| | feeds | |
| | figures | |
| | theme | |
| | .nojekyll | |
| | 00.00-preface.html | 53.3 KB |
| | 01.00-ipython-beyond-normal-python.html | 46.9 KB |
| | 01.01-help-and-documentation.html | 64.6 KB |
| | 01.02-shell-keyboard-shortcuts.html | 50.7 KB |
| | 01.03-magic-commands.html | 53.3 KB |
| | 01.04-input-output-history.html | 53.5 KB |
| | 01.05-ipython-and-shell-commands.html | 55.1 KB |
| | 01.06-errors-and-debugging.html | 64.6 KB |
| | 01.07-timing-and-profiling.html | 64.7 KB |
| | 01.08-more-ipython-resources.html | 44.2 KB |
| | 02.00-introduction-to-numpy.html | 46.5 KB |
| | 02.01-understanding-data-types.html | 77.2 KB |
| | 02.02-the-basics-of-numpy-arrays.html | 102.7 KB |
| | 02.03-computation-on-arrays-ufuncs.html | 98.0 KB |
| | 02.04-computation-on-arrays-aggregates.html | 80.9 KB |
| | 02.05-computation-on-arrays-broadcasting.html | 152.1 KB |
| | 02.06-boolean-arrays-and-masks.html | 103.4 KB |
| | 02.07-fancy-indexing.html | 120.9 KB |
| | 02.08-sorting.html | 116.6 KB |
| | 02.09-structured-data-numpy.html | 68.0 KB |
| | 03.00-introduction-to-pandas.html | 46.7 KB |
| | 03.01-introducing-pandas-objects.html | 99.3 KB |
| | 03.02-data-indexing-and-selection.html | 91.9 KB |
| | 03.03-operations-in-pandas.html | 74.6 KB |
| | 03.04-missing-values.html | 88.3 KB |
| | 03.05-hierarchical-indexing.html | 128.5 KB |
| | 03.06-concat-and-append.html | 89.6 KB |
| | 03.07-merge-and-join.html | 139.8 KB |
| | 03.08-aggregation-and-grouping.html | 119.0 KB |
| | 03.09-pivot-tables.html | 227.9 KB |
| | 03.10-working-with-strings.html | 99.1 KB |
| | 03.11-working-with-time-series.html | 736.1 KB |
| | 03.12-performance-eval-and-query.html | 90.5 KB |
| | 03.13-further-resources.html | 43.0 KB |
| | 04.00-introduction-to-matplotlib.html | 146.7 KB |
| | 04.01-simple-line-plots.html | 343.7 KB |
| | 04.02-simple-scatter-plots.html | 239.5 KB |
| | 04.03-errorbars.html | 92.0 KB |
| | 04.04-density-and-contour-plots.html | 526.4 KB |
| | 04.05-histograms-and-binnings.html | 171.7 KB |
| | 04.06-customizing-legends.html | 265.5 KB |
| | 04.07-customizing-colorbars.html | 475.5 KB |
| | 04.08-multiple-subplots.html | 199.4 KB |
| | 04.09-text-and-annotation.html | 253.0 KB |
| | 04.10-customizing-ticks.html | 360.2 KB |
| | 04.11-settings-and-stylesheets.html | 413.6 KB |
| | 04.12-three-dimensional-plotting.html | 699.7 KB |
| | 04.13-geographic-data-with-basemap.html | 2.6 MB |
| | 04.14-visualization-with-seaborn.html | 1.1 MB |
| | 04.15-further-resources.html | 44.2 KB |
| | 05.00-machine-learning.html | 43.2 KB |
| | 05.01-what-is-machine-learning.html | 64.9 KB |
| | 05.02-introducing-scikit-learn.html | 442.3 KB |
| | 05.03-hyperparameters-and-model-validation.html | 275.6 KB |
| | 05.04-feature-engineering.html | 99.8 KB |
| | 05.05-naive-bayes.html | 304.7 KB |
| | 05.06-linear-regression.html | 446.4 KB |
| | 05.07-support-vector-machines.html | 1.1 MB |
| | 05.08-random-forests.html | 531.7 KB |
| | 05.09-principal-component-analysis.html | 621.7 KB |
| | 05.10-manifold-learning.html | 1.5 MB |
| | 05.11-k-means.html | 2.1 MB |
| | 05.12-gaussian-mixtures.html | 1.1 MB |
| | 05.13-kernel-density-estimation.html | 329.9 KB |
| | 05.14-image-features.html | 608.0 KB |
| | 05.15-learning-more.html | 45.2 KB |
| | 06.00-figure-code.html | 2.0 MB |
| | archives.html | 13.1 KB |
| | authors.html | 13.0 KB |
| | categories.html | 12.9 KB |
| | favicon.ico | 1.1 KB |
| | index.html | 46.2 KB |
| | tags.html | 13.0 KB |