On Nov 19, 2007 4:05 PM, 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.
We use it for the core of long-running computations: http://dx.doi.org/10.1016/j.acha.2007.08.001 The innermost loops use numpy arrays, with some hand-coded C to do optimized dot-like operations without any error or type checking. The entire code is an amalgam of numpy, scipy, matplotlib, mayavi and pyx, with pyrex, some in-house Fortran wrapped with f2py, hand-coded C, and a bit of auto-generated C++ loaded at runtime with weave.inline(). While the times listed above are fairly short (small electrostatics examples), we are using this inside long-running quantum mechanics codes (papers in review now). Cheers, f _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
