##// END OF EJS Templates
Backport PR #2117: use explicit url in notebook example...
MinRK -
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@@ -1,1193 +1,1195 b''
1 1 {
2 2 "metadata": {
3 3 "name": "00_notebook_tour"
4 4 },
5 5 "nbformat": 3,
6 6 "nbformat_minor": 0,
7 7 "worksheets": [
8 8 {
9 9 "cells": [
10 10 {
11 11 "cell_type": "markdown",
12 12 "metadata": {},
13 13 "source": [
14 14 "# A brief tour of the IPython notebook\n",
15 15 "\n",
16 16 "This document will give you a brief tour of the capabilities of the IPython notebook. \n",
17 17 "You can view its contents by scrolling around, or execute each cell by typing `Shift-Enter`.\n",
18 18 "After you conclude this brief high-level tour, you should read the accompanying notebook \n",
19 19 "titled `01_notebook_introduction`, which takes a more step-by-step approach to the features of the\n",
20 20 "system. \n",
21 21 "\n",
22 22 "The rest of the notebooks in this directory illustrate various other aspects and \n",
23 23 "capabilities of the IPython notebook; some of them may require additional libraries to be executed.\n",
24 24 "\n",
25 25 "**NOTE:** This notebook *must* be run from its own directory, so you must ``cd``\n",
26 26 "to this directory and then start the notebook, but do *not* use the ``--notebook-dir``\n",
27 27 "option to run it from another location.\n",
28 28 "\n",
29 29 "The first thing you need to know is that you are still controlling the same old IPython you're used to,\n",
30 30 "so things like shell aliases and magic commands still work:"
31 31 ]
32 32 },
33 33 {
34 34 "cell_type": "code",
35 35 "collapsed": false,
36 36 "input": [
37 37 "pwd"
38 38 ],
39 39 "language": "python",
40 40 "metadata": {},
41 41 "outputs": [
42 42 {
43 43 "output_type": "pyout",
44 44 "prompt_number": 1,
45 45 "text": [
46 46 "u'/Users/minrk/dev/ip/mine/docs/examples/notebooks'"
47 47 ]
48 48 }
49 49 ],
50 50 "prompt_number": 1
51 51 },
52 52 {
53 53 "cell_type": "code",
54 54 "collapsed": false,
55 55 "input": [
56 56 "ls"
57 57 ],
58 58 "language": "python",
59 59 "metadata": {},
60 60 "outputs": [
61 61 {
62 62 "output_type": "stream",
63 63 "stream": "stdout",
64 64 "text": [
65 65 "00_notebook_tour.ipynb callbacks.ipynb python-logo.svg\r\n",
66 66 "01_notebook_introduction.ipynb cython_extension.ipynb rmagic_extension.ipynb\r\n",
67 67 "Animations_and_Progress.ipynb display_protocol.ipynb sympy.ipynb\r\n",
68 68 "Capturing Output.ipynb formatting.ipynb sympy_quantum_computing.ipynb\r\n",
69 69 "Script Magics.ipynb octavemagic_extension.ipynb trapezoid_rule.ipynb\r\n",
70 70 "animation.m4v progbar.ipynb\r\n"
71 71 ]
72 72 }
73 73 ],
74 74 "prompt_number": 2
75 75 },
76 76 {
77 77 "cell_type": "code",
78 78 "collapsed": false,
79 79 "input": [
80 80 "message = 'The IPython notebook is great!'\n",
81 81 "# note: the echo command does not run on Windows, it's a unix command.\n",
82 82 "!echo $message"
83 83 ],
84 84 "language": "python",
85 85 "metadata": {},
86 86 "outputs": [
87 87 {
88 88 "output_type": "stream",
89 89 "stream": "stdout",
90 90 "text": [
91 91 "The IPython notebook is great!\r\n"
92 92 ]
93 93 }
94 94 ],
95 95 "prompt_number": 3
96 96 },
97 97 {
98 98 "cell_type": "heading",
99 99 "level": 2,
100 100 "metadata": {},
101 101 "source": [
102 102 "Plots with matplotlib"
103 103 ]
104 104 },
105 105 {
106 106 "cell_type": "markdown",
107 107 "metadata": {},
108 108 "source": [
109 109 "IPython adds an 'inline' matplotlib backend,\n",
110 110 "which embeds any matplotlib figures into the notebook."
111 111 ]
112 112 },
113 113 {
114 114 "cell_type": "code",
115 115 "collapsed": false,
116 116 "input": [
117 117 "%pylab inline"
118 118 ],
119 119 "language": "python",
120 120 "metadata": {},
121 121 "outputs": [
122 122 {
123 123 "output_type": "stream",
124 124 "stream": "stdout",
125 125 "text": [
126 126 "\n",
127 127 "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n",
128 128 "For more information, type 'help(pylab)'.\n"
129 129 ]
130 130 }
131 131 ],
132 132 "prompt_number": 4
133 133 },
134 134 {
135 135 "cell_type": "code",
136 136 "collapsed": false,
137 137 "input": [
138 138 "x = linspace(0, 3*pi, 500)\n",
139 139 "plot(x, sin(x**2))\n",
140 140 "title('A simple chirp');"
141 141 ],
142 142 "language": "python",
143 143 "metadata": {},
144 144 "outputs": [
145 145 {
146 146 "output_type": "display_data",
147 147 "png": 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AvfZOHEif98nAzd7RrfRlITV8VlYWNmzYgCuvvBLJZBJ33XUX5s+fj40bNwIA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\nkL6BgYHBGML/B3suibfww4xPAAAAAElFTkSuQmCC\n"
148 148 }
149 149 ],
150 150 "prompt_number": 5
151 151 },
152 152 {
153 153 "cell_type": "markdown",
154 154 "metadata": {},
155 155 "source": [
156 156 "You can paste blocks of input with prompt markers, such as those from\n",
157 157 "[the official Python tutorial](http://docs.python.org/tutorial/interpreter.html#interactive-mode)"
158 158 ]
159 159 },
160 160 {
161 161 "cell_type": "code",
162 162 "collapsed": false,
163 163 "input": [
164 164 ">>> the_world_is_flat = 1\n",
165 165 ">>> if the_world_is_flat:\n",
166 166 "... print \"Be careful not to fall off!\""
167 167 ],
168 168 "language": "python",
169 169 "metadata": {},
170 170 "outputs": [
171 171 {
172 172 "output_type": "stream",
173 173 "stream": "stdout",
174 174 "text": [
175 175 "Be careful not to fall off!\n"
176 176 ]
177 177 }
178 178 ],
179 179 "prompt_number": 6
180 180 },
181 181 {
182 182 "cell_type": "markdown",
183 183 "metadata": {},
184 184 "source": [
185 185 "Errors are shown in informative ways:"
186 186 ]
187 187 },
188 188 {
189 189 "cell_type": "code",
190 190 "collapsed": false,
191 191 "input": [
192 192 "%run non_existent_file"
193 193 ],
194 194 "language": "python",
195 195 "metadata": {},
196 196 "outputs": [
197 197 {
198 198 "output_type": "stream",
199 199 "stream": "stderr",
200 200 "text": [
201 201 "ERROR: File `u'non_existent_file.py'` not found."
202 202 ]
203 203 }
204 204 ],
205 205 "prompt_number": 7
206 206 },
207 207 {
208 208 "cell_type": "code",
209 209 "collapsed": false,
210 210 "input": [
211 211 "x = 1\n",
212 212 "y = 4\n",
213 213 "z = y/(1-x)"
214 214 ],
215 215 "language": "python",
216 216 "metadata": {},
217 217 "outputs": [
218 218 {
219 219 "ename": "ZeroDivisionError",
220 220 "evalue": "integer division or modulo by zero",
221 221 "output_type": "pyerr",
222 222 "traceback": [
223 223 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
224 224 "\u001b[1;32m<ipython-input-8-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m4\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mz\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
225 225 "\u001b[1;31mZeroDivisionError\u001b[0m: integer division or modulo by zero"
226 226 ]
227 227 }
228 228 ],
229 229 "prompt_number": 8
230 230 },
231 231 {
232 232 "cell_type": "markdown",
233 233 "metadata": {},
234 234 "source": [
235 235 "When IPython needs to display additional information (such as providing details on an object via `x?`\n",
236 236 "it will automatically invoke a pager at the bottom of the screen:"
237 237 ]
238 238 },
239 239 {
240 240 "cell_type": "code",
241 241 "collapsed": false,
242 242 "input": [
243 243 "magic"
244 244 ],
245 245 "language": "python",
246 246 "metadata": {},
247 247 "outputs": [],
248 248 "prompt_number": 18
249 249 },
250 250 {
251 251 "cell_type": "markdown",
252 252 "metadata": {},
253 253 "source": [
254 254 "## Non-blocking output of kernel\n",
255 255 "\n",
256 256 "If you execute the next cell, you will see the output arriving as it is generated, not all at the end."
257 257 ]
258 258 },
259 259 {
260 260 "cell_type": "code",
261 261 "collapsed": false,
262 262 "input": [
263 263 "import time, sys\n",
264 264 "for i in range(8):\n",
265 265 " print i,\n",
266 266 " time.sleep(0.5)"
267 267 ],
268 268 "language": "python",
269 269 "metadata": {},
270 270 "outputs": [
271 271 {
272 272 "output_type": "stream",
273 273 "stream": "stdout",
274 274 "text": [
275 275 "0 "
276 276 ]
277 277 },
278 278 {
279 279 "output_type": "stream",
280 280 "stream": "stdout",
281 281 "text": [
282 282 "1 "
283 283 ]
284 284 },
285 285 {
286 286 "output_type": "stream",
287 287 "stream": "stdout",
288 288 "text": [
289 289 "2 "
290 290 ]
291 291 },
292 292 {
293 293 "output_type": "stream",
294 294 "stream": "stdout",
295 295 "text": [
296 296 "3 "
297 297 ]
298 298 },
299 299 {
300 300 "output_type": "stream",
301 301 "stream": "stdout",
302 302 "text": [
303 303 "4 "
304 304 ]
305 305 },
306 306 {
307 307 "output_type": "stream",
308 308 "stream": "stdout",
309 309 "text": [
310 310 "5 "
311 311 ]
312 312 },
313 313 {
314 314 "output_type": "stream",
315 315 "stream": "stdout",
316 316 "text": [
317 317 "6 "
318 318 ]
319 319 },
320 320 {
321 321 "output_type": "stream",
322 322 "stream": "stdout",
323 323 "text": [
324 324 "7\n"
325 325 ]
326 326 }
327 327 ],
328 328 "prompt_number": 19
329 329 },
330 330 {
331 331 "cell_type": "markdown",
332 332 "metadata": {},
333 333 "source": [
334 334 "## Clean crash and restart\n",
335 335 "\n",
336 336 "We call the low-level system libc.time routine with the wrong argument via\n",
337 337 "ctypes to segfault the Python interpreter:"
338 338 ]
339 339 },
340 340 {
341 341 "cell_type": "code",
342 342 "collapsed": false,
343 343 "input": [
344 344 "import sys\n",
345 345 "from ctypes import CDLL\n",
346 346 "# This will crash a Linux or Mac system; equivalent calls can be made on Windows\n",
347 347 "dll = 'dylib' if sys.platform == 'darwin' else '.so.6'\n",
348 348 "libc = CDLL(\"libc.%s\" % dll) \n",
349 349 "libc.time(-1) # BOOM!!"
350 350 ],
351 351 "language": "python",
352 352 "metadata": {},
353 353 "outputs": [],
354 354 "prompt_number": "*"
355 355 },
356 356 {
357 357 "cell_type": "markdown",
358 358 "metadata": {},
359 359 "source": [
360 360 "## Markdown cells can contain formatted text and code\n",
361 361 "\n",
362 362 "You can *italicize*, **boldface**\n",
363 363 "\n",
364 364 "* build\n",
365 365 "* lists\n",
366 366 "\n",
367 367 "and embed code meant for illustration instead of execution in Python:\n",
368 368 "\n",
369 369 " def f(x):\n",
370 370 " \"\"\"a docstring\"\"\"\n",
371 371 " return x**2\n",
372 372 "\n",
373 373 "or other languages:\n",
374 374 "\n",
375 375 " if (i=0; i<n; i++) {\n",
376 376 " printf(\"hello %d\\n\", i);\n",
377 377 " x += 4;\n",
378 378 " }"
379 379 ]
380 380 },
381 381 {
382 382 "cell_type": "markdown",
383 383 "metadata": {},
384 384 "source": [
385 385 "Courtesy of MathJax, you can include mathematical expressions both inline: \n",
386 386 "$e^{i\\pi} + 1 = 0$ and displayed:\n",
387 387 "\n",
388 388 "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$"
389 389 ]
390 390 },
391 391 {
392 392 "cell_type": "markdown",
393 393 "metadata": {},
394 394 "source": [
395 395 "## Rich displays: include anyting a browser can show\n",
396 396 "\n",
397 397 "Note that we have an actual protocol for this, see the `display_protocol` notebook for further details.\n",
398 398 "\n",
399 399 "### Images"
400 400 ]
401 401 },
402 402 {
403 403 "cell_type": "code",
404 404 "collapsed": false,
405 405 "input": [
406 406 "from IPython.display import Image\n",
407 407 "Image(filename='../../source/_static/logo.png')"
408 408 ],
409 409 "language": "python",
410 410 "metadata": {},
411 411 "outputs": [
412 412 {
413 413 "output_type": "pyout",
414 414 "png": 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415 415 "prompt_number": 1,
416 416 "text": [
417 417 "<IPython.core.display.Image at 0x10faeafd0>"
418 418 ]
419 419 }
420 420 ],
421 421 "prompt_number": 1
422 422 },
423 423 {
424 424 "cell_type": "markdown",
425 425 "metadata": {},
426 426 "source": [
427 427 "An image can also be displayed from raw data or a url"
428 428 ]
429 429 },
430 430 {
431 431 "cell_type": "code",
432 432 "collapsed": false,
433 433 "input": [
434 "Image('http://python.org/images/python-logo.gif')"
434 "Image(url='http://python.org/images/python-logo.gif')"
435 435 ],
436 436 "language": "python",
437 437 "metadata": {},
438 438 "outputs": [
439 439 {
440 "html": [
441 "<img src=\"http://python.org/images/python-logo.gif\" />"
442 ],
440 443 "output_type": "pyout",
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442 444 "prompt_number": 2,
443 445 "text": [
444 446 "<IPython.core.display.Image at 0x1060e7410>"
445 447 ]
446 448 }
447 449 ],
448 450 "prompt_number": 2
449 451 },
450 452 {
451 453 "cell_type": "markdown",
452 454 "metadata": {},
453 455 "source": [
454 456 "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
455 457 ]
456 458 },
457 459 {
458 460 "cell_type": "code",
459 461 "collapsed": false,
460 462 "input": [
461 463 "from IPython.display import SVG\n",
462 464 "SVG(filename='python-logo.svg')"
463 465 ],
464 466 "language": "python",
465 467 "metadata": {},
466 468 "outputs": [
467 469 {
468 470 "output_type": "pyout",
469 471 "prompt_number": 3,
470 472 "svg": [
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472 474 " <metadata id=\"metadata2193\">\n",
473 475 " <rdf:RDF>\n",
474 476 " <cc:Work rdf:about=\"\">\n",
475 477 " <dc:format>image/svg+xml</dc:format>\n",
476 478 " <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
477 479 " </cc:Work>\n",
478 480 " </rdf:RDF>\n",
479 481 " </metadata>\n",
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530 532 " </g>\n",
531 533 "</svg>"
532 534 ],
533 535 "text": [
534 536 "<IPython.core.display.SVG at 0x10fb998d0>"
535 537 ]
536 538 }
537 539 ],
538 540 "prompt_number": 3
539 541 },
540 542 {
541 543 "cell_type": "markdown",
542 544 "metadata": {},
543 545 "source": [
544 546 "#### Embedded vs Non-embedded Images"
545 547 ]
546 548 },
547 549 {
548 550 "cell_type": "markdown",
549 551 "metadata": {},
550 552 "source": [
551 553 "As of IPython 0.13, images are embedded by default for compatibility with QtConsole, and the ability to still be displayed offline.\n",
552 554 "\n",
553 555 "Let's look at the differences:"
554 556 ]
555 557 },
556 558 {
557 559 "cell_type": "code",
558 560 "collapsed": false,
559 561 "input": [
560 562 "# by default Image data are embedded\n",
561 563 "Embed = Image( 'http://www.google.fr/images/srpr/logo3w.png')\n",
562 564 "\n",
563 565 "# if kwarg `url` is given, the embedding is assumed to be false\n",
564 566 "SoftLinked = Image(url='http://www.google.fr/images/srpr/logo3w.png')\n",
565 567 "\n",
566 568 "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
567 569 "# ForceEmbed = Image(url='http://www.google.fr/images/srpr/logo3w.png', embed=True)"
568 570 ],
569 571 "language": "python",
570 572 "metadata": {},
571 573 "outputs": [],
572 574 "prompt_number": 4
573 575 },
574 576 {
575 577 "cell_type": "markdown",
576 578 "metadata": {},
577 579 "source": [
578 580 "Today's Google doodle, (at the time I created this notebook). This should also work in the Qtconsole.\n",
579 581 "Drawback is that the saved notebook will be larger, but the image will still be present offline."
580 582 ]
581 583 },
582 584 {
583 585 "cell_type": "code",
584 586 "collapsed": false,
585 587 "input": [
586 588 "Embed"
587 589 ],
588 590 "language": "python",
589 591 "metadata": {},
590 592 "outputs": [
591 593 {
592 594 "output_type": "pyout",
593 595 "png": 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594 596 "prompt_number": 5,
595 597 "text": [
596 598 "<IPython.core.display.Image at 0x10fb99b50>"
597 599 ]
598 600 }
599 601 ],
600 602 "prompt_number": 5
601 603 },
602 604 {
603 605 "cell_type": "markdown",
604 606 "metadata": {},
605 607 "source": [
606 608 "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.\n",
607 609 "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."
608 610 ]
609 611 },
610 612 {
611 613 "cell_type": "code",
612 614 "collapsed": false,
613 615 "input": [
614 616 "SoftLinked"
615 617 ],
616 618 "language": "python",
617 619 "metadata": {},
618 620 "outputs": [
619 621 {
620 622 "html": [
621 623 "<img src=\"http://www.google.fr/images/srpr/logo3w.png\" />"
622 624 ],
623 625 "output_type": "pyout",
624 626 "prompt_number": 6,
625 627 "text": [
626 628 "<IPython.core.display.Image at 0x10fb99b10>"
627 629 ]
628 630 }
629 631 ],
630 632 "prompt_number": 6
631 633 },
632 634 {
633 635 "cell_type": "markdown",
634 636 "metadata": {},
635 637 "source": [
636 638 "Of course, if you re-run this notebook, the two doodles will be the same again.\n",
637 639 "<!-- 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 -->"
638 640 ]
639 641 },
640 642 {
641 643 "cell_type": "markdown",
642 644 "metadata": {},
643 645 "source": [
644 646 "### Video"
645 647 ]
646 648 },
647 649 {
648 650 "cell_type": "markdown",
649 651 "metadata": {},
650 652 "source": [
651 653 "And more exotic objects can also be displayed, as long as their representation supports \n",
652 654 "the IPython display protocol.\n",
653 655 "\n",
654 656 "For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other\n",
655 657 "hosted content is trivial):"
656 658 ]
657 659 },
658 660 {
659 661 "cell_type": "code",
660 662 "collapsed": false,
661 663 "input": [
662 664 "from IPython.display import YouTubeVideo\n",
663 665 "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
664 666 "# Video credit: William Stein.\n",
665 667 "YouTubeVideo('1j_HxD4iLn8')"
666 668 ],
667 669 "language": "python",
668 670 "metadata": {},
669 671 "outputs": [
670 672 {
671 673 "html": [
672 674 "\n",
673 675 " <iframe\n",
674 676 " width=\"400\"\n",
675 677 " height=\"300\"\n",
676 678 " src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"\n",
677 679 " frameborder=\"0\"\n",
678 680 " allowfullscreen\n",
679 681 " ></iframe>\n",
680 682 " "
681 683 ],
682 684 "output_type": "pyout",
683 685 "prompt_number": 7,
684 686 "text": [
685 687 "<IPython.lib.display.YouTubeVideo at 0x10fba2190>"
686 688 ]
687 689 }
688 690 ],
689 691 "prompt_number": 7
690 692 },
691 693 {
692 694 "cell_type": "markdown",
693 695 "metadata": {},
694 696 "source": [
695 697 "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
696 698 "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
697 699 "we will continue testing this and looking for ways to make it more robust. \n",
698 700 "\n",
699 701 "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
700 702 "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n",
701 703 "bar at the bottom with a play/pause button and a location slider."
702 704 ]
703 705 },
704 706 {
705 707 "cell_type": "code",
706 708 "collapsed": false,
707 709 "input": [
708 710 "from IPython.display import HTML\n",
709 711 "video = open(\"animation.m4v\", \"rb\").read()\n",
710 712 "video_encoded = video.encode(\"base64\")\n",
711 713 "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
712 714 "HTML(data=video_tag)"
713 715 ],
714 716 "language": "python",
715 717 "metadata": {},
716 718 "outputs": [
717 719 {
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928 930 "\">"
929 931 ],
930 932 "output_type": "pyout",
931 933 "prompt_number": 8,
932 934 "text": [
933 935 "<IPython.core.display.HTML at 0x10fba28d0>"
934 936 ]
935 937 }
936 938 ],
937 939 "prompt_number": 8
938 940 },
939 941 {
940 942 "cell_type": "markdown",
941 943 "metadata": {},
942 944 "source": [
943 945 "## Local Files\n",
944 946 "\n",
945 947 "The above examples embed images and video from the notebook filesystem in the output\n",
946 948 "areas of code cells. It is also possible to request these files directly in markdown cells\n",
947 949 "if they reside in the notebook directory via relative urls prefixed with `files/`:\n",
948 950 "\n",
949 951 " files/[subdirectory/]<filename>\n",
950 952 "\n",
951 953 "\n",
952 954 "For example, in the example notebook folder, we have the Python logo, addressed as:\n",
953 955 "\n",
954 956 " <img src=\"files/python-logo.svg\" />\n",
955 957 "\n",
956 958 "<img src=\"/files/python-logo.svg\" />\n",
957 959 "\n",
958 960 "and a video with the HTML5 video tag:\n",
959 961 "\n",
960 962 " <video controls src=\"files/animation.m4v\" />\n",
961 963 "\n",
962 964 "<video controls src=\"/files/animation.m4v\" />\n",
963 965 "\n",
964 966 "These do not embed the data into the notebook file,\n",
965 967 "and require that the files exist when you are viewing the notebook.\n",
966 968 "\n",
967 969 "### Security of local files\n",
968 970 "\n",
969 971 "Note that this means that the IPython notebook server also acts as a generic file server\n",
970 972 "for files inside the same tree as your notebooks. Access is not granted outside the\n",
971 973 "notebook folder so you have strict control over what files are visible, but for this\n",
972 974 "reason it is highly recommended that you do not run the notebook server with a notebook\n",
973 975 "directory at a high level in your filesystem (e.g. your home directory).\n",
974 976 "\n",
975 977 "When you run the notebook in a password-protected manner, local file access is restricted\n",
976 978 "to authenticated users unless read-only views are active."
977 979 ]
978 980 },
979 981 {
980 982 "cell_type": "markdown",
981 983 "metadata": {},
982 984 "source": [
983 985 "### External sites\n",
984 986 "\n",
985 987 "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia\n",
986 988 "page for mobile users:"
987 989 ]
988 990 },
989 991 {
990 992 "cell_type": "code",
991 993 "collapsed": false,
992 994 "input": [
993 995 "HTML('<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>')"
994 996 ],
995 997 "language": "python",
996 998 "metadata": {},
997 999 "outputs": [
998 1000 {
999 1001 "html": [
1000 1002 "<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>"
1001 1003 ],
1002 1004 "output_type": "pyout",
1003 1005 "prompt_number": 9,
1004 1006 "text": [
1005 1007 "<IPython.core.display.HTML at 0x10fba2450>"
1006 1008 ]
1007 1009 }
1008 1010 ],
1009 1011 "prompt_number": 9
1010 1012 },
1011 1013 {
1012 1014 "cell_type": "markdown",
1013 1015 "metadata": {},
1014 1016 "source": [
1015 1017 "### Mathematics\n",
1016 1018 "\n",
1017 1019 "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered\n",
1018 1020 "in the browser thanks to the [MathJax library](http://mathjax.org). \n",
1019 1021 "\n",
1020 1022 "Note that this is *different* from the above examples. Above we were typing mathematical expressions\n",
1021 1023 "in Markdown cells (along with normal text) and letting the browser render them; now we are displaying\n",
1022 1024 "the output of a Python computation as a LaTeX expression wrapped by the `Math()` object so the browser\n",
1023 1025 "renders it. The `Math` object will add the needed LaTeX delimiters (`$$`) if they are not provided:"
1024 1026 ]
1025 1027 },
1026 1028 {
1027 1029 "cell_type": "code",
1028 1030 "collapsed": false,
1029 1031 "input": [
1030 1032 "from IPython.display import Math\n",
1031 1033 "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
1032 1034 ],
1033 1035 "language": "python",
1034 1036 "metadata": {},
1035 1037 "outputs": [
1036 1038 {
1037 1039 "latex": [
1038 1040 "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
1039 1041 ],
1040 1042 "output_type": "pyout",
1041 1043 "prompt_number": 10,
1042 1044 "text": [
1043 1045 "<IPython.core.display.Math at 0x10fba26d0>"
1044 1046 ]
1045 1047 }
1046 1048 ],
1047 1049 "prompt_number": 10
1048 1050 },
1049 1051 {
1050 1052 "cell_type": "markdown",
1051 1053 "metadata": {},
1052 1054 "source": [
1053 1055 "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
1054 1056 ]
1055 1057 },
1056 1058 {
1057 1059 "cell_type": "code",
1058 1060 "collapsed": false,
1059 1061 "input": [
1060 1062 "from IPython.display import Latex\n",
1061 1063 "Latex(r\"\"\"\\begin{eqnarray}\n",
1062 1064 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1063 1065 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1064 1066 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1065 1067 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1066 1068 "\\end{eqnarray}\"\"\")"
1067 1069 ],
1068 1070 "language": "python",
1069 1071 "metadata": {},
1070 1072 "outputs": [
1071 1073 {
1072 1074 "latex": [
1073 1075 "\\begin{eqnarray}\n",
1074 1076 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
1075 1077 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
1076 1078 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
1077 1079 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
1078 1080 "\\end{eqnarray}"
1079 1081 ],
1080 1082 "output_type": "pyout",
1081 1083 "prompt_number": 11,
1082 1084 "text": [
1083 1085 "<IPython.core.display.Latex at 0x10fba2c10>"
1084 1086 ]
1085 1087 }
1086 1088 ],
1087 1089 "prompt_number": 11
1088 1090 },
1089 1091 {
1090 1092 "cell_type": "markdown",
1091 1093 "metadata": {},
1092 1094 "source": [
1093 1095 "# Loading external codes\n",
1094 1096 "* Drag and drop a ``.py`` in the dashboard\n",
1095 1097 "* Use ``%load`` with any local or remote url: [the Matplotlib Gallery!](http://matplotlib.sourceforge.net/gallery.html)\n",
1096 1098 "\n",
1097 1099 "In this notebook we've kept the output saved so you can see the result, but you should run the next\n",
1098 1100 "cell yourself (with an active internet connection)."
1099 1101 ]
1100 1102 },
1101 1103 {
1102 1104 "cell_type": "markdown",
1103 1105 "metadata": {},
1104 1106 "source": [
1105 1107 "Let's make sure we have pylab again, in case we have restarted the kernel due to the crash demo above"
1106 1108 ]
1107 1109 },
1108 1110 {
1109 1111 "cell_type": "code",
1110 1112 "collapsed": false,
1111 1113 "input": [
1112 1114 "%pylab inline"
1113 1115 ],
1114 1116 "language": "python",
1115 1117 "metadata": {},
1116 1118 "outputs": [
1117 1119 {
1118 1120 "output_type": "stream",
1119 1121 "stream": "stdout",
1120 1122 "text": [
1121 1123 "\n",
1122 1124 "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n",
1123 1125 "For more information, type 'help(pylab)'.\n"
1124 1126 ]
1125 1127 }
1126 1128 ],
1127 1129 "prompt_number": 12
1128 1130 },
1129 1131 {
1130 1132 "cell_type": "code",
1131 1133 "collapsed": false,
1132 1134 "input": [
1133 1135 "%load http://matplotlib.sourceforge.net/mpl_examples/pylab_examples/integral_demo.py"
1134 1136 ],
1135 1137 "language": "python",
1136 1138 "metadata": {},
1137 1139 "outputs": [],
1138 1140 "prompt_number": 15
1139 1141 },
1140 1142 {
1141 1143 "cell_type": "code",
1142 1144 "collapsed": false,
1143 1145 "input": [
1144 1146 "#!/usr/bin/env python\n",
1145 1147 "\n",
1146 1148 "# implement the example graphs/integral from pyx\n",
1147 1149 "from pylab import *\n",
1148 1150 "from matplotlib.patches import Polygon\n",
1149 1151 "\n",
1150 1152 "def func(x):\n",
1151 1153 " return (x-3)*(x-5)*(x-7)+85\n",
1152 1154 "\n",
1153 1155 "ax = subplot(111)\n",
1154 1156 "\n",
1155 1157 "a, b = 2, 9 # integral area\n",
1156 1158 "x = arange(0, 10, 0.01)\n",
1157 1159 "y = func(x)\n",
1158 1160 "plot(x, y, linewidth=1)\n",
1159 1161 "\n",
1160 1162 "# make the shaded region\n",
1161 1163 "ix = arange(a, b, 0.01)\n",
1162 1164 "iy = func(ix)\n",
1163 1165 "verts = [(a,0)] + zip(ix,iy) + [(b,0)]\n",
1164 1166 "poly = Polygon(verts, facecolor='0.8', edgecolor='k')\n",
1165 1167 "ax.add_patch(poly)\n",
1166 1168 "\n",
1167 1169 "text(0.5 * (a + b), 30,\n",
1168 1170 " r\"$\\int_a^b f(x)\\mathrm{d}x$\", horizontalalignment='center',\n",
1169 1171 " fontsize=20)\n",
1170 1172 "\n",
1171 1173 "axis([0,10, 0, 180])\n",
1172 1174 "figtext(0.9, 0.05, 'x')\n",
1173 1175 "figtext(0.1, 0.9, 'y')\n",
1174 1176 "ax.set_xticks((a,b))\n",
1175 1177 "ax.set_xticklabels(('a','b'))\n",
1176 1178 "ax.set_yticks([])\n",
1177 1179 "show()\n"
1178 1180 ],
1179 1181 "language": "python",
1180 1182 "metadata": {},
1181 1183 "outputs": [
1182 1184 {
1183 1185 "output_type": "display_data",
1184 1186 "png": 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1185 1187 }
1186 1188 ],
1187 1189 "prompt_number": 16
1188 1190 }
1189 1191 ],
1190 1192 "metadata": {}
1191 1193 }
1192 1194 ]
1193 1195 }
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