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19 | 19 | "< [Errors and Debugging](01.06-Errors-and-Debugging.ipynb) | [Contents](Index.ipynb) | [More IPython Resources](01.08-More-IPython-Resources.ipynb) >" |
20 | 20 | ] |
21 | 21 | }, |
| 22 | + { |
| 23 | + "cell_type": "markdown", |
| 24 | + "metadata": {}, |
| 25 | + "source": [ |
| 26 | + "<!--COLAB_LINK-->\n", |
| 27 | + "<p><a href=\"https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.07-Timing-and-Profiling.ipynb\"><img src=\"https://colab.research.google.com/img/colab_favicon_256px.png\" style=\"height: 2em; display: inline;\"></a><i>View an executable version of this notebook in <a href=\"https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.07-Timing-and-Profiling.ipynb\">Google Colab</a>.</i></p>\n" |
| 28 | + ] |
| 29 | + }, |
22 | 30 | { |
23 | 31 | "cell_type": "markdown", |
24 | 32 | "metadata": {}, |
|
60 | 68 | { |
61 | 69 | "cell_type": "code", |
62 | 70 | "execution_count": 1, |
63 | | - "metadata": { |
64 | | - "collapsed": false |
65 | | - }, |
| 71 | + "metadata": {}, |
66 | 72 | "outputs": [ |
67 | 73 | { |
68 | 74 | "name": "stdout", |
|
87 | 93 | { |
88 | 94 | "cell_type": "code", |
89 | 95 | "execution_count": 2, |
90 | | - "metadata": { |
91 | | - "collapsed": false |
92 | | - }, |
| 96 | + "metadata": {}, |
93 | 97 | "outputs": [ |
94 | 98 | { |
95 | 99 | "name": "stdout", |
|
119 | 123 | { |
120 | 124 | "cell_type": "code", |
121 | 125 | "execution_count": 3, |
122 | | - "metadata": { |
123 | | - "collapsed": false |
124 | | - }, |
| 126 | + "metadata": {}, |
125 | 127 | "outputs": [ |
126 | 128 | { |
127 | 129 | "name": "stdout", |
|
148 | 150 | { |
149 | 151 | "cell_type": "code", |
150 | 152 | "execution_count": 4, |
151 | | - "metadata": { |
152 | | - "collapsed": false |
153 | | - }, |
| 153 | + "metadata": {}, |
154 | 154 | "outputs": [ |
155 | 155 | { |
156 | 156 | "name": "stdout", |
|
172 | 172 | { |
173 | 173 | "cell_type": "code", |
174 | 174 | "execution_count": 5, |
175 | | - "metadata": { |
176 | | - "collapsed": false |
177 | | - }, |
| 175 | + "metadata": {}, |
178 | 176 | "outputs": [ |
179 | 177 | { |
180 | 178 | "name": "stdout", |
|
206 | 204 | { |
207 | 205 | "cell_type": "code", |
208 | 206 | "execution_count": 6, |
209 | | - "metadata": { |
210 | | - "collapsed": false |
211 | | - }, |
| 207 | + "metadata": {}, |
212 | 208 | "outputs": [ |
213 | 209 | { |
214 | 210 | "name": "stdout", |
|
249 | 245 | { |
250 | 246 | "cell_type": "code", |
251 | 247 | "execution_count": 7, |
252 | | - "metadata": { |
253 | | - "collapsed": false |
254 | | - }, |
| 248 | + "metadata": {}, |
255 | 249 | "outputs": [], |
256 | 250 | "source": [ |
257 | 251 | "def sum_of_lists(N):\n", |
|
272 | 266 | { |
273 | 267 | "cell_type": "code", |
274 | 268 | "execution_count": 8, |
275 | | - "metadata": { |
276 | | - "collapsed": false |
277 | | - }, |
| 269 | + "metadata": {}, |
278 | 270 | "outputs": [ |
279 | 271 | { |
280 | 272 | "name": "stdout", |
|
333 | 325 | { |
334 | 326 | "cell_type": "code", |
335 | 327 | "execution_count": 9, |
336 | | - "metadata": { |
337 | | - "collapsed": false |
338 | | - }, |
| 328 | + "metadata": {}, |
339 | 329 | "outputs": [], |
340 | 330 | "source": [ |
341 | 331 | "%load_ext line_profiler" |
|
351 | 341 | { |
352 | 342 | "cell_type": "code", |
353 | 343 | "execution_count": 10, |
354 | | - "metadata": { |
355 | | - "collapsed": false |
356 | | - }, |
| 344 | + "metadata": {}, |
357 | 345 | "outputs": [], |
358 | 346 | "source": [ |
359 | 347 | "%lprun -f sum_of_lists sum_of_lists(5000)" |
|
408 | 396 | { |
409 | 397 | "cell_type": "code", |
410 | 398 | "execution_count": 12, |
411 | | - "metadata": { |
412 | | - "collapsed": false |
413 | | - }, |
| 399 | + "metadata": {}, |
414 | 400 | "outputs": [], |
415 | 401 | "source": [ |
416 | 402 | "%load_ext memory_profiler" |
|
427 | 413 | { |
428 | 414 | "cell_type": "code", |
429 | 415 | "execution_count": 13, |
430 | | - "metadata": { |
431 | | - "collapsed": false |
432 | | - }, |
| 416 | + "metadata": {}, |
433 | 417 | "outputs": [ |
434 | 418 | { |
435 | 419 | "name": "stdout", |
|
456 | 440 | { |
457 | 441 | "cell_type": "code", |
458 | 442 | "execution_count": 14, |
459 | | - "metadata": { |
460 | | - "collapsed": false |
461 | | - }, |
| 443 | + "metadata": {}, |
462 | 444 | "outputs": [ |
463 | 445 | { |
464 | 446 | "name": "stdout", |
|
489 | 471 | { |
490 | 472 | "cell_type": "code", |
491 | 473 | "execution_count": 15, |
492 | | - "metadata": { |
493 | | - "collapsed": false |
494 | | - }, |
| 474 | + "metadata": {}, |
495 | 475 | "outputs": [ |
496 | 476 | { |
497 | 477 | "name": "stdout", |
|
549 | 529 | "metadata": { |
550 | 530 | "anaconda-cloud": {}, |
551 | 531 | "kernelspec": { |
552 | | - "display_name": "Python 3", |
| 532 | + "display_name": "Python [default]", |
553 | 533 | "language": "python", |
554 | 534 | "name": "python3" |
555 | 535 | }, |
|
563 | 543 | "name": "python", |
564 | 544 | "nbconvert_exporter": "python", |
565 | 545 | "pygments_lexer": "ipython3", |
566 | | - "version": "3.5.1" |
| 546 | + "version": "3.6.1" |
567 | 547 | } |
568 | 548 | }, |
569 | 549 | "nbformat": 4, |
570 | | - "nbformat_minor": 0 |
| 550 | + "nbformat_minor": 1 |
571 | 551 | } |
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