--- Rahul Garg <[EMAIL PROTECTED]> wrote: > hi. > > thanks for ur responses .. so it looks like > python/numpy is used more > for gluing things together or doing things like > postprocessing. is > anyone using it for core calculations .. as in long > running python > calculations? > i used numpy myself for some nonlinear dynamics and > chaos related > calculations but they were usually very short > running only for a few > seconds at a time. > thanks, > rahul
I've used Python a little to solve ODEs for chaotic systems. More for time series analysis (attractor reconstruction and associated data analysis problems). These ran rather fast on the order of seconds or minutes. Lately, I've been coding up a package to solved Schrodinger's Equation for 2D arbitrarily shaped, infinite wall potentials. I've settled on a Boundary Element Approach to get the eigenfunctions in these systems. The goal is to study phenomena associated with quantum chaos in the semiclassical regime. These calculations tend to run on the order of 10s of minutes to an hour. I eventually will be writing C extensions for the slower running functions (bottle necks). I've done that before and it's a big help for speed. -- Lou Pecora, my views are my own. ____________________________________________________________________________________ Be a better sports nut! Let your teams follow you with Yahoo Mobile. Try it now. http://mobile.yahoo.com/sports;_ylt=At9_qDKvtAbMuh1G1SQtBI7ntAcJ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion