On Wed, Jan 7, 2009 at 10:19, Nicolas ROUX <nicolas.r...@st.com> wrote: > Hi, > > I need help ;-) > I have here a testcase which works much faster in Matlab than Numpy. > > The following code takes less than 0.9sec in Matlab, but 21sec in Python. > Numpy is 24 times slower than Matlab ! > The big trouble I have is a large team of people within my company is ready > to replace Matlab by Numpy/Scipy/Matplotlib, > but I have to demonstrate that this kind of Python Code is executed with the > same performance than Matlab, without writing C extension. > This is becoming a critical point for us. > > This is a testcase that people would like to see working without any code > restructuring.
Basically, if you want efficient numpy code, you have to use numpy idioms. If you want to continue to use Matlab idioms, keep using Matlab. > The reasons are: > - this way of writing is fairly natural. > - the original code which showed me the matlab/Numpy performance differences > is much more complex, > and can't benefit from broadcasting or other numpy tips (I can later give > this code) Please do. Otherwise, we can't actually address your concerns. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
