[python-win32] building a complicated Python application on Windows
Trent Nelson
trent at trent.me
Wed Dec 16 13:52:42 EST 2015
Conda is well suited to this. I use it to bundle all sorts of stuff on Windows. (You write recipes (see https://github.com/conda/conda-recipes for examples), then 'conda build' them, which produces a package that can be subsequently installed with conda install. Can sign up to anaconda.org and then upload the package into your own channel, such that a plain 'conda install -c janssen foobar' will install your package and all the deps (which were specified in the recipe/meta.yaml).
Sent from my iPhone
> On Dec 16, 2015, at 13:00, Bill Janssen <janssen at parc.com> wrote:
>
> I'd like to build a Python-based deliverable for Windows. It includes
> many gnarly packages, like numpy, scipy, statsmodel, ggplot, kivy, ZODB,
> ZEO, etc. They include Cython modules (and scipy may even require
> Fortran, for all I know).
>
> On OS X, I build this all from source by starting with Kivy, which is
> packaged as a venv inside an OS X application, and add in the other
> stuff. But I'm not sure this is the best way to proceed on Windows (7,
> 8, and 10). I'm also used to using mingw on Windows, but again, I'm
> not sure that's appropriate.
>
> Any advice would be appreciated...
>
> Bill
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