Re: [Numpy-discussion] Numpy 1.11.0b1 is out

2016-01-30 Thread Derek Homeier
On 27 Jan 2016, at 1:10 pm, Sebastian Berg wrote: > > On Mi, 2016-01-27 at 11:19 +, Nadav Horesh wrote: >> Why the dot function/method is slower than @ on python 3.5.1? Tested >> from the latest 1.11 maintenance branch. >> > > The explanation I think is that you

Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-30 Thread Ralf Gommers
On Fri, Jan 29, 2016 at 11:39 PM, Nathaniel Smith wrote: > It occurs to me that the best solution might be to put together a > .travis.yml for the release branches that does: "for pkg in > IMPORTANT_PACKAGES: pip install $pkg; python -c 'import pkg; pkg.test()'" > This might not

Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-30 Thread Nathaniel Smith
On Jan 30, 2016 9:27 AM, "Ralf Gommers" wrote: > > > > On Fri, Jan 29, 2016 at 11:39 PM, Nathaniel Smith wrote: >> >> It occurs to me that the best solution might be to put together a .travis.yml for the release branches that does: "for pkg in

Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-30 Thread Jeff Reback
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 >