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Python & OpenGL for Scientific Visualization Copyright (c) 2018 - Nicolas P. Rougier <Nicolas.Rougier@inria.fr> Python and OpenGL have a long but complicated story. It used to be really easy to program something using the fixed-pipeline and libraries such as Pyglet but things have became more difficult with the introduction of the dynamic graphic pipeline in 2004. The goal of this book is to recon
There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you d
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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Coq'Art is the familiar name for the first book on the Coq proof assistant and its underlying theory the Calculus of Inductive Constructions , written by Yves Bertot and Pierre Cast�ran. Interactive Theorem Proving and Program Development Coq'Art: The Calculus of Inductive Constructions Series: Texts in Theoretical Computer Science. An EATCS Series Bertot, Yves, Cast�ran, Pierre 2004, XXV, 469 p.,
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