Title :
Python for Education: Computational Methods for Nonlinear Systems
Author :
Myers, C.R. ; Sethna, J.P.
Author_Institution :
Cornell Univ., Ithaca
Abstract :
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.
Keywords :
computer science education; educational courses; nonlinear systems; Python; computational environment; computational method; course module; education; nonlinear system; numerical library; visualization library; Animation; Complex networks; Computational modeling; Education; Educational programs; Libraries; Nonlinear systems; Packaging; Visualization; World Wide Web; Python; education; simulation; visualization;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2007.56
