Hi! > Along with test coverage, have any of you considered any systematic > monitoring of NumPy performance?
I'm mildly obsessed with performance and benchmarking of NumPy. I used to use a lot of MATLAB until a year back and I tend to compare Python performance with it all the time. I generally don't feel happy until I'm convinced that I've extracted the last bit of speed out of my Python code. I think the generalization of this idea is more or less equivalent to performance benchmarking. Of course, I know there's a lot more than 'MATLAB vs Python' to it. I'd be more than happy to be involved. GSoC or otherwise. Where do I start? Thanks _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
