[Distutils] Binary dependency management, round 2 :)

[Oscar Benjamin]

On 6 December 2013 13:54, Nick Coghlan <ncoghlan at gmail.com> wrote:
> On 4 December 2013 21:10, Nick Coghlan <ncoghlan at gmail.com> wrote:
>> == Regarding conda ==
>>
>> In terms of providing an answer to the question "Where does conda fit
>> in the scheme of packaging tools?", my conclusion from the thread is
>> that once a couple of security related issues are fixed (think PyPI
>> before the rubygems.org compromise for the current state of conda's
>> security model), and once the Python 3.3 compatibility issue is
>> addressed on Windows, it would be reasonable to recommend it as one of
>> the current options for getting hold of pre-built versions of the
>> scientific Python stack.
>>
>> I think this is important enough to warrant a "NumPy and the
>> Scientific Python stack" section in the user guide (with Linux distro
>> packages, Windows installers and conda all discussed as options):
>>
>> https://bitbucket.org/pypa/python-packaging-user-guide/issue/37/add-a-dedicated-numpy-and-the-scientific
>
> I created a draft of this new section at
> https://bitbucket.org/pypa/python-packaging-user-guide/pull-request/12/recommendations-for-numpy-et-al/diff

It's probably worth listing each of the full scientific Python
distributions on this page (or just linking to it), rather than just
Anaconda:
http://www.scipy.org/install.html


Oscar