Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Sun, Dec 8, 2013 at 2:59 AM, Ralf Gommers wrote: > I'm under the impression that > $ pip install --use-wheel --no-index --find-links=/local_download_dir > ipython > and > $ pip install --use-wheel --no-index --find-links=hosting_url ipython > should both work. > Cool that _should_ be

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Sat, Dec 7, 2013 at 8:01 PM, Chris Barker wrote: > On Sat, Dec 7, 2013 at 4:09 AM, Ralf Gommers wrote: > > Wow -- took a little while, but presto! A pile of wheels, ready to go: >> >>> >>> $ ls wheelhouse/ >>> Jinja2-2.7.1-py27-none-any.whl >>> pyzmq-14.0.1-cp27-none-macosx_10_6_intel.whl >>>

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

> > Temporarily you can put them on SourceForge or on any public download >> site. Then people can download and install with wheel. If you send me a >> link to those files, then I'll put them up together with the numpy wheels >> on SF. >> > > Thanks -- I'll try to do that later today.-- > Done:

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Sat, Dec 7, 2013 at 4:09 AM, Ralf Gommers wrote: > Wow -- took a little while, but presto! A pile of wheels, ready to go: > >> >> $ ls wheelhouse/ >> Jinja2-2.7.1-py27-none-any.whl >> pyzmq-14.0.1-cp27-none-macosx_10_6_intel.whl >> MarkupSafe-0.18-cp27-none-macosx_10_6_intel.whl >> readline-6

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Sat, Dec 7, 2013 at 7:44 AM, Chris Barker wrote: > On Fri, Dec 6, 2013 at 10:06 AM, Ralf Gommers wrote: > >> One of the things that we should start doing for numpy is distribute >> releases as wheels. On OS X at least this is quite simple, so I propose to >> just experiment with it. >> > > OK

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 10:06 AM, Ralf Gommers wrote: > One of the things that we should start doing for numpy is distribute > releases as wheels. On OS X at least this is quite simple, so I propose to > just experiment with it. > OK -- maybe on the wrong list, but an itch of mine is OSX binaries

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 9:37 PM, David Cournapeau wrote: > > > > On Fri, Dec 6, 2013 at 8:28 PM, Oscar Benjamin > wrote: > >> On 6 December 2013 20:09, Chris Barker wrote: >> >> 2. in the absence of statistics, can we do an experiment by putting one >> >> wheel up on PyPi which contains SSE3 ins

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 10:01 PM, Christoph Gohlke wrote: > On 12/6/2013 12:40 PM, David Cournapeau wrote: > > > > > > On Fri, Dec 6, 2013 at 8:38 PM, Christoph Gohlke > > wrote: > > > > Has anyone succeeded building wheels for numpy, scipy, and > matplotlib? > > > > I

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On 12/6/2013 12:40 PM, David Cournapeau wrote: > > > > On Fri, Dec 6, 2013 at 8:38 PM, Christoph Gohlke > wrote: > > On 12/6/2013 10:06 AM, Ralf Gommers wrote: > > Hi all, > > > > There are a few discussions on packaging for the scientific Python stack >

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 8:38 PM, Christoph Gohlke wrote: > On 12/6/2013 10:06 AM, Ralf Gommers wrote: > > Hi all, > > > > There are a few discussions on packaging for the scientific Python stack > > ongoing, on the NumFOCUS and distutils lists: > > https://groups.google.com/forum/#!topic/numfocus/

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On 12/6/2013 10:06 AM, Ralf Gommers wrote: > Hi all, > > There are a few discussions on packaging for the scientific Python stack > ongoing, on the NumFOCUS and distutils lists: > https://groups.google.com/forum/#!topic/numfocus/mVNakFqfpZg >

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 8:28 PM, Oscar Benjamin wrote: > On 6 December 2013 20:09, Chris Barker wrote: > >> 2. in the absence of statistics, can we do an experiment by putting one > >> wheel up on PyPi which contains SSE3 instructions, for python 3.3 I > propose, > >> and seeing for how many (if a

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On 6 December 2013 20:09, Chris Barker wrote: >> 2. in the absence of statistics, can we do an experiment by putting one >> wheel up on PyPi which contains SSE3 instructions, for python 3.3 I propose, >> and seeing for how many (if any) users this goes wrong? > > > sounds good -- it looks like SSE

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On Fri, Dec 6, 2013 at 10:06 AM, Ralf Gommers wrote: > One of the things that we should start doing for numpy is distribute > releases as wheels. On OS X at least this is quite simple, so I propose to > just experiment with it. I can create some to try out and put them on a > separate folder on S

Re: [Numpy-discussion] distributing wheels & SSE/superpack options

On 06.12.2013 19:06, Ralf Gommers wrote: > Hi all, > > There are a few discussions on packaging for the scientific Python stack > ongoing, on the NumFOCUS and distutils lists: > https://groups.google.com/forum/#!topic/numfocus/mVNakFqfpZg > https://groups.google.com/forum/#!topic/numfocus/HUcwXTM_

[Numpy-discussion] distributing wheels & SSE/superpack options

Hi all, There are a few discussions on packaging for the scientific Python stack ongoing, on the NumFOCUS and distutils lists: https://groups.google.com/forum/#!topic/numfocus/mVNakFqfpZg https://groups.google.com/forum/#!topic/numfocus/HUcwXTM_jNY http://thread.gmane.org/gmane.comp.python.distuti