I don’t see any reason why SSE couldn’t be added as tags in the Wheel filename 
fwiw.

That doesn’t help for things like MKL though.

On Jan 29, 2014, at 5:50 PM, David Cournapeau <courn...@gmail.com> wrote:

> 
> 
> 
> On Wed, Jan 29, 2014 at 10:27 PM, Chris Barker <chris.bar...@noaa.gov> wrote:
> On Wed, Jan 29, 2014 at 2:04 PM, David Cournapeau <courn...@gmail.com> wrote:
> I think the SSE issue is a bit of a side discussion: most people who care 
> about performance already know how to install numpy. What we care about here 
> are people who don't care so much about fast eigenvalue decomposition, but 
> want to use e.g. pandas. Building numpy in a way that supports every 
> architecture is both doable and acceptable IMO.
> 
> Exactly -- I'm pretty sure SSE2 is being suggested because that's the lowest 
> common denominator that we expect to see a lot of -- if their really are a 
> lot of non-SSE-2 machines out there we could leave that off, too. 
> 
> The failure mode is fairly horrible though, and the gain is not that 
> substantial anyway compared to really optimized installation (MKL, etc... as 
> provided by Continuum or us).
>  
> Building numpy wheels is not hard, we can do that fairly easily (I have 
> already done so several times, the hard parts have nothing to do with wheel 
> or even python, and are related to mingw issues on win 64 bits).
> 
> David,
> 
> Where is numpy as with building "out of the box" with the python.org binary 
> for Windows, and the "standard" MS compilers that are used with those builds. 
> That used to be an easy "python setup.py install" away -- has that changed? 
> If so, is this a known bug, or a known we-aren't-supporting-that?
> 
> i.e. it would be nice if anyone setup to build C extensions could "just build 
> numpy".
> 
> This has always been possible, and if not, that's certainly considered as a 
> bug (I would be eager to fix).
> 
> Numpy is actually fairly easy to build if you have a C Compiler (which is the 
> obvious pain point on windows). Scipy, and fortran is where things fall apart.
> 
> David
> _______________________________________________
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