On 10/26/07, Sebastian Haase <[EMAIL PROTECTED]> wrote: > > 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 ?
Sadly, I don't think numexpr will help here; It basically handles the same cases as numpy; only faster because it can avoid a lot of temporaries. I think he's going to need Psyco, Pyrex, Weave or similar. -- . __ . |-\ . . [EMAIL PROTECTED]
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