I recently made the switch from Matlab to Python and am very interested in optimizing certain routines that I find too slow in python/numpy (long loops).
I have looked and learned about the different methods used for such problems such as blitz, weave and pyrex but had a question for more experienced developpers. It appears that pyrex is the fastest of the bunch with weave very close behind but at the same time pyrex requires entirely different modules while weave can be inserted almost painlessly into existing code. Is the speed gain and usefulness of pyrex severely limited by the extra maintenance required y having separate "fast" routines from the rest of the code files? I am greatly interested in finding out what more experienced developers feel about these issues given that I may be completely off track and missing on a useful tool(pyrex) thinking weave is better than it actually is and I am quite frankly afraid of writing routines in one format and realizing later that it creates problems that I need to rewrite. I have tried searching for previous similar posts but could not find any. My apologies if this is a repeat or a severly dumb question. Regards, Simon Berube _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
