├── .gitignore ├── LICENSE.txt ├── README.md ├── errata.md ├── featured ├── 01_numpy_performance.ipynb ├── 02_energy_minimization.ipynb ├── 03_gps.ipynb ├── 04_scikit.ipynb ├── 05_turing.ipynb ├── 06_vispy.ipynb └── images │ ├── layout.png │ ├── ml.png │ ├── road.jpg │ ├── turing.jpg │ └── vispy.PNG ├── installation.md ├── notebooks ├── chapter01_basic │ ├── 01_notebook.ipynb │ ├── 02_pandas.ipynb │ ├── 03_numpy.ipynb │ ├── 04_magic.ipynb │ ├── 05_config.ipynb │ └── 06_kernel.ipynb ├── chapter02_best_practices │ ├── 07_unittests.ipynb │ └── 07_unittests_py2.ipynb ├── chapter03_notebook │ ├── 01_blocks.ipynb │ ├── 02_nbformat.ipynb │ ├── 03_controls.ipynb │ ├── 04_css.ipynb │ ├── 04_css_ipy3.ipynb │ ├── 05_basic_widgets.ipynb │ ├── 06_widgets.ipynb │ ├── 07_webcam_py2.ipynb │ └── 07_webcam_py3.ipynb ├── chapter04_optimization │ ├── 01_timeit.ipynb │ ├── 02_profile.ipynb │ ├── 03_linebyline.ipynb │ ├── 04_memprof.ipynb │ ├── 05_array_copies.ipynb │ ├── 06_stride_tricks.ipynb │ ├── 07_rolling_average.ipynb │ ├── 08_efficient_selections.ipynb │ ├── 09_memmap.ipynb │ ├── 10_hdf5_array.ipynb │ └── 11_hdf5_table.ipynb ├── chapter05_hpc │ ├── 01_numba.ipynb │ ├── 02_numexpr.ipynb │ ├── 03_ctypes.ipynb │ ├── 04_cython.ipynb │ ├── 05_ray_1.ipynb │ ├── 05_ray_2.ipynb │ ├── 05_ray_3.ipynb │ ├── 05_ray_4.ipynb │ ├── 05_ray_5.ipynb │ ├── 06_openmp_linux.ipynb │ ├── 06_openmp_windows.ipynb │ ├── 07_cuda.ipynb │ ├── 08_opencl.ipynb │ ├── 09_ipyparallel.ipynb │ ├── 10_async.ipynb │ ├── 11_mpi.ipynb │ ├── 12_julia.ipynb │ └── _launch_notebook.bat ├── chapter06_viz │ ├── 01_prettyplotlib.ipynb │ ├── 02_seaborn.ipynb │ ├── 03_bokeh.ipynb │ ├── 04_d3.ipynb │ ├── 05_mpld3.ipynb │ ├── 06_vispy.ipynb │ └── graph.json ├── chapter07_stats │ ├── 01_pandas.ipynb │ ├── 02_z_test.ipynb │ ├── 03_bayesian.ipynb │ ├── 04_correlation.ipynb │ ├── 05_mlfit.ipynb │ ├── 06_kde.ipynb │ ├── 07_pymc.ipynb │ └── 08_r.ipynb ├── chapter08_ml │ ├── 01_scikit.ipynb │ ├── 02_titanic.ipynb │ ├── 03_digits.ipynb │ ├── 04_text.ipynb │ ├── 05_svm.ipynb │ ├── 06_random_forest.ipynb │ ├── 07_pca.ipynb │ └── 08_clustering.ipynb ├── chapter09_numoptim │ ├── 01_root.ipynb │ ├── 02_minimize.ipynb │ ├── 03_curvefitting.ipynb │ └── 04_energy.ipynb ├── chapter10_signal │ ├── 01_fourier.ipynb │ ├── 02_filter.ipynb │ └── 03_autocorrelation.ipynb ├── chapter11_image │ ├── 01_exposure.ipynb │ ├── 02_filters.ipynb │ ├── 03_segmentation.ipynb │ ├── 04_interest.ipynb │ ├── 05_faces.ipynb │ ├── 06_speech.ipynb │ ├── 06_speech_py2.ipynb │ └── 07_synth.ipynb ├── chapter12_deterministic │ ├── 01_bifurcation.ipynb │ ├── 02_cellular.ipynb │ ├── 03_ode.ipynb │ └── 04_turing.ipynb ├── chapter13_stochastic │ ├── 01_markov.ipynb │ ├── 02_poisson.ipynb │ ├── 03_brownian.ipynb │ └── 04_sde.ipynb ├── chapter14_graphgeo │ ├── 01_networkx.ipynb │ ├── 02_social.ipynb │ ├── 03_dag.ipynb │ ├── 04_connected.ipynb │ ├── 05_voronoi.ipynb │ ├── 06_gis.ipynb │ └── 07_gps.ipynb └── chapter15_symbolic │ ├── 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