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cyrus723's
repositories
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feeds
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figures
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theme
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.nojekyll
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00.00-preface.html
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01.00-ipython-beyond-normal-python.html
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01.01-help-and-documentation.html
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01.02-shell-keyboard-shortcuts.html
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01.03-magic-commands.html
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01.04-input-output-history.html
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01.05-ipython-and-shell-commands.html
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01.06-errors-and-debugging.html
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01.07-timing-and-profiling.html
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01.08-more-ipython-resources.html
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02.00-introduction-to-numpy.html
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02.01-understanding-data-types.html
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02.02-the-basics-of-numpy-arrays.html
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02.03-computation-on-arrays-ufuncs.html
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02.04-computation-on-arrays-aggregates.html
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02.05-computation-on-arrays-broadcasting.html
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02.06-boolean-arrays-and-masks.html
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02.07-fancy-indexing.html
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02.08-sorting.html
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02.09-structured-data-numpy.html
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03.00-introduction-to-pandas.html
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03.01-introducing-pandas-objects.html
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03.02-data-indexing-and-selection.html
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03.03-operations-in-pandas.html
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03.04-missing-values.html
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03.05-hierarchical-indexing.html
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03.06-concat-and-append.html
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03.07-merge-and-join.html
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03.08-aggregation-and-grouping.html
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03.09-pivot-tables.html
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03.10-working-with-strings.html
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03.11-working-with-time-series.html
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03.12-performance-eval-and-query.html
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03.13-further-resources.html
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04.00-introduction-to-matplotlib.html
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04.01-simple-line-plots.html
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04.02-simple-scatter-plots.html
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04.03-errorbars.html
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04.04-density-and-contour-plots.html
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04.05-histograms-and-binnings.html
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04.06-customizing-legends.html
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04.07-customizing-colorbars.html
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04.08-multiple-subplots.html
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04.09-text-and-annotation.html
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04.10-customizing-ticks.html
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04.11-settings-and-stylesheets.html
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04.12-three-dimensional-plotting.html
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04.13-geographic-data-with-basemap.html
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04.14-visualization-with-seaborn.html
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04.15-further-resources.html
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05.00-machine-learning.html
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05.01-what-is-machine-learning.html
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05.02-introducing-scikit-learn.html
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05.03-hyperparameters-and-model-validation.html
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05.04-feature-engineering.html
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05.05-naive-bayes.html
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05.06-linear-regression.html
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05.07-support-vector-machines.html
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05.08-random-forests.html
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05.09-principal-component-analysis.html
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05.10-manifold-learning.html
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05.11-k-means.html
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05.12-gaussian-mixtures.html
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05.13-kernel-density-estimation.html
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05.14-image-features.html
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05.15-learning-more.html
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06.00-figure-code.html
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archives.html
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authors.html
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categories.html
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favicon.ico
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index.html
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tags.html
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