On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock
On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon
wrote: I suspect that many of the maintainers of major scipy-ecosystem projects are aware of these (or other similar) travis wheel caches, but would guess that the pool of travis-ci python users who weren't aware of these wheel caches is much much larger. So there will still be a lot of travis-ci clock cycles saved by manylinux wheels.
-Robert
Yes exactly. Availability of NumPy Linux wheels on PyPI is definitely something I would suggest adding to the release notes. Hopefully this will help trigger a general availability of wheels in the numpy-ecosystem :)
In the case of Travis CI, their VM images for Python already have a version of NumPy installed, but having the latest version of NumPy and SciPy etc available as Linux wheels would be very nice.
We're very nearly there now. The latest versions of numpy, scipy, scikit-image, pandas, numexpr, statsmodels wheels for testing at http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn... Please do test with: python -m install --upgrade pip pip install --trusted-host=ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com --find-links=http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn... numpy scipy scikit-learn numexpr python -c 'import numpy; numpy.test("full")' python -c 'import scipy; scipy.test("full")' We would love to get any feedback as to whether these work on your machines. Cheers, Matthew