This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Python for Education: Computational Methods for Nonlinear Systems
May/June 2007 (vol. 9 no. 3)
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.
Index Terms:
Python, education, simulation, visualization
Citation:
Christopher R. Myers, James P. Sethna, "Python for Education: Computational Methods for Nonlinear Systems," Computing in Science and Engineering, vol. 9, no. 3, pp. 75-79, May-June 2007, doi:10.1109/MCSE.2007.56
Usage of this product signifies your acceptance of the Terms of Use.