Python for Education: Computational Methods for Nonlinear Systems
Myers, C.R.; Sethna, J.P.
Computing in Science & Engineering
Volume 9, Issue 3, May-June 2007 Page(s):75 - 79
Digital Object Identifier   10.1109/MCSE.2007.56
Summary:The authors' interdisciplinary computational methods course uses Python and associated numerical and visualization libraries to enable students to implement simulations for several different course modules, which highlight the breadth and flexibility of Python-powered computational environments.

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