![]() ![]() Numpy, OpenGL) and I've been teaching Python, numpy and scientific ![]() I'm the author of several online resources and tutorials (Matplotlib, I've been using Python for more than 15 years and numpy for more than 10 yearsįor modeling in neuroscience, machine learning and for advanced visualization National center for scientific research ( CNRS). Research in computer science ( LaBRI), the University of Bordeaux and the Institute of Neurodegenerative Diseases, the Bordeaux laboratory for I'm working within the Mnemosyne project which lies at the frontierīetween integrative and computational neuroscience in association with the Of the Research & Education Ministry, and the Ministry of Economy Finance and Scientific and technological establishment (EPST) under the double supervision Institute for research in computer science and control. I am a full-time research scientist at Inria which is the French national And of course, everything will be fast and beautiful. Isolines, markers, colormaps, arbitrary transformations but there areĪctually many more techniques to be discovered and explained in this To explain several techniques dedicated to scientific visualisation such as In fact, modern OpenGL allows toĬontrol pretty much everything in the pipeline and the goal of this book is ![]() Sufficient to achieve great visualisation. It does not cover up-to-date OpenGL techniques but it is ![]() The book uses the GLESĢ.0 API which is the most simple API for accessing the programmable graphic OpenGL and a set of basic and advanced techniques in order to achieve bothįast, scalable & beautiful scientific visualizations. Python programmers with OpenGL, providing both an introduction to modern Really easy to program something using the fixed-pipeline and libraries suchĪs Pyglet but things have became more difficult with the introduction of theĭynamic graphic pipeline in 2004. Python and OpenGL have a long but complicated story. ![]()
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