| | data | |
| | figures | |
| | 00.00-Preface.ipynb | 13.7 KB |
| | 01.00-IPython-Beyond-Normal-Python.ipynb | 8.3 KB |
| | 01.01-Help-And-Documentation.ipynb | 15.1 KB |
| | 01.02-Shell-Keyboard-Shortcuts.ipynb | 10.4 KB |
| | 01.03-Magic-Commands.ipynb | 9.7 KB |
| | 01.04-Input-Output-History.ipynb | 8.9 KB |
| | 01.05-IPython-And-Shell-Commands.ipynb | 11.3 KB |
| | 01.06-Errors-and-Debugging.ipynb | 20.8 KB |
| | 01.07-Timing-and-Profiling.ipynb | 18.5 KB |
| | 01.08-More-IPython-Resources.ipynb | 5.5 KB |
| | 02.00-Introduction-to-NumPy.ipynb | 7.4 KB |
| | 02.01-Understanding-Data-Types.ipynb | 23.4 KB |
| | 02.02-The-Basics-Of-NumPy-Arrays.ipynb | 32.7 KB |
| | 02.03-Computation-on-arrays-ufuncs.ipynb | 31.3 KB |
| | 02.04-Computation-on-arrays-aggregates.ipynb | 30.6 KB |
| | 02.05-Computation-on-arrays-broadcasting.ipynb | 99.8 KB |
| | 02.06-Boolean-Arrays-and-Masks.ipynb | 40.2 KB |
| | 02.07-Fancy-Indexing.ipynb | 61.5 KB |
| | 02.08-Sorting.ipynb | 60.8 KB |
| | 02.09-Structured-Data-NumPy.ipynb | 16.8 KB |
| | 03.00-Introduction-to-Pandas.ipynb | 6.9 KB |
| | 03.01-Introducing-Pandas-Objects.ipynb | 39.2 KB |
| | 03.02-Data-Indexing-and-Selection.ipynb | 40.4 KB |
| | 03.03-Operations-in-Pandas.ipynb | 27.0 KB |
| | 03.04-Missing-Values.ipynb | 36.6 KB |
| | 03.05-Hierarchical-Indexing.ipynb | 74.4 KB |
| | 03.06-Concat-And-Append.ipynb | 46.4 KB |
| | 03.07-Merge-and-Join.ipynb | 104.9 KB |
| | 03.08-Aggregation-and-Grouping.ipynb | 77.4 KB |
| | 03.09-Pivot-Tables.ipynb | 181.5 KB |
| | 03.10-Working-With-Strings.ipynb | 41.3 KB |
| | 03.11-Working-with-Time-Series.ipynb | 662.6 KB |
| | 03.12-Performance-Eval-and-Query.ipynb | 30.4 KB |
| | 03.13-Further-Resources.ipynb | 4.9 KB |
| | 04.00-Introduction-To-Matplotlib.ipynb | 98.8 KB |
| | 04.01-Simple-Line-Plots.ipynb | 289.2 KB |
| | 04.02-Simple-Scatter-Plots.ipynb | 193.2 KB |
| | 04.03-Errorbars.ipynb | 46.7 KB |
| | 04.04-Density-and-Contour-Plots.ipynb | 486.1 KB |
| | 04.05-Histograms-and-Binnings.ipynb | 122.5 KB |
| | 04.06-Customizing-Legends.ipynb | 214.6 KB |
| | 04.07-Customizing-Colorbars.ipynb | 425.2 KB |
| | 04.08-Multiple-Subplots.ipynb | 147.3 KB |
| | 04.09-Text-and-Annotation.ipynb | 191.3 KB |
| | 04.10-Customizing-Ticks.ipynb | 310.6 KB |
| | 04.11-Settings-and-Stylesheets.ipynb | 363.4 KB |
| | 04.12-Three-Dimensional-Plotting.ipynb | 647.2 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 | 5.7 KB |
| | 05.00-Machine-Learning.ipynb | 5.0 KB |
| | 05.01-What-Is-Machine-Learning.ipynb | 23.6 KB |
| | 05.02-Introducing-Scikit-Learn.ipynb | 381.5 KB |
| | 05.03-Hyperparameters-and-Model-Validation.ipynb | 209.6 KB |
| | 05.04-Feature-Engineering.ipynb | 48.1 KB |
| | 05.05-Naive-Bayes.ipynb | 257.4 KB |
| | 05.06-Linear-Regression.ipynb | 378.5 KB |
| | 05.07-Support-Vector-Machines.ipynb | 1008.6 KB |
| | 05.08-Random-Forests.ipynb | 474.4 KB |
| | 05.09-Principal-Component-Analysis.ipynb | 565.1 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 | 253.2 KB |
| | 05.14-Image-Features.ipynb | 553.5 KB |
| | 05.15-Learning-More.ipynb | 6.7 KB |
| | 06.00-Figure-Code.ipynb | 1.8 MB |
| | helpers_05_08.py | 2.8 KB |
| | Index.ipynb | 6.5 KB |
| | Untitled.ipynb | 72 B |