[Distutils] Dynamic linking between Python modules (was: Beyond wheels 1.0: helping downstream, FHS and more)

[Wes Turner]

On Mon, May 18, 2015 at 12:50 PM, David Mertz <dmertz at continuum.io> wrote:

> This pertains more to the other thread I started, but I'm sort of becoming
> convinced--especially by Paul Moore's suggestion there--that the better
> approach is to grow conda (the tool) rather than shoehorn conda packages
> into pip.  Getting pip to recognize the archive format of conda would be
> easy enough alone, but that really doesn't cover the fact that 'conda ~=
> pip+virtualenv', and pip alone simply should not try to grow that latter
> aspect itself.  Plus pip is not going to be fully language agnostic, for
> various reasons, but including the fact that apt-get and yum and homebrew
> and ports already exist.
>
> So it might make sense to actually allow folks to push conda to budding
> web developers, if conda allowed installation (and environment management)
> of sdist packages on PyPI.  So perhaps it would be good if *this* worked:
>
>   % pip install conda
>   % conda install scientific_stuff
>   % conda install --sdist django_widget   # we know to look on PyPI
>
> Maybe that flag is mis-named, or could be omitted altogether.  But there's
> no conceptual reason that conda couldn't build an sdist fetched from PyPI
> into a platform specific binary matching the current user machine (and do
> all the metadata dependency and environment stuff the conda tool does).
>

Would this be different than:

    # miniconda
    conda install pip
    conda install scientific_stuff
    pip install django_widget

With gh:conda/conda-env, pip packages are in a pip: section of the
environment.yml file
For example:

    conda env export -n root

Then, to install pip: packages with pip:

    conda create -n example -f ./environment.yml



>
> On Mon, May 18, 2015 at 3:17 AM, Paul Moore <p.f.moore at gmail.com> wrote:
>
>> On 17 May 2015 at 23:50, Chris Barker <chris.barker at noaa.gov> wrote:
>> > I guess the key thing here for me is that I don't see pushing conda to
>> > budding web developers -- but what if web developers have the need for
>> a bit
>> > of the scipy stack? or???
>> >
>> > We really don't have a good solution for those folks.
>>
>> Agreed. My personal use case is as a general programmer (mostly
>> sysadmin and automation type of work) with some strong interest in
>> business data analysis and a side interest in stats.
>>
>> For that sort of scenario, some of the scipy stack (specifically
>> matplotlib and pandas and their dependencies) is really useful. But
>> conda is *not* what I'd use for day to day work, so being able to
>> install via pip is important to me. It should be noted that installing
>> via pip *is* possible - via some of the relevant projects having
>> published wheels, and the rest being available via Christoph Gohlke's
>> site either as wheels or as wininsts that I can convert. But that's
>> not a seamless process, so it's not something I'd be too happy
>> explaining to a colleague should I want to share the workload for that
>> type of thing.
>>
>> Paul
>> _______________________________________________
>> Distutils-SIG maillist  -  Distutils-SIG at python.org
>> https://mail.python.org/mailman/listinfo/distutils-sig
>>
>
>
>
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