Files

notebooks
- data
- figures
- 00.00-Preface.ipynb
- 01.00-IPython-Beyond-Normal-Python.ipynb
- 01.01-Help-And-Documentation.ipynb
- 01.02-Shell-Keyboard-Shortcuts.ipynb
- 01.03-Magic-Commands.ipynb
- 01.04-Input-Output-History.ipynb
- 01.05-IPython-And-Shell-Commands.ipynb
- 01.06-Errors-and-Debugging.ipynb
- 01.07-Timing-and-Profiling.ipynb
- 01.08-More-IPython-Resources.ipynb
- 02.00-Introduction-to-NumPy.ipynb
- 02.01-Understanding-Data-Types.ipynb
- 02.02-The-Basics-Of-NumPy-Arrays.ipynb
- 02.03-Computation-on-arrays-ufuncs.ipynb
- 02.04-Computation-on-arrays-aggregates.ipynb
- 02.05-Computation-on-arrays-broadcasting.ipynb
- 02.06-Boolean-Arrays-and-Masks.ipynb
- 02.07-Fancy-Indexing.ipynb
- 02.08-Sorting.ipynb
- 02.09-Structured-Data-NumPy.ipynb
- 03.00-Introduction-to-Pandas.ipynb
- 03.01-Introducing-Pandas-Objects.ipynb
- 03.02-Data-Indexing-and-Selection.ipynb
- 03.03-Operations-in-Pandas.ipynb
- 03.04-Missing-Values.ipynb
- 03.05-Hierarchical-Indexing.ipynb
- 03.06-Concat-And-Append.ipynb
- 03.07-Merge-and-Join.ipynb
- 03.08-Aggregation-and-Grouping.ipynb
- 03.09-Pivot-Tables.ipynb
- 03.10-Working-With-Strings.ipynb
- 03.11-Working-with-Time-Series.ipynb
- 03.12-Performance-Eval-and-Query.ipynb
- 03.13-Further-Resources.ipynb
- 04.00-Introduction-To-Matplotlib.ipynb
- 04.01-Simple-Line-Plots.ipynb
- 04.02-Simple-Scatter-Plots.ipynb
- 04.03-Errorbars.ipynb
- 04.04-Density-and-Contour-Plots.ipynb
- 04.05-Histograms-and-Binnings.ipynb
- 04.06-Customizing-Legends.ipynb
- 04.07-Customizing-Colorbars.ipynb
- 04.08-Multiple-Subplots.ipynb
- 04.09-Text-and-Annotation.ipynb
- 04.10-Customizing-Ticks.ipynb
- 04.11-Settings-and-Stylesheets.ipynb
- 04.12-Three-Dimensional-Plotting.ipynb
- 04.14-Visualization-With-Seaborn.ipynb
- 04.15-Further-Resources.ipynb
- 05.00-Machine-Learning.ipynb
- 05.01-What-Is-Machine-Learning.ipynb
- 05.02-Introducing-Scikit-Learn.ipynb
- 05.03-Hyperparameters-and-Model-Validation.ipynb
- 05.04-Feature-Engineering.ipynb
- 05.05-Naive-Bayes.ipynb
- 05.06-Linear-Regression.ipynb
- 05.07-Support-Vector-Machines.ipynb
- 05.08-Random-Forests.ipynb
- 05.09-Principal-Component-Analysis.ipynb
- 05.10-Manifold-Learning.ipynb
- 05.11-K-Means.ipynb
- 05.12-Gaussian-Mixtures.ipynb
- 05.13-Kernel-Density-Estimation.ipynb
- 05.14-Image-Features.ipynb
- 05.15-Learning-More.ipynb
- 06.00-Figure-Code.ipynb
- Untitled.ipynb
- helpers_05_08.py
notebooks_v1
notebooks_v2
tools
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LICENSE-CODE
LICENSE-TEXT
README.md
environment.yml
requirements.txt

Untitled.ipynb

Add source material from second edition

May 5, 2023

d662314 · May 5, 2023

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