| | data | |
| | figures | |
| | 00.00-Preface.ipynb | 13.0 KB |
| | 01.00-IPython-Beyond-Normal-Python.ipynb | 7.7 KB |
| | 01.01-Help-And-Documentation.ipynb | 14.4 KB |
| | 01.02-Shell-Keyboard-Shortcuts.ipynb | 9.7 KB |
| | 01.03-Magic-Commands.ipynb | 9.1 KB |
| | 01.04-Input-Output-History.ipynb | 8.3 KB |
| | 01.05-IPython-And-Shell-Commands.ipynb | 10.7 KB |
| | 01.06-Errors-and-Debugging.ipynb | 20.1 KB |
| | 01.07-Timing-and-Profiling.ipynb | 18.2 KB |
| | 01.08-More-IPython-Resources.ipynb | 4.8 KB |
| | 02.00-Introduction-to-NumPy.ipynb | 6.8 KB |
| | 02.01-Understanding-Data-Types.ipynb | 22.7 KB |
| | 02.02-The-Basics-Of-NumPy-Arrays.ipynb | 32.1 KB |
| | 02.03-Computation-on-arrays-ufuncs.ipynb | 30.7 KB |
| | 02.04-Computation-on-arrays-aggregates.ipynb | 29.9 KB |
| | 02.05-Computation-on-arrays-broadcasting.ipynb | 99.2 KB |
| | 02.06-Boolean-Arrays-and-Masks.ipynb | 39.6 KB |
| | 02.07-Fancy-Indexing.ipynb | 60.9 KB |
| | 02.08-Sorting.ipynb | 60.2 KB |
| | 02.09-Structured-Data-NumPy.ipynb | 16.2 KB |
| | 03.00-Introduction-to-Pandas.ipynb | 6.3 KB |
| | 03.01-Introducing-Pandas-Objects.ipynb | 38.5 KB |
| | 03.02-Data-Indexing-and-Selection.ipynb | 39.7 KB |
| | 03.03-Operations-in-Pandas.ipynb | 26.3 KB |
| | 03.04-Missing-Values.ipynb | 35.9 KB |
| | 03.05-Hierarchical-Indexing.ipynb | 73.8 KB |
| | 03.06-Concat-And-Append.ipynb | 45.7 KB |
| | 03.07-Merge-and-Join.ipynb | 104.3 KB |
| | 03.08-Aggregation-and-Grouping.ipynb | 76.8 KB |
| | 03.09-Pivot-Tables.ipynb | 180.9 KB |
| | 03.10-Working-With-Strings.ipynb | 40.6 KB |
| | 03.11-Working-with-Time-Series.ipynb | 661.9 KB |
| | 03.12-Performance-Eval-and-Query.ipynb | 29.8 KB |
| | 03.13-Further-Resources.ipynb | 4.3 KB |
| | 04.00-Introduction-To-Matplotlib.ipynb | 98.2 KB |
| | 04.01-Simple-Line-Plots.ipynb | 288.5 KB |
| | 04.02-Simple-Scatter-Plots.ipynb | 192.5 KB |
| | 04.03-Errorbars.ipynb | 46.0 KB |
| | 04.04-Density-and-Contour-Plots.ipynb | 485.4 KB |
| | 04.05-Histograms-and-Binnings.ipynb | 121.8 KB |
| | 04.06-Customizing-Legends.ipynb | 214.0 KB |
| | 04.07-Customizing-Colorbars.ipynb | 424.5 KB |
| | 04.08-Multiple-Subplots.ipynb | 146.7 KB |
| | 04.09-Text-and-Annotation.ipynb | 190.6 KB |
| | 04.10-Customizing-Ticks.ipynb | 310.0 KB |
| | 04.11-Settings-and-Stylesheets.ipynb | 362.8 KB |
| | 04.12-Three-Dimensional-Plotting.ipynb | 646.5 KB |
| | 04.13-Geographic-Data-With-Basemap.ipynb | 2.6 MB |
| | 04.14-Visualization-With-Seaborn.ipynb | 1.0 MB |
| | 04.15-Further-Resources.ipynb | 5.0 KB |
| | 05.00-Machine-Learning.ipynb | 4.4 KB |
| | 05.01-What-Is-Machine-Learning.ipynb | 23.0 KB |
| | 05.02-Introducing-Scikit-Learn.ipynb | 380.9 KB |
| | 05.03-Hyperparameters-and-Model-Validation.ipynb | 209.0 KB |
| | 05.04-Feature-Engineering.ipynb | 47.4 KB |
| | 05.05-Naive-Bayes.ipynb | 256.7 KB |
| | 05.06-Linear-Regression.ipynb | 377.9 KB |
| | 05.07-Support-Vector-Machines.ipynb | 1008.0 KB |
| | 05.08-Random-Forests.ipynb | 473.8 KB |
| | 05.09-Principal-Component-Analysis.ipynb | 564.5 KB |
| | 05.10-Manifold-Learning.ipynb | 1.5 MB |
| | 05.11-K-Means.ipynb | 2.0 MB |
| | 05.12-Gaussian-Mixtures.ipynb | 1.1 MB |
| | 05.13-Kernel-Density-Estimation.ipynb | 252.6 KB |
| | 05.14-Image-Features.ipynb | 552.8 KB |
| | 05.15-Learning-More.ipynb | 6.1 KB |
| | 06.00-Figure-Code.ipynb | 1.8 MB |
| | helpers_05_08.py | 2.8 KB |
| | Index.ipynb | 6.5 KB |