Hi Maciej. I said that based on what was discussed in Armin+Antonio's talk at EuroPython. If it takes 6+months for a numpy re-implementation then I'm suggesting that we're into 2012. I'd be *very* happy to be proved wrong!
Do Python 'array' objects run faster than lists in PyPy? I believe that in CPython they run at the same speed (i.e. they're just a convenient storage system, they don't offer any of numpy's efficient math benefits). Does the micronumpy library support doubles yet? If so I'd be happy to give it a go. If 'micronumpy' is the wrong name then tell me where I should look, I'm just going on what I've remembered from the PyPy-blog discussions about numpy support. Cheers, Ian. On 3 July 2011 18:38, Maciej Fijalkowski <fij...@gmail.com> wrote: > On Sun, Jul 3, 2011 at 7:34 PM, Maciej Fijalkowski <fij...@gmail.com> wrote: >> On Sun, Jul 3, 2011 at 12:03 PM, Ian Ozsvald <i...@ianozsvald.com> wrote: >>> Cool :-) Thanks Antonio. I'd left a note to myself in the report >>> because I figured expanding the math to the primitive operations might >>> help PyPy (seeing as it helped Cython and ShedSkin too). I'll redo the >>> timings and add them to the v0.2 report (probably in two weeks time - >>> I'm waiting for feedback from several people). >>> >>> I've already tried a trunk version of PyPy and it was faster than >>> PyPy, I'll take whichever build is the most recent and replace PyPy1.5 >>> for the next updates to the report. If there is a trick to e.g. >>> re-ordering the operations so it runs faster in PyPy, I'd be happy to >>> accept a modification. >>> >> >> You can also use numpy arrays (or array from array module) on PyPy to >> get even more speedups. It's annoying because as of now pypy doesn't >> support much of numpy (1D float arrays only with ops please :) but >> it's a good start >> > > "During 2011 at least it looks as > though numpy integration will not happen." I personally challenge this > statement :) > -- Ian Ozsvald (A.I. researcher, screencaster) i...@ianozsvald.com http://IanOzsvald.com http://SocialTiesApp.com/ http://MorConsulting.com/ http://blog.AICookbook.com/ http://TheScreencastingHandbook.com http://FivePoundApp.com/ http://twitter.com/IanOzsvald _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
