On Oct 29, 2015 00:29, "Sandro Tosi" wrote:
>
> please, pretty please, do not disable setup.py install or at least
> keep providing a way for distribution (Debian in this case) to be able
> to build/install numpy in a temporary location for packaging reasons.
> pip is not the solution for us
What
I have installed all the OpenBLAS versions availables at the Fedora repos,
that include openMP and pthreads versions. But Numpy installed by pip on a
virtualenv seems to only link to the serial version. Is there a way to
convince it to use the parallel one?
Here are my libraries:
(py27)[david@SQU
On Tue, Oct 27, 2015 at 12:31 AM, Nathaniel Smith wrote:
> Hi all,
>
> Apparently it is not well known that if you have a Python project
> source tree (e.g., a numpy checkout), then the correct way to install
> it is NOT to type
>
> python setup.py install # bad and broken!
>
> but rather to
should be possible by putting this into: ~/.numpy-site.cfg
[openblas]
libraries = openblasp
LD_PRELOAD the file should also work.
On 29.10.2015 18:25, Daπid wrote:
> I have installed all the OpenBLAS versions availables at the Fedora
> repos, that include openMP and pthreads versions. But Numpy
On 29 October 2015 at 20:25, Julian Taylor
wrote:
> should be possible by putting this into: ~/.numpy-site.cfg
>
> [openblas]
> libraries = openblasp
>
> LD_PRELOAD the file should also work.
>
>
Thank!
I did some timings on a dot product of a square matrix of size 1 with
LD_PRELOADing the
On 29.10.2015 21:50, Daπid wrote:
>
> On 29 October 2015 at 20:25, Julian Taylor
> mailto:jtaylor.deb...@googlemail.com>>
> wrote:
>
> should be possible by putting this into: ~/.numpy-site.cfg
>
> [openblas]
> libraries = openblasp
>
> LD_PRELOAD the file should also work.
>
>
Hey all,
We are pleased to finally announce the release of matplotlib 1.5.0! It has
been over a year since the last feature release and we have had over 230
people contribute to this cycle.
This release of matplotlib has several major new features including
- Auto-redraw using the object-orien
Yay! I have been eagerly awaiting this! =D Thank you everyone!
On Fri, Oct 30, 2015 at 2:44 PM, Thomas Caswell
wrote:
> Hey all,
> We are pleased to finally announce the release of matplotlib 1.5.0! It has
> been over a year since the last feature release and we have had over 230
> people contr
