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). -n -- Nathaniel J. Smith -- http://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
