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