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