>>
>> Cheers,
>> Ondrej
>>
>>
>
> Hi Ondrej,
>
> will numpy 1.7.0 final support Python 3.3? The recent patch in the
> master branch seems to work well.
>
> I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
> maintenance/1.7.x branch again
ther help for this release.
> >
> > Cheers,
> > Ondrej
> >
> >
>
> Hi Ondrej,
>
> will numpy 1.7.0 final support Python 3.3? The recent patch in the
> master branch seems to work well.
>
> I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
>
tested a win-amd64-py2.7\msvc9\MKL build of the numpy
maintenance/1.7.x branch against a number of package binaries from
<http://www.lfd.uci.edu/~gohlke/pythonlibs/>.
The test results are at
<http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.
Announcing carray 0.5
=
What's new
--
carray 0.5 supports completely transparent storage on-disk in addition
to memory. That means that everything that can be done with an
in-memory container can be done using the disk instead.
The advantages of a disk-based containe
Hi,
I'm pleased to announce the availability of the first beta release of
NumPy 1.7.0b1.
Sources and binary installers can be found at
https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
Please test this release and report any issues on the numpy-discussion
mailing list. The following pr
Le lundi 20 août 2012 à 22:04 +0200, Ralf Gommers a écrit :
> https://github.com/FabricioS/scipy/commit/f867f2b8133d3f6ea47d449bd760a77a7c90394e
> This is probably not worth the cost for existing users imho. It is a
> backwards compatibility break that doesn't really add anything except
> for some