Sources are available from github. All code and material is licensed under a Creative Commons Attribution-ShareAlike 4.0. Tutorial can be read at http://www.labri.fr/perso/nrougier/teaching/numpy/numpy.html See also: Matplotlib tutorial 100 Numpy exercices Introduction NumPy is the fundamental package for scientific computing with Python. It contains among other things: → a powerful N-dimensional
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