There is numpy beta, and I think we haven't tested against it.
Apparently pandas tests against numpy master continuously, I think we
should do that too.
There are new test failures in the beta, which we should fix (and
possibly let them know if they are weird).
See this issue: https://github.com/scikit-learn/scikit-learn/issues/6330
If building numpy for each PR is to heavy, we could maybe restrict it to
the master branch.
I think doing the build on our side is more scalable than leaving that
to numpy.
We could also consider doing the same for scipy in some way.
-------- Forwarded Message --------
Subject: Re: [Numpy-discussion] Numpy 1.11.0b2 released
Date: Sat, 30 Jan 2016 13:40:03 -0500
From: Jeff Reback <jeffreb...@gmail.com>
Reply-To: Discussion of Numerical Python <numpy-discuss...@scipy.org>
To: Discussion of Numerical Python <numpy-discuss...@scipy.org>
just my 2c
it's fairly straightforward to add a test to the Travis matrix to grab
numpy wheels built numpy wheels (works for conda or pip installs).
so in pandas we r testing 2.7/3.5 against numpy master continuously
https://github.com/pydata/pandas/blob/master/ci/install-3.5_NUMPY_DEV.sh
On Jan 30, 2016, at 1:16 PM, Nathaniel Smith <n...@pobox.com
<mailto:n...@pobox.com>> wrote:
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