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Title: GitHub - ramseydsilva/PythonDataScienceHandbook: Jupyter Notebooks for the Python Data Science Handbook · GitHub

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Python Data Science Handbook	http://shop.oreilly.com/product/0636920034919.do
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Computation on NumPy Arrays: Universal Functions	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.03-Computation-on-arrays-ufuncs.ipynb
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5. Machine Learning	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.00-Machine-Learning.ipynb
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In-Depth: k-Means Clustering	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.11-K-Means.ipynb
In-Depth: Gaussian Mixture Models	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.12-Gaussian-Mixtures.ipynb
In-Depth: Kernel Density Estimation	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.13-Kernel-Density-Estimation.ipynb
Application: A Face Detection Pipeline	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.14-Image-Features.ipynb
Further Machine Learning Resources	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.15-Learning-More.ipynb
Appendix: Figure Code	http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/06.00-Figure-Code.ipynb
	https://github.com/ramseydsilva/PythonDataScienceHandbook#appendix-figure-code
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requirements.txt	https://github.com/ramseydsilva/PythonDataScienceHandbook/blob/master/requirements.txt
conda	http://conda.pydata.org
Managing Environments	http://conda.pydata.org/docs/using/envs.html
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