[Numpy-discussion] Should I use pip install numpy in linux?

[Robert McGibbon]

Does anyone know if there's been any movements with the PyPI folks on
allowing linux wheels to be uploaded?

I know you can never be certain what's provided by the distro, but it seems
like if Anaconda can solve the
cross-distro-binary-distribution-of-compiled-python-extensions problem,
there shouldn't be much technically different for Linux wheels.

-Robert

On Fri, Jan 8, 2016 at 9:12 AM, Matthew Brett <matthew.brett at gmail.com>
wrote:

> Hi,
>
> On Fri, Jan 8, 2016 at 4:28 PM, Yuxiang Wang <yw5aj at virginia.edu> wrote:
> > Dear Nathaniel,
> >
> > Gotcha. That's very helpful. Thank you so much!
> >
> > Shawn
> >
> > On Thu, Jan 7, 2016 at 10:01 PM, Nathaniel Smith <njs at pobox.com> wrote:
> >> On Thu, Jan 7, 2016 at 6:18 PM, Yuxiang Wang <yw5aj at virginia.edu>
> wrote:
> >>> Dear all,
> >>>
> >>> I know that in Windows, we should use either Christoph's package or
> >>> Anaconda for MKL-optimized numpy. In Linux, the fortran compiler issue
> >>> is solved, so should I directly used pip install numpy to get numpy
> >>> with a reasonable BLAS library?
> >>
> >> pip install numpy should work fine; whether it gives you a reasonable
> >> BLAS library will depend on whether you have the development files for
> >> a reasonable BLAS library installed, and whether numpy's build system
> >> is able to automatically locate them. Generally this means that if
> >> you're on a regular distribution and remember to install a decent BLAS
> >> -dev or -devel package, then you'll be fine.
> >>
> >> On Debian/Ubuntu, 'apt install libopenblas-dev' is probably enough to
> >> ensure something reasonable happens.
> >>
> >> Anaconda is also an option on linux if you want MKL (or openblas).
>
> I wrote a page on using pip with Debian / Ubuntu here :
> https://matthew-brett.github.io/pydagogue/installing_on_debian.html
>
> Cheers,
>
> Matthew
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