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rougier

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Researcher in computational and cognitive neuroscience supporting open source, open access and open science.

Funding Links: https://github.com/sponsors/rougier

GitHub Sponsors Profile

I'm a researcher in computational neuroscience investigating decision making, learning and cognition. Beside neuroscience, I'm also interested in open and reproducible science (I've co-founded ReScience C with Konrad Hinsen and wrote the article Transforming Code into Scientific Contribution), scientific visualization (I've created glumpy, co-created VisPy and authored the popular Ten Simple Rules for Better Figures article), Science outreach (e.g. The Conversation) and computer graphics (especially digital typography).
I've wrote several open access books (From Pyhon to Numpy, Python+OpenGL and Scientific Visualization: Python+Matplotlib) and created several resources such as 100 Numpy exercises and Matplotlib cheat sheet.
I'm also an Emacs hacker (N Λ N O Emacs, Elegant Emacs).

Featured Works

rougier/scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

Language: Python - Stars: 10721
rougier/from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

Language: Python - Stars: 2061
rougier/numpy-100

100 numpy exercises (with solutions)

Language: Python - Stars: 12231
rougier/matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

Language: Python - Stars: 2900
rougier/elegant-emacs

A very minimal but elegant emacs (I think)

Language: Emacs Lisp - Stars: 1370
rougier/nano-emacs

GNU Emacs / N Λ N O - Emacs made simple

Language: Emacs Lisp - Stars: 2578

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