├── .gitignore ├── .gitmodules ├── LICENSE-CODE ├── LICENSE-TEXT ├── README.md ├── notebooks ├── 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 ├── 04.13-Geographic-Data-With-Basemap.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 ├── Index.ipynb ├── data │ ├── BicycleWeather.csv │ ├── Seattle2014.csv │ ├── births.csv │ ├── california_cities.csv │ ├── president_heights.csv │ ├── state-abbrevs.csv │ ├── state-areas.csv │ └── state-population.csv ├── figures │ ├── 02.05-broadcasting.png │ ├── 03.08-split-apply-combine.png │ ├── 05.01-classification-1.png │ ├── 05.01-classification-2.png │ ├── 05.01-classification-3.png │ ├── 05.01-clustering-1.png │ ├── 05.01-clustering-2.png │ ├── 05.01-dimesionality-1.png │ ├── 05.01-dimesionality-2.png │ ├── 05.01-regression-1.png │ ├── 05.01-regression-2.png │ ├── 05.01-regression-3.png │ ├── 05.01-regression-4.png │ ├── 05.02-samples-features.png │ ├── 05.03-2-fold-CV.png │ ├── 05.03-5-fold-CV.png │ ├── 05.03-bias-variance-2.png │ ├── 05.03-bias-variance.png │ ├── 05.03-learning-curve.png │ ├── 05.03-validation-curve.png │ ├── 05.05-gaussian-NB.png │ ├── 05.06-gaussian-basis.png │ ├── 05.08-decision-tree-levels.png │ ├── 05.08-decision-tree-overfitting.png │ ├── 05.08-decision-tree.png │ ├── 05.09-PCA-rotation.png │ ├── 05.09-digits-pca-components.png │ ├── 05.09-digits-pixel-components.png │ ├── 05.10-LLE-vs-MDS.png │ ├── 05.11-expectation-maximization.png │ ├── 05.12-covariance-type.png │ ├── Data_Science_VD.png │ ├── PDSH-cover-small.png │ ├── PDSH-cover.png │ ├── array_vs_list.png │ └── cint_vs_pyint.png └── helpers_05_08.py ├── requirements.txt ├── tools ├── README.md ├── add_book_info.py ├── add_navigation.py ├── fix_kernelspec.py └── generate_contents.py └── website ├── .gitignore ├── Makefile ├── README.md ├── content └── favicon.ico ├── copy_notebooks.py ├── fabfile.py ├── pelicanconf.py ├── publishconf.py └── theme ├── README.md ├── static ├── css │ └── icons.css └── font │ ├── icons.eot │ ├── icons.svg │ ├── icons.ttf │ └── icons.woff └── templates ├── _includes ├── analytics.html └── disqus_thread.html ├── about.html ├── archives.html ├── article.html ├── base.html ├── booksection.html ├── index.html ├── ipynb.css ├── main.css ├── main.less ├── page.html ├── pygments.css └── tag.html /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nkjadhav/PythonDataScienceHandbook/HEAD/.gitignore -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- 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