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arXiv · 0704.3182

Python for Education: Computational Methods for Nonlinear Systems

Christopher R. Myers·James. P. Sethna
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Abstract

We describe a novel, interdisciplinary, computational methods course that uses Python and associated numerical and visualization libraries to enable students to implement simulations for a number of different course modules. Problems in complex networks, biomechanics, pattern formation, and gene regulation are highlighted to illustrate the breadth and flexibility of Python-powered computational environments.

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BibTeXRIS

Christopher R. Myers, James. P. Sethna. 2007-04-24. Python for Education: Computational Methods for Nonlinear Systems. https://arxiv.org/abs/0704.3182

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