On 8 Jan 2016 19:07, "Robert McGibbon" <rmcgi...@gmail.com> wrote: > > 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.br...@gmail.com> wrote: >> >> Hi, >> >> On Fri, Jan 8, 2016 at 4:28 PM, Yuxiang Wang <yw...@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 <n...@pobox.com> wrote: >> >> On Thu, Jan 7, 2016 at 6:18 PM, Yuxiang Wang <yw...@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 >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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