Python for Education: Computational Methods for Nonlinear Systems
| dc.creator | Myers, Christopher R. | |
| dc.creator | Sethna, James. P. | |
| dc.date | 2007-04-24 | |
| dc.date.accessioned | 2026-07-07T07:57:58Z | |
| dc.date.available | 2026-07-07T07:57:58Z | |
| dc.description | We describe a novel, interdisciplinary, computational methods course that uses Python and associated numerical and visualization libraries to enable students to implement simulations for a number of different course modules. Problems in complex networks, biomechanics, pattern formation, and gene regulation are highlighted to illustrate the breadth and flexibility of Python-powered computational environments. | |
| dc.description | Submitted to special issue of CiSE | |
| dc.identifier | https://arxiv.org/abs/0704.3182 | |
| dc.identifier | http://arxiv.org/abs/0704.3182 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/127844 | |
| dc.subject | Chaotic Dynamics | |
| dc.title | Python for Education: Computational Methods for Nonlinear Systems | |
| dc.type | text |