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Issue No.03 - May/June (2007 vol.9)
pp: 75-79
Christopher R. Myers , Cornell University
James P. Sethna , Cornell University
Our 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.
Python, education, simulation, visualization
Christopher R. Myers, James P. Sethna, "Python for Education: Computational Methods for Nonlinear Systems", Computing in Science & Engineering, vol.9, no. 3, pp. 75-79, May/June 2007, doi:10.1109/MCSE.2007.56
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