Hi Nathaniel, Will you be providing portable Linux wheels aka manylinux1? https://www.python.org/dev/peps/pep-0513/
Does this also open up the door to releasing wheels for SciPy too? While speeding up "pip install" would be of benefit in itself, I am particularly keen to see this for use within automated testing frameworks like TravisCI where currently having to install NumPy (and SciPy) from source is an unreasonable overhead. Many thanks to everyone working on this, Peter On Tue, Mar 15, 2016 at 11:33 PM, Nathaniel Smith <n...@pobox.com> wrote: > Hi all, > > Just a heads-up that we're planning to upload Linux wheels for numpy > to PyPI soon. Unless there's some objection, these will be using > ATLAS, just like the current Windows wheels, for the same reasons -- > moving to something faster like OpenBLAS would be good, but given the > concerns about OpenBLAS's reliability we want to get something working > first and then worry about making it fast. (Plus it doesn't make sense > to ship different BLAS libraries on Windows versus Linux -- that just > multiplies our support burden for no reason.) > > -n > > -- > Nathaniel J. Smith -- https://vorpus.org > _______________________________________________ > 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