[Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

Ralf Gommers ralf.gommers@gmail....
Sat Mar 23 06:21:21 CDT 2013


On Fri, Mar 22, 2013 at 10:39 PM, Colin J. Williams
<cjwilliams43@gmail.com>wrote:

>  On 20/03/2013 11:12 AM, Frédéric Bastien wrote:
>
> On Wed, Mar 20, 2013 at 11:01 AM, Colin J. Williams<cjwilliams43@gmail.com> <cjwilliams43@gmail.com> wrote:
>
>  On 20/03/2013 10:30 AM, Frédéric Bastien wrote:
>
>  Hi,
>
> win32 do not mean it is a 32 bits windows. sys.platform always return
> win32 on 32bits and 64 bits windows even for python 64 bits.
>
> But that is a good question, is your python 32 or 64 bits?
>
>  32 bits.
>
>  That explain why you have memory problem but not other people with 64
> bits version. So if you want to work with bigger input, change to a
> python 64 bits.
>
> Fred
>
>
>  Thanks to the people who responded to my report that numpy, with Python
> 3.2 was significantly slower than with Python 2.7.
>
> I have updated to numpy 1.7.0 for each of the Pythons 2.7.3, 3.2.3 and
> 3.3.0.
>
> The Pythons came from python.org and the Numpys from PyPi.  The SciPy
> site still points to Source Forge, I gathered from the responses that
> Source Forge is no longer recommended for downloads.
>

That's not the case. The official binaries for NumPy and SciPy are on
SourceForge. The Windows installers on PyPI are there to make easy_install
work, but they're likely slower than the SF installers (no SSE2/SSE3
instructions).

Ralf
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