On 1/27/2017 4:38 AM, Nathaniel Smith wrote:
On Fri, Jan 27, 2017 at 1:32 AM, Stephan Houben
<stephanh42-re5jqeeqqe8avxtiumw...@public.gmane.org> wrote:
Hi all,
FWIW, I got the following statement from here:
https://github.com/numpy/numpy/wiki/Numerical-software-on-Windows
"Standard numpy and scipy binary releases on Windows use pre-compiled ATLAS
libraries and are 32-bit only because of the difficulty of compiling ATLAS
on 64-bit Windows. "
Might want to double-check with the numpy folks; it would
be too bad if numpy wouldn't work on the preferred Windows Python.
That's out of date
Would be nice if it were updated...
-- official numpy releases have switched from ATLAS
to OpenBLAS (which requires some horrible frankencompiler system, but
it seems to work for now...), and there are 32- and 64-bit Windows
wheels up on PyPI: https://pypi.python.org/pypi/numpy/
and from
NumPy, a fundamental package needed for scientific computing with Python.
Numpy+MKL is linked to the Intel® Math Kernel Library and includes
required DLLs in the numpy.core directory.
numpy‑1.11.3+mkl‑cp27‑cp27m‑win32.whl
numpy‑1.11.3+mkl‑cp27‑cp27m‑win_amd64.whl
etc.
All the several packages that require numpy also come in both versions.
64-bit is definitely what I'd recommend as a default to someone
wanting to use numpy, because when working with arrays it's too easy
to hit the 32-bit address space limit.
-n
--
Terry Jan Reedy
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