Hi all, Just as a heads up: Nathaniel and I wrote a draft PEP on binary linux wheels that is now being discussed on distutils-sig, so you can check that out and participate in the conversation if you're interested.
- PEP on python.org: https://www.python.org/dev/peps/pep-0513/ - PEP on github with some typos fixed: https://github.com/manylinux/manylinux/blob/master/pep-513.rst - Email archive: https://mail.python.org/pipermail/distutils-sig/2016-January/027997.html -Robert On Tue, Jan 19, 2016 at 10:05 AM, Ralf Gommers <ralf.gomm...@gmail.com> wrote: > > > On Tue, Jan 19, 2016 at 5:57 PM, Chris Barker - NOAA Federal < > chris.bar...@noaa.gov> wrote: > >> >> > 2) continue to support those users fairly poorly, and at substantial >> > ongoing cost >> >> I'm curious what the cost is for this poor support -- throw the source >> up on PyPi, and we're done. The cost comes in when trying to build >> binaries... >> > > I'm sure Nathaniel means the cost to users of failed installs and of numpy > losing users because of that, not the cost of building binaries. > > > Option 1 would require overwhelming consensus of the community, which >> > for better or worse is presumably not going to happen while >> > substantial portions of that community are still using pip/PyPI. >> >> Are they? Which community are we talking about? The community I'd like >> to target are web developers that aren't doing what they think of as >> "scientific" applications, but could use a little of the SciPy stack. >> These folks are committed to pip, and are very reluctant to introduce >> a difficult dependency. Binary wheels would help these folks, but >> that is not a community that exists yet ( or it's small, anyway) >> >> All that being said, I'd be happy to see binary wheels for the core >> SciPy stack on PyPi. It would be nice for people to be able to do a >> bit with Numpy or pandas, it MPL, without having to jump ship to a >> whole new way of doing things. >> > > This is indeed exactly why we need binary wheels. Efforts to provide those > will not change our strong recommendation to our users that they're better > off using a scientific Python distribution. > > Ralf > > > _______________________________________________ > 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
