DocumentCode
813107
Title
Python for Education: Computational Methods for Nonlinear Systems
Author
Myers, C.R. ; Sethna, J.P.
Author_Institution
Cornell Univ., Ithaca
Volume
9
Issue
3
fYear
2007
Firstpage
75
Lastpage
79
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;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2007.56
Filename
4160262
Link To Document