On Fri, Mar 22, 2013 at 2:39 PM, Colin J. Williams <cjwilliam...@gmail.com> wrote: > I have updated to numpy 1.7.0 for each of the Pythons 2.7.3, 3.2.3 and > 3.3.0. ... > The tests, which are available > here(http://web.ncf.ca/cjw/FP%20Summary%20over%20273-323-330.txt), show that > 3.2 is slower, but not to the same degree reported before.
Have posted your test code anywhere? Anyway, depending on how you did your timings, that looks to me like 3.* is a bit faster with small data, and pretty much within measurement error for the large datasets. And if the large ones are doing things with really big arrays (I'm assuming pretty big, as you're getting close to 32 bit memory limits...), then it's really hard to imagine how python version could make a noticeable difference -- the real work would be in the numpy code, and that's exactly the same on all python versions. If you are using BLAS or LAPACK stuff, then there might be some differences with the different builds, though I wouldn't expect so if you ar getting them from the same source. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion