> I thought this email could be relevant for those interested in SciPy / Numpy > on pypy. With enthought implementing a smaller core and using compatibility > layers for alternative platforms, it would seem to be a good basis for a > pypy port.
All I can do is give a BIG +1 to anything that can get numpy/scipy up more quickly. PyPy is starting to give us the speed we need for statistical/scientific work on python (the speed it still lacks compared to C or Java is made up for, for my purposes, by the ease of writing python compared to those languages). The recent 64-bit functionality lets us process a lot of data. The fast-forward branch is giving us the multiprocessing we need. (I recognize that there are other solutions, but for simple things we need to write quickly, the multiprocessing module is really sweet.) The main thing missing now is numpy/scipy. The addition of that will make PyPy a huge win in the scientific community, IMO. Anyway, I mention it in case the opinion of one person who is using Python in production for statistical processing is of interest. -- Gary Robinson CTO Emergent Discovery, LLC personal email: [email protected] work email: [email protected] Company: http://www.emergentdiscovery.com Blog: http://www.garyrobinson.net _______________________________________________ [email protected] http://codespeak.net/mailman/listinfo/pypy-dev
