1051 | "plot(x, y, linewidth=1)", | |
| 1052 | "", |
|
1052 | "", | |
| 1053 | "# make the shaded region", |
|
1053 | "# make the shaded region", | |
| 1054 | "ix = arange(a, b, 0.01)", |
|
1054 | "ix = arange(a, b, 0.01)", | |
| 1055 | "iy = func(ix)", |
|
1055 | "iy = func(ix)", | |
| 1056 | "verts = [(a,0)] + zip(ix,iy) + [(b,0)]", |
|
1056 | "verts = [(a,0)] + zip(ix,iy) + [(b,0)]", | |
| 1057 | "poly = Polygon(verts, facecolor='0.8', edgecolor='k')", |
|
1057 | "poly = Polygon(verts, facecolor='0.8', edgecolor='k')", | |
| 1058 | "ax.add_patch(poly)", |
|
1058 | "ax.add_patch(poly)", | |
| 1059 | "", |
|
1059 | "", | |
| 1060 | "text(0.5 * (a + b), 30,", |
|
1060 | "text(0.5 * (a + b), 30,", | |
| 1061 | " r\"$\\int_a^b f(x)\\mathrm{d}x$\", horizontalalignment='center',", |
|
1061 | " r\"$\\int_a^b f(x)\\mathrm{d}x$\", horizontalalignment='center',", | |
| 1062 | " fontsize=20)", |
|
1062 | " fontsize=20)", | |
| 1063 | "", |
|
1063 | "", | |
| 1064 | "axis([0,10, 0, 180])", |
|
1064 | "axis([0,10, 0, 180])", | |
| 1065 | "figtext(0.9, 0.05, 'x')", |
|
1065 | "figtext(0.9, 0.05, 'x')", | |
| 1066 | "figtext(0.1, 0.9, 'y')", |
|
1066 | "figtext(0.1, 0.9, 'y')", | |
| 1067 | "ax.set_xticks((a,b))", |
|
1067 | "ax.set_xticks((a,b))", | |
| 1068 | "ax.set_xticklabels(('a','b'))", |
|
1068 | "ax.set_xticklabels(('a','b'))", | |
| 1069 | "ax.set_yticks([])", |
|
1069 | "ax.set_yticks([])", | |
| 1070 | "show()" |
|
1070 | "show()" | |
| 1071 | ], |
|
1071 | ], | |
| 1072 | "language": "python", |
|
1072 | "language": "python", | |
| 1073 | "outputs": [ |
|
1073 | "outputs": [ | |
| 1074 | { |
|
1074 | { | |
| 1075 | "output_type": "display_data", |
|
1075 | "output_type": "display_data", | |
| 1076 | "png": 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1076 | "png": 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71+rG3tNPP+3EaqS2zNLpGjq9sGQJWK2O3WfScF1cLubKTlfELAzrdIuLYfJk\nx6PUtUSsYUtLS8PPz8/lmyLEvanTrcT8+dChA+gJJw1bVlYWeXl5dO7c+dIuKxF3Zkine/asY6vv\nqlVGjC516eLJYj169DC4EmnotDmiAn/+M/zmN1AHm5PEYBdDt492vUgdMMP0Qp13useOwbvvQnJy\nXY8sRkhOTqZx48Yu2xQhYjZ13unOmgUjR0KrVnU9stS1/Px8du7cSe/evY0uRdyEOt2rHD4MCxfC\nhU+c0sBt3ryZ0tJSBgwYYHQp4gY0p1uGl1+GMWOgGk8xERN59913GT58+KWDupcuXUpkZCS33HKL\nwZWJu1Cne5n9+x3HNl44y1oaoB9++AGLxYLFYuHIkSNs3LiRF198scwjFkWcTZ3uVaZNczwVIiys\nrkaUujZ48GBat25NSkoKEyZMoF27duUesSjibGbZHFEnne7u3fDNNzBvXl2MJkYZNmwY2dnZjB8/\nnh49ejBlypRyuw+73c6iRYsICQnh1KlTHD58mIcffphWusMqDVydhO6f/gQTJkBwcF2MJkYJCgoi\nISGBhISESl87f/58QkNDueuuuzh79izDhg3j+eefr4MqpaFSp3tBSgr897+OQ8pFAI4ePcrixYv5\nv//7P8DxVInu3bsbXJVI3XD5nO7MmfD00xAY6OqRxCw2b95MbGwsfn5+AGzatImePXuSl5dncGVi\ndmbodF0auvv3w8qV8MQTrhxFzCY8PJxmzZoBjg0Uq1evpkuXLnz77bcGVyZm5/ahO2sWPP44hIS4\nchQxmz59+hAREcG3335LWloaw4YNY9WqVURHRxtdmpiYWZaMuWxO99AhWLrU8dBJkct5enpe8fTc\nrl27GliNNCRu3en++c/wP/+jdbkiUjfcutPNzHQ8aDIlxRVXFxEpm9t2uq+9Bg8/DBfulYiIuJzb\ndrqnTsGHH8LOnc6+soiI+Tm9033rLRg2DFq2dPaVRUTK55adbkGBI3S/+86ZVxURqTq73V6vA9ip\nne6CBdCnD3Ts6Myriog0HE7rdEtLHTfQPvzQWVcUEamei4feuEWn+8UXEB4O/fs764oiIg2PU0LX\nbodXX4WEBKjHv2Bq5fTp00aXICKVsFgsfFfPbyo5JXTXrYMzZ+Duu51xtfpJoStiDm4RurNnOw4p\n9/R0xtVERGqmPs/lXlTrG2l79sDmzfDpp84op35at24d+/btY+LEiUaXIiIVsNlsRpdQKYu9gs3K\nZvitISI7IbFgAAABr0lEQVRSH5UXrRV2umY4PEJExEzq7BHsIiKi0BURqVMK3UrEx8fTo0cPbrrp\nJj7//HOjyxGRMmRkZBAbG2t0GVXi8kewm90HH3xAaGgoubm5DBo0iPj4eKNLEhETU6dbiX/961/c\nfPPN9O/fn/T0dLZv3250SSJSBpvNxqhRo+jYsSPTpk2jqKjI6JLKpNCtQHp6OvPnz2fJkiXs2LGD\ntm3bcvbsWaPLEpEy7Nmzh7vuuott27axfft2li9fbnRJZVLoViAzM5Pw8HDCwsL4/vvvSU5ONrok\nESlHSEgI8fHx+Pr6Mnz4cL7++mujSyqT5nQrcOONNxIdHU3Hjh3p3LkzQ4YMMbokETE5hW4lPvjg\nA6NLEJEqyMnJ4YsvvuD222/nk08+Yfjw4UaXVCZNL4iI6VksFjp06EBiYiJxcXF07tyZO++80+iy\nylTh2QsiIuJc6nRFROqQQldEpA4pdEVE6pBCV0TEyTZv3kzXrl0pKiri/PnzdO7cmd27dwO6kSYi\n4hIvvPAChYWFFBQU0Lp1ayZNmgQodEVEXMJqtXLDDTfg5+fHhg0bLj2J5/8B9qXioKa743wAAAAA\nSUVORK5CYII=\n" | |
| 1077 | } |
|
1077 | } | |
| 1078 | ], |
|
1078 | ], | |
| 1079 | "prompt_number": 9 |
|
1079 | "prompt_number": 9 | |
| 1080 | }, |
|
1080 | }, | |
| 1081 | { |
|
1081 | { | |
| 1082 | "cell_type": "code", |
|
1082 | "cell_type": "code", | |
| 1083 | "collapsed": true, |
|
1083 | "collapsed": true, | |
| 1084 | "input": [ |
|
1084 | "input": [ | |
| 1085 | "" |
|
1085 | "" | |
| 1086 | ], |
|
1086 | ], | |
| 1087 | "language": "python", |
|
1087 | "language": "python", | |
| 1088 | "outputs": [] |
|
1088 | "outputs": [] | |
| 1089 | } |
|
1089 | } | |
| 1090 | ] |
|
1090 | ] | |
| 1091 | } |
|
1091 | } | |
| 1092 | ] |
|
1092 | ] | |
| 1093 | } |
|
1093 | } | |
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