I think that should work fine for the `pip install scikit-learn`, however, I 
think the problem was with upgrading, right?
E.g., if you run

pip install scikit-learn --upgrade 

it would try to upgrade numpy and scipy as well, which may not be desired. I 
think the only workaround would be to run

pip install scikit-learn --upgrade --no-deps

unless they changed the behavior recently. I mean, it’s not really a problem, 
but many users may not know about the --no-deps flag.

> On Jul 28, 2016, at 2:44 PM, Andreas Mueller <t3k...@gmail.com> wrote:
> 
> Hi all.
> I think since the pipy ecosystem improved a lot, we should properly declare 
> the scipy
> and numpy dependencies, so that ``pip install scikit-learn`` works properly.
> The argument why we did not do this previously was that this would try to 
> download
> and build numpy and scipy, which are pretty much guaranteed to fail / result
> in a very slow installation. This is no longer true.
> 
> Any opinions?
> 
> Andy
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> scikit-learn@python.org
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