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Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
The online git repository is good enough but it's good to have the book to flick through .. it's got a bit of a hefty price tag though considering almost all the examples are available free online anyway ..but it is very useful and clear examples