On 10/26/07, David Cournapeau <[EMAIL PROTECTED]> wrote: > P.S: IMHO, this is one of the main limitation of numpy (or any language > using arrays for speed; and this is really difficult to optimize: you > need compilation, JIT or similar to solve those efficiently).
This is where the scipy - sandbox numexpr project comes in - if I'm not misaken .... http://www.scipy.org/SciPyPackages/NumExpr Description The scipy.sandbox.numexpr package supplies routines for the fast evaluation of array expressions elementwise by using a vector-based virtual machine. It's comparable to scipy.weave.blitz (in Weave), but doesn't require a separate compile step of C or C++ code. I hope that more noise around this will result in more interest and subsequentially result in more support. I think numexpr might be one of the most powerful ideas in numpy / scipy "recently". Did you know about numexpr - David ? Cheers, Sebastian Haase _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
