Thanks Matthew! I just installed it and ran the tests and it all works
(except for test_system_info.py that fails because I am missing a
vcvarsall.bat on that system but this is expected).
--
Olivier
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On Sat, Mar 5, 2016 at 10:40 AM, Matthew Brett wrote:
> Hi,
>
> On Fri, Mar 4, 2016 at 8:40 PM, Nathaniel Smith wrote:
>> On Fri, Mar 4, 2016 at 7:30 PM, wrote:
>> [...]
>>> AFAIK, numpy doesn't provide access to BLAS/LAPACK. scipy
+1 from me. I could prepare scipy builds based on these numpy builds.
Carl
2016-03-05 19:40 GMT+01:00 Matthew Brett :
> Hi,
>
> On Fri, Mar 4, 2016 at 8:40 PM, Nathaniel Smith wrote:
> > On Fri, Mar 4, 2016 at 7:30 PM, wrote:
> >
Hi,
On Fri, Mar 4, 2016 at 8:40 PM, Nathaniel Smith wrote:
> On Fri, Mar 4, 2016 at 7:30 PM, wrote:
> [...]
>> AFAIK, numpy doesn't provide access to BLAS/LAPACK. scipy does. statsmodels
>> is linking to the installed BLAS/LAPACK in cython code through
On Fri, Mar 4, 2016 at 7:30 PM, wrote:
[...]
> AFAIK, numpy doesn't provide access to BLAS/LAPACK. scipy does. statsmodels
> is linking to the installed BLAS/LAPACK in cython code through scipy. So far
> we haven't seen problems with different versions. I think scipy
On Fri, Mar 4, 2016 at 1:38 PM, Matthew Brett
wrote:
> On Fri, Mar 4, 2016 at 12:29 AM, David Cournapeau
> wrote:
> >
> >
> > On Fri, Mar 4, 2016 at 4:42 AM, Matthew Brett
> > wrote:
> >>
> >> Hi,
> >>
> >> Summary:
> >>
>
+1 -- thanks for doing all this work.
There is a HUGE amount you can do with numpy that doesn't give a whit about
how fast .dot() et all are. If you really do need that to be fast as
possible, you can pug in a faster build later.
This is great.
Just as one example -- I teach a general python
On Fri, Mar 4, 2016 at 12:29 AM, David Cournapeau wrote:
>
>
> On Fri, Mar 4, 2016 at 4:42 AM, Matthew Brett
> wrote:
>>
>> Hi,
>>
>> Summary:
>>
>> I propose that we upload Windows wheels to pypi. The wheels are
>> likely to be stable and relatively
On Fri, Mar 4, 2016 at 4:42 AM, Matthew Brett
wrote:
> Hi,
>
> Summary:
>
> I propose that we upload Windows wheels to pypi. The wheels are
> likely to be stable and relatively easy to maintain, but will have
> slower performance than other versions of numpy linked
Hi,
Summary:
I propose that we upload Windows wheels to pypi. The wheels are
likely to be stable and relatively easy to maintain, but will have
slower performance than other versions of numpy linked against faster
BLAS / LAPACK libraries.
Background:
There's a long discussion going on at
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