Python for Education: Computational Methods for Nonlinear Systems
arXiv:0704.3182
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.
Submitted to special issue of CiSE