I agree on the Conda suggestion.
If you haven't used Gohlke's Windows libraries at UCI
http://www.lfd.uci.edu/~gohlke/pythonlibs/
you can look there as well. All are Intel MKL optimized when possible
(as is Enthought's distro)
- Ray
At 05:05 PM 12/16/2015, Bill Janssen wrote:
Trent Nelson <tr...@trent.me> wrote:
> Conda is well suited to this. I use it to bundle all sorts of
stuff on Windows.
Thanks, Trent. That looks possible. Though the documentation is a bit
crufty; "source activate foo" doesn't do much on my Mac, because
"activate" isn't a script in the current directory.
Bill
> (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 <jans...@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
> > _______________________________________________
> > python-win32 mailing list
> > python-win32@python.org
> > https://mail.python.org/mailman/listinfo/python-win32
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