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Fixing broken logo links.
Brian E. Granger -
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1 {
1 {
2 "metadata": {
2 "metadata": {
3 "name": "",
3 "name": "",
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8 "worksheets": [
8 "worksheets": [
9 {
9 {
10 "cells": [
10 "cells": [
11 {
11 {
12 "cell_type": "heading",
12 "cell_type": "heading",
13 "level": 1,
13 "level": 1,
14 "metadata": {},
14 "metadata": {},
15 "source": [
15 "source": [
16 "IPython's Rich Display System"
16 "IPython's Rich Display System"
17 ]
17 ]
18 },
18 },
19 {
19 {
20 "cell_type": "markdown",
20 "cell_type": "markdown",
21 "metadata": {},
21 "metadata": {},
22 "source": [
22 "source": [
23 "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
23 "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
24 "\n",
24 "\n",
25 "* HTML\n",
25 "* HTML\n",
26 "* JSON\n",
26 "* JSON\n",
27 "* PNG\n",
27 "* PNG\n",
28 "* JPEG\n",
28 "* JPEG\n",
29 "* SVG\n",
29 "* SVG\n",
30 "* LaTeX\n",
30 "* LaTeX\n",
31 "\n",
31 "\n",
32 "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks."
32 "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks."
33 ]
33 ]
34 },
34 },
35 {
35 {
36 "cell_type": "heading",
36 "cell_type": "heading",
37 "level": 2,
37 "level": 2,
38 "metadata": {},
38 "metadata": {},
39 "source": [
39 "source": [
40 "Basic display imports"
40 "Basic display imports"
41 ]
41 ]
42 },
42 },
43 {
43 {
44 "cell_type": "markdown",
44 "cell_type": "markdown",
45 "metadata": {},
45 "metadata": {},
46 "source": [
46 "source": [
47 "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations."
47 "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations."
48 ]
48 ]
49 },
49 },
50 {
50 {
51 "cell_type": "code",
51 "cell_type": "code",
52 "collapsed": false,
52 "collapsed": false,
53 "input": [
53 "input": [
54 "from IPython.display import display"
54 "from IPython.display import display"
55 ],
55 ],
56 "language": "python",
56 "language": "python",
57 "metadata": {},
57 "metadata": {},
58 "outputs": [],
58 "outputs": [],
59 "prompt_number": 1
59 "prompt_number": 1
60 },
60 },
61 {
61 {
62 "cell_type": "markdown",
62 "cell_type": "markdown",
63 "metadata": {},
63 "metadata": {},
64 "source": [
64 "source": [
65 "A few points:\n",
65 "A few points:\n",
66 "\n",
66 "\n",
67 "* Calling `display` on an object will send **all** possible representations to the Notebook.\n",
67 "* Calling `display` on an object will send **all** possible representations to the Notebook.\n",
68 "* These representations are stored in the Notebook document.\n",
68 "* These representations are stored in the Notebook document.\n",
69 "* In general the Notebook will use the richest available representation.\n",
69 "* In general the Notebook will use the richest available representation.\n",
70 "\n",
70 "\n",
71 "If you want to display a particular representation, there are specific functions for that:"
71 "If you want to display a particular representation, there are specific functions for that:"
72 ]
72 ]
73 },
73 },
74 {
74 {
75 "cell_type": "code",
75 "cell_type": "code",
76 "collapsed": false,
76 "collapsed": false,
77 "input": [
77 "input": [
78 "from IPython.display import display_pretty, display_html, display_jpeg, display_png, display_json, display_latex, display_svg"
78 "from IPython.display import display_pretty, display_html, display_jpeg, display_png, display_json, display_latex, display_svg"
79 ],
79 ],
80 "language": "python",
80 "language": "python",
81 "metadata": {},
81 "metadata": {},
82 "outputs": [],
82 "outputs": [],
83 "prompt_number": 2
83 "prompt_number": 2
84 },
84 },
85 {
85 {
86 "cell_type": "heading",
86 "cell_type": "heading",
87 "level": 2,
87 "level": 2,
88 "metadata": {},
88 "metadata": {},
89 "source": [
89 "source": [
90 "Images"
90 "Images"
91 ]
91 ]
92 },
92 },
93 {
93 {
94 "cell_type": "markdown",
94 "cell_type": "markdown",
95 "metadata": {},
95 "metadata": {},
96 "source": [
96 "source": [
97 "To work with images (JPEG, PNG) use the `Image` class."
97 "To work with images (JPEG, PNG) use the `Image` class."
98 ]
98 ]
99 },
99 },
100 {
100 {
101 "cell_type": "code",
101 "cell_type": "code",
102 "collapsed": false,
102 "collapsed": false,
103 "input": [
103 "input": [
104 "from IPython.display import Image"
104 "from IPython.display import Image"
105 ],
105 ],
106 "language": "python",
106 "language": "python",
107 "metadata": {},
107 "metadata": {},
108 "outputs": [],
108 "outputs": [],
109 "prompt_number": 3
109 "prompt_number": 3
110 },
110 },
111 {
111 {
112 "cell_type": "code",
112 "cell_type": "code",
113 "collapsed": false,
113 "collapsed": false,
114 "input": [
114 "input": [
115 "i = Image(filename='images/logo.png')"
115 "i = Image(filename='../images/ipython_logo.png')"
116 ],
116 ],
117 "language": "python",
117 "language": "python",
118 "metadata": {},
118 "metadata": {},
119 "outputs": [],
119 "outputs": [],
120 "prompt_number": 6
120 "prompt_number": 5
121 },
121 },
122 {
122 {
123 "cell_type": "markdown",
123 "cell_type": "markdown",
124 "metadata": {},
124 "metadata": {},
125 "source": [
125 "source": [
126 "Returning an `Image` object from an expression will automatically display it:"
126 "Returning an `Image` object from an expression will automatically display it:"
127 ]
127 ]
128 },
128 },
129 {
129 {
130 "cell_type": "code",
130 "cell_type": "code",
131 "collapsed": false,
131 "collapsed": false,
132 "input": [
132 "input": [
133 "i"
133 "i"
134 ],
134 ],
135 "language": "python",
135 "language": "python",
136 "metadata": {},
136 "metadata": {},
137 "outputs": [
137 "outputs": [
138 {
138 {
139 "metadata": {},
139 "metadata": {},
140 "output_type": "pyout",
140 "output_type": "pyout",
141 "png": 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141 "png": 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142 "prompt_number": 7,
142 "prompt_number": 6,
143 "text": [
143 "text": [
144 "<IPython.core.display.Image at 0x106f6e410>"
144 "<IPython.core.display.Image at 0x106a91e10>"
145 ]
145 ]
146 }
146 }
147 ],
147 ],
148 "prompt_number": 7
148 "prompt_number": 6
149 },
149 },
150 {
150 {
151 "cell_type": "markdown",
151 "cell_type": "markdown",
152 "metadata": {},
152 "metadata": {},
153 "source": [
153 "source": [
154 "Or you can pass it to `display`:"
154 "Or you can pass it to `display`:"
155 ]
155 ]
156 },
156 },
157 {
157 {
158 "cell_type": "code",
158 "cell_type": "code",
159 "collapsed": false,
159 "collapsed": false,
160 "input": [
160 "input": [
161 "display(i)"
161 "display(i)"
162 ],
162 ],
163 "language": "python",
163 "language": "python",
164 "metadata": {},
164 "metadata": {},
165 "outputs": [
165 "outputs": [
166 {
166 {
167 "metadata": {},
167 "metadata": {},
168 "output_type": "display_data",
168 "output_type": "display_data",
169 "png": 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169 "png": 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170 "text": [
170 "text": [
171 "<IPython.core.display.Image at 0x106f6e410>"
171 "<IPython.core.display.Image at 0x106a91e10>"
172 ]
172 ]
173 }
173 }
174 ],
174 ],
175 "prompt_number": 8
175 "prompt_number": 7
176 },
176 },
177 {
177 {
178 "cell_type": "markdown",
178 "cell_type": "markdown",
179 "metadata": {},
179 "metadata": {},
180 "source": [
180 "source": [
181 "An image can also be displayed from raw data or a url"
181 "An image can also be displayed from raw data or a url"
182 ]
182 ]
183 },
183 },
184 {
184 {
185 "cell_type": "code",
185 "cell_type": "code",
186 "collapsed": false,
186 "collapsed": false,
187 "input": [
187 "input": [
188 "Image(url='http://python.org/images/python-logo.gif')"
188 "Image(url='http://python.org/images/python-logo.gif')"
189 ],
189 ],
190 "language": "python",
190 "language": "python",
191 "metadata": {},
191 "metadata": {},
192 "outputs": [
192 "outputs": [
193 {
193 {
194 "html": [
194 "html": [
195 "<img src=\"http://python.org/images/python-logo.gif\"/>"
195 "<img src=\"http://python.org/images/python-logo.gif\"/>"
196 ],
196 ],
197 "metadata": {},
197 "metadata": {},
198 "output_type": "pyout",
198 "output_type": "pyout",
199 "prompt_number": 9,
199 "prompt_number": 8,
200 "text": [
200 "text": [
201 "<IPython.core.display.Image at 0x106f6edd0>"
201 "<IPython.core.display.Image at 0x107005150>"
202 ]
202 ]
203 }
203 }
204 ],
204 ],
205 "prompt_number": 9
205 "prompt_number": 8
206 },
206 },
207 {
207 {
208 "cell_type": "markdown",
208 "cell_type": "markdown",
209 "metadata": {},
209 "metadata": {},
210 "source": [
210 "source": [
211 "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
211 "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
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 "from IPython.display import SVG\n",
218 "from IPython.display import SVG\n",
219 "SVG(filename='images/python-logo.svg')"
219 "SVG(filename='images/python_logo.svg')"
220 ],
220 ],
221 "language": "python",
221 "language": "python",
222 "metadata": {},
222 "metadata": {},
223 "outputs": [
223 "outputs": [
224 {
224 {
225 "metadata": {},
225 "metadata": {},
226 "output_type": "pyout",
226 "output_type": "pyout",
227 "prompt_number": 11,
227 "prompt_number": 9,
228 "svg": [
228 "svg": [
229 "<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\">\n",
229 "<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\">\n",
230 " <metadata id=\"metadata2193\">\n",
230 " <metadata id=\"metadata2193\">\n",
231 " <rdf:RDF>\n",
231 " <rdf:RDF>\n",
232 " <cc:Work rdf:about=\"\">\n",
232 " <cc:Work rdf:about=\"\">\n",
233 " <dc:format>image/svg+xml</dc:format>\n",
233 " <dc:format>image/svg+xml</dc:format>\n",
234 " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
234 " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
235 " </cc:Work>\n",
235 " </cc:Work>\n",
236 " </rdf:RDF>\n",
236 " </rdf:RDF>\n",
237 " </metadata>\n",
237 " </metadata>\n",
238 " <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>\n",
238 " <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>\n",
239 " <defs id=\"defs4\">\n",
239 " <defs id=\"defs4\">\n",
240 " <linearGradient id=\"linearGradient2795\">\n",
240 " <linearGradient id=\"linearGradient2795\">\n",
241 " <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>\n",
241 " <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>\n",
242 " <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>\n",
242 " <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>\n",
243 " </linearGradient>\n",
243 " </linearGradient>\n",
244 " <linearGradient id=\"linearGradient2787\">\n",
244 " <linearGradient id=\"linearGradient2787\">\n",
245 " <stop id=\"stop2789\" offset=\"0\" style=\"stop-color:#7f7f7f;stop-opacity:0.5\"/>\n",
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288 " </g>\n",
288 " </g>\n",
289 "</svg>"
289 "</svg>"
290 ],
290 ],
291 "text": [
291 "text": [
292 "<IPython.core.display.SVG at 0x106f6e850>"
292 "<IPython.core.display.SVG at 0x107005250>"
293 ]
293 ]
294 }
294 }
295 ],
295 ],
296 "prompt_number": 11
296 "prompt_number": 9
297 },
297 },
298 {
298 {
299 "cell_type": "heading",
299 "cell_type": "heading",
300 "level": 2,
300 "level": 2,
301 "metadata": {},
301 "metadata": {},
302 "source": [
302 "source": [
303 "Links to local files"
303 "Links to local files"
304 ]
304 ]
305 },
305 },
306 {
306 {
307 "cell_type": "markdown",
307 "cell_type": "markdown",
308 "metadata": {},
308 "metadata": {},
309 "source": [
309 "source": [
310 "If we want to create a link to one of them, we can call use the `FileLink` object."
310 "If we want to create a link to one of them, we can call use the `FileLink` object."
311 ]
311 ]
312 },
312 },
313 {
313 {
314 "cell_type": "code",
314 "cell_type": "code",
315 "collapsed": false,
315 "collapsed": false,
316 "input": [
316 "input": [
317 "from IPython.display import FileLink, FileLinks\n",
317 "from IPython.display import FileLink, FileLinks\n",
318 "FileLink('Running Code.ipynb')"
318 "FileLink('Running Code.ipynb')"
319 ],
319 ],
320 "language": "python",
320 "language": "python",
321 "metadata": {},
321 "metadata": {},
322 "outputs": [
322 "outputs": [
323 {
323 {
324 "html": [
324 "html": [
325 "<a href='Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>"
325 "<a href='Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>"
326 ],
326 ],
327 "metadata": {},
327 "metadata": {},
328 "output_type": "pyout",
328 "output_type": "pyout",
329 "prompt_number": 12,
329 "prompt_number": 10,
330 "text": [
330 "text": [
331 "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Tutorials/Running Code.ipynb"
331 "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Running Code.ipynb"
332 ]
332 ]
333 }
333 }
334 ],
334 ],
335 "prompt_number": 12
335 "prompt_number": 10
336 },
336 },
337 {
337 {
338 "cell_type": "markdown",
338 "cell_type": "markdown",
339 "metadata": {},
339 "metadata": {},
340 "source": [
340 "source": [
341 "Alternatively, if we want to link to all of the files in a directory, we can use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
341 "Alternatively, if we want to link to all of the files in a directory, we can use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
342 ]
342 ]
343 },
343 },
344 {
344 {
345 "cell_type": "code",
345 "cell_type": "code",
346 "collapsed": false,
346 "collapsed": false,
347 "input": [
347 "input": [
348 "FileLinks('.')"
348 "FileLinks('.')"
349 ],
349 ],
350 "language": "python",
350 "language": "python",
351 "metadata": {},
351 "metadata": {},
352 "outputs": [
352 "outputs": [
353 {
353 {
354 "html": [
354 "html": [
355 "./<br>\n",
355 "./<br>\n",
356 "&nbsp;&nbsp;<a href='./Animations Using clear_output.ipynb' target='_blank'>Animations Using clear_output.ipynb</a><br>\n",
356 "&nbsp;&nbsp;<a href='./Basic Output.ipynb' target='_blank'>Basic Output.ipynb</a><br>\n",
357 "&nbsp;&nbsp;<a href='./Basic Output.ipynb' target='_blank'>Basic Output.ipynb</a><br>\n",
358 "&nbsp;&nbsp;<a href='./Connecting with the Qt Console.ipynb' target='_blank'>Connecting with the Qt Console.ipynb</a><br>\n",
357 "&nbsp;&nbsp;<a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
359 "&nbsp;&nbsp;<a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
358 "&nbsp;&nbsp;<a href='./Display System.ipynb' target='_blank'>Display System.ipynb</a><br>\n",
360 "&nbsp;&nbsp;<a href='./Display System.ipynb' target='_blank'>Display System.ipynb</a><br>\n",
361 "&nbsp;&nbsp;<a href='./Importing Notebooks.ipynb' target='_blank'>Importing Notebooks.ipynb</a><br>\n",
362 "&nbsp;&nbsp;<a href='./Index.ipynb' target='_blank'>Index.ipynb</a><br>\n",
359 "&nbsp;&nbsp;<a href='./Markdown Cells.ipynb' target='_blank'>Markdown Cells.ipynb</a><br>\n",
363 "&nbsp;&nbsp;<a href='./Markdown Cells.ipynb' target='_blank'>Markdown Cells.ipynb</a><br>\n",
360 "&nbsp;&nbsp;<a href='./Plotting with Matplotlib.ipynb' target='_blank'>Plotting with Matplotlib.ipynb</a><br>\n",
364 "&nbsp;&nbsp;<a href='./Plotting with Matplotlib.ipynb' target='_blank'>Plotting with Matplotlib.ipynb</a><br>\n",
365 "&nbsp;&nbsp;<a href='./Progress Bars.ipynb' target='_blank'>Progress Bars.ipynb</a><br>\n",
366 "&nbsp;&nbsp;<a href='./Raw Input.ipynb' target='_blank'>Raw Input.ipynb</a><br>\n",
361 "&nbsp;&nbsp;<a href='./Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>\n",
367 "&nbsp;&nbsp;<a href='./Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>\n",
368 "&nbsp;&nbsp;<a href='./SymPy.ipynb' target='_blank'>SymPy.ipynb</a><br>\n",
369 "&nbsp;&nbsp;<a href='./Trapezoid Rule.ipynb' target='_blank'>Trapezoid Rule.ipynb</a><br>\n",
362 "&nbsp;&nbsp;<a href='./Typesetting Math Using MathJax.ipynb' target='_blank'>Typesetting Math Using MathJax.ipynb</a><br>\n",
370 "&nbsp;&nbsp;<a href='./Typesetting Math Using MathJax.ipynb' target='_blank'>Typesetting Math Using MathJax.ipynb</a><br>\n",
363 "&nbsp;&nbsp;<a href='./User Interface.ipynb' target='_blank'>User Interface.ipynb</a><br>\n",
371 "&nbsp;&nbsp;<a href='./User Interface.ipynb' target='_blank'>User Interface.ipynb</a><br>\n",
364 "./images/<br>\n",
372 "./images/<br>\n",
365 "&nbsp;&nbsp;<a href='./images/animation.m4v' target='_blank'>animation.m4v</a><br>\n",
373 "&nbsp;&nbsp;<a href='./images/animation.m4v' target='_blank'>animation.m4v</a><br>\n",
366 "&nbsp;&nbsp;<a href='./images/command_mode.png' target='_blank'>command_mode.png</a><br>\n",
374 "&nbsp;&nbsp;<a href='./images/command_mode.png' target='_blank'>command_mode.png</a><br>\n",
367 "&nbsp;&nbsp;<a href='./images/edit_mode.png' target='_blank'>edit_mode.png</a><br>\n",
375 "&nbsp;&nbsp;<a href='./images/edit_mode.png' target='_blank'>edit_mode.png</a><br>\n",
368 "&nbsp;&nbsp;<a href='./images/logo.png' target='_blank'>logo.png</a><br>\n",
369 "&nbsp;&nbsp;<a href='./images/menubar_toolbar.png' target='_blank'>menubar_toolbar.png</a><br>\n",
376 "&nbsp;&nbsp;<a href='./images/menubar_toolbar.png' target='_blank'>menubar_toolbar.png</a><br>\n",
370 "&nbsp;&nbsp;<a href='./images/python-logo.svg' target='_blank'>python-logo.svg</a><br>"
377 "&nbsp;&nbsp;<a href='./images/python_logo.svg' target='_blank'>python_logo.svg</a><br>\n",
378 "./nbpackage/<br>\n",
379 "&nbsp;&nbsp;<a href='./nbpackage/__init__.py' target='_blank'>__init__.py</a><br>\n",
380 "&nbsp;&nbsp;<a href='./nbpackage/mynotebook.ipynb' target='_blank'>mynotebook.ipynb</a><br>\n",
381 "./nbpackage/nbs/<br>\n",
382 "&nbsp;&nbsp;<a href='./nbpackage/nbs/__init__.py' target='_blank'>__init__.py</a><br>\n",
383 "&nbsp;&nbsp;<a href='./nbpackage/nbs/other.ipynb' target='_blank'>other.ipynb</a><br>"
371 ],
384 ],
372 "metadata": {},
385 "metadata": {},
373 "output_type": "pyout",
386 "output_type": "pyout",
374 "prompt_number": 14,
387 "prompt_number": 11,
375 "text": [
388 "text": [
376 "./\n",
389 "./\n",
390 " Animations Using clear_output.ipynb\n",
377 " Basic Output.ipynb\n",
391 " Basic Output.ipynb\n",
392 " Connecting with the Qt Console.ipynb\n",
378 " Custom Display Logic.ipynb\n",
393 " Custom Display Logic.ipynb\n",
379 " Display System.ipynb\n",
394 " Display System.ipynb\n",
395 " Importing Notebooks.ipynb\n",
396 " Index.ipynb\n",
380 " Markdown Cells.ipynb\n",
397 " Markdown Cells.ipynb\n",
381 " Plotting with Matplotlib.ipynb\n",
398 " Plotting with Matplotlib.ipynb\n",
399 " Progress Bars.ipynb\n",
400 " Raw Input.ipynb\n",
382 " Running Code.ipynb\n",
401 " Running Code.ipynb\n",
402 " SymPy.ipynb\n",
403 " Trapezoid Rule.ipynb\n",
383 " Typesetting Math Using MathJax.ipynb\n",
404 " Typesetting Math Using MathJax.ipynb\n",
384 " User Interface.ipynb\n",
405 " User Interface.ipynb\n",
385 "./images/\n",
406 "./images/\n",
386 " animation.m4v\n",
407 " animation.m4v\n",
387 " command_mode.png\n",
408 " command_mode.png\n",
388 " edit_mode.png\n",
409 " edit_mode.png\n",
389 " logo.png\n",
390 " menubar_toolbar.png\n",
410 " menubar_toolbar.png\n",
391 " python-logo.svg"
411 " python_logo.svg\n",
412 "./nbpackage/\n",
413 " __init__.py\n",
414 " mynotebook.ipynb\n",
415 "./nbpackage/nbs/\n",
416 " __init__.py\n",
417 " other.ipynb"
392 ]
418 ]
393 }
419 }
394 ],
420 ],
395 "prompt_number": 14
421 "prompt_number": 11
396 },
422 },
397 {
423 {
398 "cell_type": "heading",
424 "cell_type": "heading",
399 "level": 3,
425 "level": 3,
400 "metadata": {},
426 "metadata": {},
401 "source": [
427 "source": [
402 "Embedded vs Non-embedded Images"
428 "Embedded vs Non-embedded Images"
403 ]
429 ]
404 },
430 },
405 {
431 {
406 "cell_type": "markdown",
432 "cell_type": "markdown",
407 "metadata": {},
433 "metadata": {},
408 "source": [
434 "source": [
409 "By default, image data is embedded in the Notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
435 "By default, image data is embedded in the Notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
410 ]
436 ]
411 },
437 },
412 {
438 {
413 "cell_type": "code",
439 "cell_type": "code",
414 "collapsed": false,
440 "collapsed": false,
415 "input": [
441 "input": [
416 "from IPython.display import Image\n",
442 "from IPython.display import Image\n",
417 "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
443 "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
418 "\n",
444 "\n",
419 "# by default Image data are embedded\n",
445 "# by default Image data are embedded\n",
420 "Embed = Image(img_url)\n",
446 "Embed = Image(img_url)\n",
421 "\n",
447 "\n",
422 "# if kwarg `url` is given, the embedding is assumed to be false\n",
448 "# if kwarg `url` is given, the embedding is assumed to be false\n",
423 "SoftLinked = Image(url=img_url)\n",
449 "SoftLinked = Image(url=img_url)\n",
424 "\n",
450 "\n",
425 "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
451 "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
426 "# ForceEmbed = Image(url=img_url, embed=True)"
452 "# ForceEmbed = Image(url=img_url, embed=True)"
427 ],
453 ],
428 "language": "python",
454 "language": "python",
429 "metadata": {},
455 "metadata": {},
430 "outputs": [],
456 "outputs": [],
431 "prompt_number": 15
457 "prompt_number": 12
432 },
458 },
433 {
459 {
434 "cell_type": "markdown",
460 "cell_type": "markdown",
435 "metadata": {},
461 "metadata": {},
436 "source": [
462 "source": [
437 "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image."
463 "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image."
438 ]
464 ]
439 },
465 },
440 {
466 {
441 "cell_type": "code",
467 "cell_type": "code",
442 "collapsed": false,
468 "collapsed": false,
443 "input": [
469 "input": [
444 "Embed"
470 "Embed"
445 ],
471 ],
446 "language": "python",
472 "language": "python",
447 "metadata": {},
473 "metadata": {},
448 "outputs": [
474 "outputs": [
449 {
475 {
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7KWykgFPalszWrIbso7KrAGygUpCwFKbs9qiAUNNK+2KiBs88U0rU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jEVSuRsdHdEaXrd/NaadaX0ht4TJI1sjTSDvj5VBO3JAz3FUdUuItJ6hm6ehd2WOBVMKbgfFJH3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\nPAgjYkZGQyKMcj9fWraQvk6N7rZ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ahzq+lu8VqInS3fVsHvFEGG7xU4bvFVE4bvFHpd4oqfS7xU4bv+ND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\nIAK7yOGnUDxzwzXk8M8eTWM6ZcQz7Oiuo1KvGuDqjMjbuHA13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451 "metadata": {},
477 "metadata": {},
452 "output_type": "pyout",
478 "output_type": "pyout",
453 "prompt_number": 16,
479 "prompt_number": 13,
454 "text": [
480 "text": [
455 "<IPython.core.display.Image at 0x1069570d0>"
481 "<IPython.core.display.Image at 0x1068d0a10>"
456 ]
482 ]
457 }
483 }
458 ],
484 ],
459 "prompt_number": 16
485 "prompt_number": 13
460 },
486 },
461 {
487 {
462 "cell_type": "markdown",
488 "cell_type": "markdown",
463 "metadata": {},
489 "metadata": {},
464 "source": [
490 "source": [
465 "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks 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."
491 "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks 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."
466 ]
492 ]
467 },
493 },
468 {
494 {
469 "cell_type": "code",
495 "cell_type": "code",
470 "collapsed": false,
496 "collapsed": false,
471 "input": [
497 "input": [
472 "SoftLinked"
498 "SoftLinked"
473 ],
499 ],
474 "language": "python",
500 "language": "python",
475 "metadata": {},
501 "metadata": {},
476 "outputs": [
502 "outputs": [
477 {
503 {
478 "html": [
504 "html": [
479 "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
505 "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
480 ],
506 ],
481 "metadata": {},
507 "metadata": {},
482 "output_type": "pyout",
508 "output_type": "pyout",
483 "prompt_number": 17,
509 "prompt_number": 14,
484 "text": [
510 "text": [
485 "<IPython.core.display.Image at 0x106fd9110>"
511 "<IPython.core.display.Image at 0x106ab19d0>"
486 ]
512 ]
487 }
513 }
488 ],
514 ],
489 "prompt_number": 17
515 "prompt_number": 14
490 },
516 },
491 {
517 {
492 "cell_type": "markdown",
518 "cell_type": "markdown",
493 "metadata": {},
519 "metadata": {},
494 "source": [
520 "source": [
495 "Of course, if you re-run this Notebook, the two images will be the same again."
521 "Of course, if you re-run this Notebook, the two images will be the same again."
496 ]
522 ]
497 },
523 },
498 {
524 {
499 "cell_type": "heading",
525 "cell_type": "heading",
500 "level": 2,
526 "level": 2,
501 "metadata": {},
527 "metadata": {},
502 "source": [
528 "source": [
503 "Audio"
529 "Audio"
504 ]
530 ]
505 },
531 },
506 {
532 {
507 "cell_type": "markdown",
533 "cell_type": "markdown",
508 "metadata": {},
534 "metadata": {},
509 "source": [
535 "source": [
510 "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
536 "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
511 ]
537 ]
512 },
538 },
513 {
539 {
514 "cell_type": "code",
540 "cell_type": "code",
515 "collapsed": false,
541 "collapsed": false,
516 "input": [
542 "input": [
517 "from IPython.display import Audio\n",
543 "from IPython.display import Audio\n",
518 "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
544 "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
519 ],
545 ],
520 "language": "python",
546 "language": "python",
521 "metadata": {},
547 "metadata": {},
522 "outputs": [
548 "outputs": [
523 {
549 {
524 "html": [
550 "html": [
525 "\n",
551 "\n",
526 " <audio controls=\"controls\" >\n",
552 " <audio controls=\"controls\" >\n",
527 " <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
553 " <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
528 " Your browser does not support the audio element.\n",
554 " Your browser does not support the audio element.\n",
529 " </audio>\n",
555 " </audio>\n",
530 " "
556 " "
531 ],
557 ],
532 "metadata": {},
558 "metadata": {},
533 "output_type": "pyout",
559 "output_type": "pyout",
534 "prompt_number": 18,
560 "prompt_number": 15,
535 "text": [
561 "text": [
536 "<IPython.lib.display.Audio at 0x107056e50>"
562 "<IPython.lib.display.Audio at 0x1070b2510>"
537 ]
563 ]
538 }
564 }
539 ],
565 ],
540 "prompt_number": 18
566 "prompt_number": 15
541 },
567 },
542 {
568 {
543 "cell_type": "markdown",
569 "cell_type": "markdown",
544 "metadata": {},
570 "metadata": {},
545 "source": [
571 "source": [
546 "A Numpy array can be auralized automatically. The Audio class normalizes and encodes the data and embed the result in the Notebook.\n",
572 "A Numpy array can be auralized automatically. The Audio class normalizes and encodes the data and embed the result in the Notebook.\n",
547 "\n",
573 "\n",
548 "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows"
574 "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows"
549 ]
575 ]
550 },
576 },
551 {
577 {
552 "cell_type": "code",
578 "cell_type": "code",
553 "collapsed": false,
579 "collapsed": false,
554 "input": [
580 "input": [
555 "import numpy as np\n",
581 "import numpy as np\n",
556 "max_time = 3\n",
582 "max_time = 3\n",
557 "f1 = 220.0\n",
583 "f1 = 220.0\n",
558 "f2 = 224.0\n",
584 "f2 = 224.0\n",
559 "rate = 8000.0\n",
585 "rate = 8000.0\n",
560 "L = 3\n",
586 "L = 3\n",
561 "times = np.linspace(0,L,rate*L)\n",
587 "times = np.linspace(0,L,rate*L)\n",
562 "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
588 "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
563 "\n",
589 "\n",
564 "Audio(data=signal, rate=rate)"
590 "Audio(data=signal, rate=rate)"
565 ],
591 ],
566 "language": "python",
592 "language": "python",
567 "metadata": {},
593 "metadata": {},
568 "outputs": [
594 "outputs": [
569 {
595 {
570 "html": [
596 "html": [
571 "\n",
597 "\n",
572 " <audio controls=\"controls\" >\n",
598 " <audio controls=\"controls\" >\n",
573 " <source 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\" 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\" type=\"audio/wav\" />\n",
574 " Your browser does not support the audio element.\n",
600 " Your browser does not support the audio element.\n",
575 " </audio>\n",
601 " </audio>\n",
576 " "
602 " "
577 ],
603 ],
578 "metadata": {},
604 "metadata": {},
579 "output_type": "pyout",
605 "output_type": "pyout",
580 "prompt_number": 19,
606 "prompt_number": 16,
581 "text": [
607 "text": [
582 "<IPython.lib.display.Audio at 0x107087e10>"
608 "<IPython.lib.display.Audio at 0x10828a050>"
583 ]
609 ]
584 }
610 }
585 ],
611 ],
586 "prompt_number": 19
612 "prompt_number": 16
587 },
613 },
588 {
614 {
589 "cell_type": "heading",
615 "cell_type": "heading",
590 "level": 2,
616 "level": 2,
591 "metadata": {},
617 "metadata": {},
592 "source": [
618 "source": [
593 "Video"
619 "Video"
594 ]
620 ]
595 },
621 },
596 {
622 {
597 "cell_type": "markdown",
623 "cell_type": "markdown",
598 "metadata": {},
624 "metadata": {},
599 "source": [
625 "source": [
600 "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other hosted content is trivial):"
626 "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other hosted content is trivial):"
601 ]
627 ]
602 },
628 },
603 {
629 {
604 "cell_type": "code",
630 "cell_type": "code",
605 "collapsed": false,
631 "collapsed": false,
606 "input": [
632 "input": [
607 "from IPython.display import YouTubeVideo\n",
633 "from IPython.display import YouTubeVideo\n",
608 "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
634 "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
609 "# Video credit: William Stein.\n",
635 "# Video credit: William Stein.\n",
610 "YouTubeVideo('1j_HxD4iLn8')"
636 "YouTubeVideo('1j_HxD4iLn8')"
611 ],
637 ],
612 "language": "python",
638 "language": "python",
613 "metadata": {},
639 "metadata": {},
614 "outputs": [
640 "outputs": [
615 {
641 {
616 "html": [
642 "html": [
617 "\n",
643 "\n",
618 " <iframe\n",
644 " <iframe\n",
619 " width=\"400\"\n",
645 " width=\"400\"\n",
620 " height=300\"\n",
646 " height=300\"\n",
621 " src=\"https://www.youtube.com/embed/1j_HxD4iLn8\"\n",
647 " src=\"https://www.youtube.com/embed/1j_HxD4iLn8\"\n",
622 " frameborder=\"0\"\n",
648 " frameborder=\"0\"\n",
623 " allowfullscreen\n",
649 " allowfullscreen\n",
624 " ></iframe>\n",
650 " ></iframe>\n",
625 " "
651 " "
626 ],
652 ],
627 "metadata": {},
653 "metadata": {},
628 "output_type": "pyout",
654 "output_type": "pyout",
629 "prompt_number": 20,
655 "prompt_number": 17,
630 "text": [
656 "text": [
631 "<IPython.lib.display.YouTubeVideo at 0x107087310>"
657 "<IPython.lib.display.YouTubeVideo at 0x108313810>"
632 ]
658 ]
633 }
659 }
634 ],
660 ],
635 "prompt_number": 20
661 "prompt_number": 17
636 },
662 },
637 {
663 {
638 "cell_type": "markdown",
664 "cell_type": "markdown",
639 "metadata": {},
665 "metadata": {},
640 "source": [
666 "source": [
641 "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
667 "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
642 "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
668 "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
643 "we will continue testing this and looking for ways to make it more robust. \n",
669 "we will continue testing this and looking for ways to make it more robust. \n",
644 "\n",
670 "\n",
645 "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
671 "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
646 "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n",
672 "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n",
647 "bar at the bottom with a play/pause button and a location slider."
673 "bar at the bottom with a play/pause button and a location slider."
648 ]
674 ]
649 },
675 },
650 {
676 {
651 "cell_type": "code",
677 "cell_type": "code",
652 "collapsed": false,
678 "collapsed": false,
653 "input": [
679 "input": [
654 "from IPython.display import HTML\n",
680 "from IPython.display import HTML\n",
655 "from base64 import b64encode\n",
681 "from base64 import b64encode\n",
656 "video = open(\"images/animation.m4v\", \"rb\").read()\n",
682 "video = open(\"images/animation.m4v\", \"rb\").read()\n",
657 "video_encoded = b64encode(video).decode('ascii')\n",
683 "video_encoded = b64encode(video).decode('ascii')\n",
658 "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
684 "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
659 "HTML(data=video_tag)"
685 "HTML(data=video_tag)"
660 ],
686 ],
661 "language": "python",
687 "language": "python",
662 "metadata": {},
688 "metadata": {},
663 "outputs": [
689 "outputs": [
664 {
690 {
665 "html": [
691 "html": [
666 "<video controls alt=\"test\" 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667 ],
693 ],
668 "metadata": {},
694 "metadata": {},
669 "output_type": "pyout",
695 "output_type": "pyout",
670 "prompt_number": 22,
696 "prompt_number": 18,
671 "text": [
697 "text": [
672 "<IPython.core.display.HTML at 0x107087150>"
698 "<IPython.core.display.HTML at 0x1070b3050>"
673 ]
699 ]
674 }
700 }
675 ],
701 ],
676 "prompt_number": 22
702 "prompt_number": 18
677 },
703 },
678 {
704 {
679 "cell_type": "heading",
705 "cell_type": "heading",
680 "level": 2,
706 "level": 2,
681 "metadata": {},
707 "metadata": {},
682 "source": [
708 "source": [
683 "HTML"
709 "HTML"
684 ]
710 ]
685 },
711 },
686 {
712 {
687 "cell_type": "markdown",
713 "cell_type": "markdown",
688 "metadata": {},
714 "metadata": {},
689 "source": [
715 "source": [
690 "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
716 "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
691 ]
717 ]
692 },
718 },
693 {
719 {
694 "cell_type": "code",
720 "cell_type": "code",
695 "collapsed": false,
721 "collapsed": false,
696 "input": [
722 "input": [
697 "from IPython.display import HTML"
723 "from IPython.display import HTML"
698 ],
724 ],
699 "language": "python",
725 "language": "python",
700 "metadata": {},
726 "metadata": {},
701 "outputs": [],
727 "outputs": [],
702 "prompt_number": 23
728 "prompt_number": 19
703 },
729 },
704 {
730 {
705 "cell_type": "code",
731 "cell_type": "code",
706 "collapsed": false,
732 "collapsed": false,
707 "input": [
733 "input": [
708 "s = \"\"\"<table>\n",
734 "s = \"\"\"<table>\n",
709 "<tr>\n",
735 "<tr>\n",
710 "<th>Header 1</th>\n",
736 "<th>Header 1</th>\n",
711 "<th>Header 2</th>\n",
737 "<th>Header 2</th>\n",
712 "</tr>\n",
738 "</tr>\n",
713 "<tr>\n",
739 "<tr>\n",
714 "<td>row 1, cell 1</td>\n",
740 "<td>row 1, cell 1</td>\n",
715 "<td>row 1, cell 2</td>\n",
741 "<td>row 1, cell 2</td>\n",
716 "</tr>\n",
742 "</tr>\n",
717 "<tr>\n",
743 "<tr>\n",
718 "<td>row 2, cell 1</td>\n",
744 "<td>row 2, cell 1</td>\n",
719 "<td>row 2, cell 2</td>\n",
745 "<td>row 2, cell 2</td>\n",
720 "</tr>\n",
746 "</tr>\n",
721 "</table>\"\"\""
747 "</table>\"\"\""
722 ],
748 ],
723 "language": "python",
749 "language": "python",
724 "metadata": {},
750 "metadata": {},
725 "outputs": [],
751 "outputs": [],
726 "prompt_number": 24
752 "prompt_number": 20
727 },
753 },
728 {
754 {
729 "cell_type": "code",
755 "cell_type": "code",
730 "collapsed": false,
756 "collapsed": false,
731 "input": [
757 "input": [
732 "h = HTML(s); h"
758 "h = HTML(s); h"
733 ],
759 ],
734 "language": "python",
760 "language": "python",
735 "metadata": {},
761 "metadata": {},
736 "outputs": [
762 "outputs": [
737 {
763 {
738 "html": [
764 "html": [
739 "<table>\n",
765 "<table>\n",
740 "<tr>\n",
766 "<tr>\n",
741 "<th>Header 1</th>\n",
767 "<th>Header 1</th>\n",
742 "<th>Header 2</th>\n",
768 "<th>Header 2</th>\n",
743 "</tr>\n",
769 "</tr>\n",
744 "<tr>\n",
770 "<tr>\n",
745 "<td>row 1, cell 1</td>\n",
771 "<td>row 1, cell 1</td>\n",
746 "<td>row 1, cell 2</td>\n",
772 "<td>row 1, cell 2</td>\n",
747 "</tr>\n",
773 "</tr>\n",
748 "<tr>\n",
774 "<tr>\n",
749 "<td>row 2, cell 1</td>\n",
775 "<td>row 2, cell 1</td>\n",
750 "<td>row 2, cell 2</td>\n",
776 "<td>row 2, cell 2</td>\n",
751 "</tr>\n",
777 "</tr>\n",
752 "</table>"
778 "</table>"
753 ],
779 ],
754 "metadata": {},
780 "metadata": {},
755 "output_type": "pyout",
781 "output_type": "pyout",
756 "prompt_number": 25,
782 "prompt_number": 21,
757 "text": [
783 "text": [
758 "<IPython.core.display.HTML at 0x106f6e550>"
784 "<IPython.core.display.HTML at 0x108313a90>"
759 ]
785 ]
760 }
786 }
761 ],
787 ],
762 "prompt_number": 25
788 "prompt_number": 21
763 },
789 },
764 {
790 {
765 "cell_type": "markdown",
791 "cell_type": "markdown",
766 "metadata": {},
792 "metadata": {},
767 "source": [
793 "source": [
768 "Pandas makes use of this capability to allow `DataFrames` to be represented as HTML tables."
794 "Pandas makes use of this capability to allow `DataFrames` to be represented as HTML tables."
769 ]
795 ]
770 },
796 },
771 {
797 {
772 "cell_type": "code",
798 "cell_type": "code",
773 "collapsed": false,
799 "collapsed": false,
774 "input": [
800 "input": [
775 "import pandas"
801 "import pandas"
776 ],
802 ],
777 "language": "python",
803 "language": "python",
778 "metadata": {},
804 "metadata": {},
779 "outputs": [],
805 "outputs": [],
780 "prompt_number": 26
806 "prompt_number": 22
781 },
807 },
782 {
808 {
783 "cell_type": "markdown",
809 "cell_type": "markdown",
784 "metadata": {},
810 "metadata": {},
785 "source": [
811 "source": [
786 "Here is a small amount of stock data for APPL:"
812 "Here is a small amount of stock data for APPL:"
787 ]
813 ]
788 },
814 },
789 {
815 {
790 "cell_type": "code",
816 "cell_type": "code",
791 "collapsed": false,
817 "collapsed": false,
792 "input": [
818 "input": [
793 "%%file data.csv\n",
819 "%%file data.csv\n",
794 "Date,Open,High,Low,Close,Volume,Adj Close\n",
820 "Date,Open,High,Low,Close,Volume,Adj Close\n",
795 "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
821 "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
796 "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
822 "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
797 "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
823 "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
798 "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
824 "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
799 "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
825 "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
800 "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53"
826 "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53"
801 ],
827 ],
802 "language": "python",
828 "language": "python",
803 "metadata": {},
829 "metadata": {},
804 "outputs": [
830 "outputs": [
805 {
831 {
806 "output_type": "stream",
832 "output_type": "stream",
807 "stream": "stdout",
833 "stream": "stdout",
808 "text": [
834 "text": [
809 "Writing data.csv\n"
835 "Writing data.csv\n"
810 ]
836 ]
811 }
837 }
812 ],
838 ],
813 "prompt_number": 27
839 "prompt_number": 23
814 },
840 },
815 {
841 {
816 "cell_type": "markdown",
842 "cell_type": "markdown",
817 "metadata": {},
843 "metadata": {},
818 "source": [
844 "source": [
819 "Read this as into a `DataFrame`:"
845 "Read this as into a `DataFrame`:"
820 ]
846 ]
821 },
847 },
822 {
848 {
823 "cell_type": "code",
849 "cell_type": "code",
824 "collapsed": false,
850 "collapsed": false,
825 "input": [
851 "input": [
826 "df = pandas.read_csv('data.csv')"
852 "df = pandas.read_csv('data.csv')"
827 ],
853 ],
828 "language": "python",
854 "language": "python",
829 "metadata": {},
855 "metadata": {},
830 "outputs": [],
856 "outputs": [],
831 "prompt_number": 28
857 "prompt_number": 24
832 },
858 },
833 {
859 {
834 "cell_type": "markdown",
860 "cell_type": "markdown",
835 "metadata": {},
861 "metadata": {},
836 "source": [
862 "source": [
837 "And view the HTML representation:"
863 "And view the HTML representation:"
838 ]
864 ]
839 },
865 },
840 {
866 {
841 "cell_type": "code",
867 "cell_type": "code",
842 "collapsed": false,
868 "collapsed": false,
843 "input": [
869 "input": [
844 "df"
870 "df"
845 ],
871 ],
846 "language": "python",
872 "language": "python",
847 "metadata": {},
873 "metadata": {},
848 "outputs": [
874 "outputs": [
849 {
875 {
850 "html": [
876 "html": [
851 "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
877 "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
852 "<table border=\"1\" class=\"dataframe\">\n",
878 "<table border=\"1\" class=\"dataframe\">\n",
853 " <thead>\n",
879 " <thead>\n",
854 " <tr style=\"text-align: right;\">\n",
880 " <tr style=\"text-align: right;\">\n",
855 " <th></th>\n",
881 " <th></th>\n",
856 " <th>Date</th>\n",
882 " <th>Date</th>\n",
857 " <th>Open</th>\n",
883 " <th>Open</th>\n",
858 " <th>High</th>\n",
884 " <th>High</th>\n",
859 " <th>Low</th>\n",
885 " <th>Low</th>\n",
860 " <th>Close</th>\n",
886 " <th>Close</th>\n",
861 " <th>Volume</th>\n",
887 " <th>Volume</th>\n",
862 " <th>Adj Close</th>\n",
888 " <th>Adj Close</th>\n",
863 " </tr>\n",
889 " </tr>\n",
864 " </thead>\n",
890 " </thead>\n",
865 " <tbody>\n",
891 " <tbody>\n",
866 " <tr>\n",
892 " <tr>\n",
867 " <th>0</th>\n",
893 " <th>0</th>\n",
868 " <td> 2012-06-01</td>\n",
894 " <td> 2012-06-01</td>\n",
869 " <td> 569.16</td>\n",
895 " <td> 569.16</td>\n",
870 " <td> 590.00</td>\n",
896 " <td> 590.00</td>\n",
871 " <td> 548.50</td>\n",
897 " <td> 548.50</td>\n",
872 " <td> 584.00</td>\n",
898 " <td> 584.00</td>\n",
873 " <td> 14077000</td>\n",
899 " <td> 14077000</td>\n",
874 " <td> 581.50</td>\n",
900 " <td> 581.50</td>\n",
875 " </tr>\n",
901 " </tr>\n",
876 " <tr>\n",
902 " <tr>\n",
877 " <th>1</th>\n",
903 " <th>1</th>\n",
878 " <td> 2012-05-01</td>\n",
904 " <td> 2012-05-01</td>\n",
879 " <td> 584.90</td>\n",
905 " <td> 584.90</td>\n",
880 " <td> 596.76</td>\n",
906 " <td> 596.76</td>\n",
881 " <td> 522.18</td>\n",
907 " <td> 522.18</td>\n",
882 " <td> 577.73</td>\n",
908 " <td> 577.73</td>\n",
883 " <td> 18827900</td>\n",
909 " <td> 18827900</td>\n",
884 " <td> 575.26</td>\n",
910 " <td> 575.26</td>\n",
885 " </tr>\n",
911 " </tr>\n",
886 " <tr>\n",
912 " <tr>\n",
887 " <th>2</th>\n",
913 " <th>2</th>\n",
888 " <td> 2012-04-02</td>\n",
914 " <td> 2012-04-02</td>\n",
889 " <td> 601.83</td>\n",
915 " <td> 601.83</td>\n",
890 " <td> 644.00</td>\n",
916 " <td> 644.00</td>\n",
891 " <td> 555.00</td>\n",
917 " <td> 555.00</td>\n",
892 " <td> 583.98</td>\n",
918 " <td> 583.98</td>\n",
893 " <td> 28759100</td>\n",
919 " <td> 28759100</td>\n",
894 " <td> 581.48</td>\n",
920 " <td> 581.48</td>\n",
895 " </tr>\n",
921 " </tr>\n",
896 " <tr>\n",
922 " <tr>\n",
897 " <th>3</th>\n",
923 " <th>3</th>\n",
898 " <td> 2012-03-01</td>\n",
924 " <td> 2012-03-01</td>\n",
899 " <td> 548.17</td>\n",
925 " <td> 548.17</td>\n",
900 " <td> 621.45</td>\n",
926 " <td> 621.45</td>\n",
901 " <td> 516.22</td>\n",
927 " <td> 516.22</td>\n",
902 " <td> 599.55</td>\n",
928 " <td> 599.55</td>\n",
903 " <td> 26486000</td>\n",
929 " <td> 26486000</td>\n",
904 " <td> 596.99</td>\n",
930 " <td> 596.99</td>\n",
905 " </tr>\n",
931 " </tr>\n",
906 " <tr>\n",
932 " <tr>\n",
907 " <th>4</th>\n",
933 " <th>4</th>\n",
908 " <td> 2012-02-01</td>\n",
934 " <td> 2012-02-01</td>\n",
909 " <td> 458.41</td>\n",
935 " <td> 458.41</td>\n",
910 " <td> 547.61</td>\n",
936 " <td> 547.61</td>\n",
911 " <td> 453.98</td>\n",
937 " <td> 453.98</td>\n",
912 " <td> 542.44</td>\n",
938 " <td> 542.44</td>\n",
913 " <td> 22001000</td>\n",
939 " <td> 22001000</td>\n",
914 " <td> 540.12</td>\n",
940 " <td> 540.12</td>\n",
915 " </tr>\n",
941 " </tr>\n",
916 " <tr>\n",
942 " <tr>\n",
917 " <th>5</th>\n",
943 " <th>5</th>\n",
918 " <td> 2012-01-03</td>\n",
944 " <td> 2012-01-03</td>\n",
919 " <td> 409.40</td>\n",
945 " <td> 409.40</td>\n",
920 " <td> 458.24</td>\n",
946 " <td> 458.24</td>\n",
921 " <td> 409.00</td>\n",
947 " <td> 409.00</td>\n",
922 " <td> 456.48</td>\n",
948 " <td> 456.48</td>\n",
923 " <td> 12949100</td>\n",
949 " <td> 12949100</td>\n",
924 " <td> 454.53</td>\n",
950 " <td> 454.53</td>\n",
925 " </tr>\n",
951 " </tr>\n",
926 " </tbody>\n",
952 " </tbody>\n",
927 "</table>\n",
953 "</table>\n",
928 "<p>6 rows \u00d7 7 columns</p>\n",
954 "<p>6 rows \u00d7 7 columns</p>\n",
929 "</div>"
955 "</div>"
930 ],
956 ],
931 "metadata": {},
957 "metadata": {},
932 "output_type": "pyout",
958 "output_type": "pyout",
933 "prompt_number": 29,
959 "prompt_number": 25,
934 "text": [
960 "text": [
935 " Date Open High Low Close Volume Adj Close\n",
961 " Date Open High Low Close Volume Adj Close\n",
936 "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
962 "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
937 "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
963 "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
938 "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
964 "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
939 "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
965 "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
940 "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
966 "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
941 "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53\n",
967 "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53\n",
942 "\n",
968 "\n",
943 "[6 rows x 7 columns]"
969 "[6 rows x 7 columns]"
944 ]
970 ]
945 }
971 }
946 ],
972 ],
947 "prompt_number": 29
973 "prompt_number": 25
948 },
974 },
949 {
975 {
950 "cell_type": "heading",
976 "cell_type": "heading",
951 "level": 2,
977 "level": 2,
952 "metadata": {},
978 "metadata": {},
953 "source": [
979 "source": [
954 "External sites"
980 "External sites"
955 ]
981 ]
956 },
982 },
957 {
983 {
958 "cell_type": "markdown",
984 "cell_type": "markdown",
959 "metadata": {},
985 "metadata": {},
960 "source": [
986 "source": [
961 "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia\n",
987 "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia\n",
962 "page for mobile users:"
988 "page for mobile users:"
963 ]
989 ]
964 },
990 },
965 {
991 {
966 "cell_type": "code",
992 "cell_type": "code",
967 "collapsed": false,
993 "collapsed": false,
968 "input": [
994 "input": [
969 "from IPython.display import IFrame\n",
995 "from IPython.display import IFrame\n",
970 "IFrame('http://en.mobile.wikipedia.org/?useformat=mobile', width='100%', height=350)"
996 "IFrame('http://en.mobile.wikipedia.org/?useformat=mobile', width='100%', height=350)"
971 ],
997 ],
972 "language": "python",
998 "language": "python",
973 "metadata": {},
999 "metadata": {},
974 "outputs": [
1000 "outputs": [
975 {
1001 {
976 "html": [
1002 "html": [
977 "\n",
1003 "\n",
978 " <iframe\n",
1004 " <iframe\n",
979 " width=\"100%\"\n",
1005 " width=\"100%\"\n",
980 " height=350\"\n",
1006 " height=350\"\n",
981 " src=\"http://en.mobile.wikipedia.org/?useformat=mobile\"\n",
1007 " src=\"http://en.mobile.wikipedia.org/?useformat=mobile\"\n",
982 " frameborder=\"0\"\n",
1008 " frameborder=\"0\"\n",
983 " allowfullscreen\n",
1009 " allowfullscreen\n",
984 " ></iframe>\n",
1010 " ></iframe>\n",
985 " "
1011 " "
986 ],
1012 ],
987 "metadata": {},
1013 "metadata": {},
988 "output_type": "pyout",
1014 "output_type": "pyout",
989 "prompt_number": 30,
1015 "prompt_number": 26,
990 "text": [
1016 "text": [
991 "<IPython.lib.display.IFrame at 0x10a8f7e10>"
1017 "<IPython.lib.display.IFrame at 0x10a82db90>"
992 ]
1018 ]
993 }
1019 }
994 ],
1020 ],
995 "prompt_number": 30
1021 "prompt_number": 26
996 },
1022 },
997 {
1023 {
998 "cell_type": "heading",
1024 "cell_type": "heading",
999 "level": 2,
1025 "level": 2,
1000 "metadata": {},
1026 "metadata": {},
1001 "source": [
1027 "source": [
1002 "LaTeX"
1028 "LaTeX"
1003 ]
1029 ]
1004 },
1030 },
1005 {
1031 {
1006 "cell_type": "markdown",
1032 "cell_type": "markdown",
1007 "metadata": {},
1033 "metadata": {},
1008 "source": [
1034 "source": [
1009 "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered\n",
1035 "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered\n",
1010 "in the browser thanks to the [MathJax library](http://mathjax.org)."
1036 "in the browser thanks to the [MathJax library](http://mathjax.org)."
1011 ]
1037 ]
1012 },
1038 },
1013 {
1039 {
1014 "cell_type": "code",
1040 "cell_type": "code",
1015 "collapsed": false,
1041 "collapsed": false,
1016 "input": [
1042 "input": [
1017 "from IPython.display import Math\n",
1043 "from IPython.display import Math\n",
1018 "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
1044 "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
1019 ],
1045 ],
1020 "language": "python",
1046 "language": "python",
1021 "metadata": {},
1047 "metadata": {},
1022 "outputs": [
1048 "outputs": [
1023 {
1049 {
1024 "latex": [
1050 "latex": [
1025 "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
1051 "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
1026 ],
1052 ],
1027 "metadata": {},
1053 "metadata": {},
1028 "output_type": "pyout",
1054 "output_type": "pyout",
1029 "prompt_number": 31,
1055 "prompt_number": 27,
1030 "text": [
1056 "text": [
1031 "<IPython.core.display.Math at 0x10a8f71d0>"
1057 "<IPython.core.display.Math at 0x10a82d810>"
1032 ]
1058 ]
1033 }
1059 }
1034 ],
1060 ],
1035 "prompt_number": 31
1061 "prompt_number": 27
1036 },
1062 },
1037 {
1063 {
1038 "cell_type": "markdown",
1064 "cell_type": "markdown",
1039 "metadata": {},
1065 "metadata": {},
1040 "source": [
1066 "source": [
1041 "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
1067 "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
1042 ]
1068 ]
1043 },
1069 },
1044 {
1070 {
1045 "cell_type": "code",
1071 "cell_type": "code",
1046 "collapsed": false,
1072 "collapsed": false,
1047 "input": [
1073 "input": [
1048 "from IPython.display import Latex\n",
1074 "from IPython.display import Latex\n",
1049 "Latex(r\"\"\"\\begin{eqnarray}\n",
1075 "Latex(r\"\"\"\\begin{eqnarray}\n",
1050 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1076 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1051 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1077 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1052 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1078 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1053 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1079 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1054 "\\end{eqnarray}\"\"\")"
1080 "\\end{eqnarray}\"\"\")"
1055 ],
1081 ],
1056 "language": "python",
1082 "language": "python",
1057 "metadata": {},
1083 "metadata": {},
1058 "outputs": [
1084 "outputs": [
1059 {
1085 {
1060 "latex": [
1086 "latex": [
1061 "\\begin{eqnarray}\n",
1087 "\\begin{eqnarray}\n",
1062 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1088 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1063 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1089 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1064 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1090 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1065 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1091 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1066 "\\end{eqnarray}"
1092 "\\end{eqnarray}"
1067 ],
1093 ],
1068 "metadata": {},
1094 "metadata": {},
1069 "output_type": "pyout",
1095 "output_type": "pyout",
1070 "prompt_number": 32,
1096 "prompt_number": 28,
1071 "text": [
1097 "text": [
1072 "<IPython.core.display.Latex at 0x10a8f7690>"
1098 "<IPython.core.display.Latex at 0x10a82d090>"
1073 ]
1099 ]
1074 }
1100 }
1075 ],
1101 ],
1076 "prompt_number": 32
1102 "prompt_number": 28
1077 },
1103 },
1078 {
1104 {
1079 "cell_type": "markdown",
1105 "cell_type": "markdown",
1080 "metadata": {},
1106 "metadata": {},
1081 "source": [
1107 "source": [
1082 "Or you can enter latex directly with the `%%latex` cell magic:"
1108 "Or you can enter latex directly with the `%%latex` cell magic:"
1083 ]
1109 ]
1084 },
1110 },
1085 {
1111 {
1086 "cell_type": "code",
1112 "cell_type": "code",
1087 "collapsed": false,
1113 "collapsed": false,
1088 "input": [
1114 "input": [
1089 "%%latex\n",
1115 "%%latex\n",
1090 "\\begin{align}\n",
1116 "\\begin{align}\n",
1091 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1117 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1092 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1118 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1093 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1119 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1094 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
1120 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
1095 "\\end{align}"
1121 "\\end{align}"
1096 ],
1122 ],
1097 "language": "python",
1123 "language": "python",
1098 "metadata": {},
1124 "metadata": {},
1099 "outputs": [
1125 "outputs": [
1100 {
1126 {
1101 "latex": [
1127 "latex": [
1102 "\\begin{align}\n",
1128 "\\begin{align}\n",
1103 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1129 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1104 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1130 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1105 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1131 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1106 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
1132 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
1107 "\\end{align}"
1133 "\\end{align}"
1108 ],
1134 ],
1109 "metadata": {},
1135 "metadata": {},
1110 "output_type": "display_data",
1136 "output_type": "display_data",
1111 "text": [
1137 "text": [
1112 "<IPython.core.display.Latex at 0x10a8f7e90>"
1138 "<IPython.core.display.Latex at 0x10a82d790>"
1113 ]
1139 ]
1114 }
1140 }
1115 ],
1141 ],
1116 "prompt_number": 33
1142 "prompt_number": 29
1117 }
1143 }
1118 ],
1144 ],
1119 "metadata": {}
1145 "metadata": {}
1120 }
1146 }
1121 ]
1147 ]
1122 } No newline at end of file
1148 }
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