Python for Education: Computational Methods for Nonlinear Systems
By Christopher R. Myers, James P. Sethna. 2007
22 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence
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In Artificial Intelligence
Citations in the corpus
- Exploring Network Structure, Dynamics, and Function using NetworkX (2008, background): “settings [ MS07 ]. The SAGE open source mathematics system [Ste08] has incorporated NetworkX and extended it with even more graph-theoretical algorithms and functions.”