>
> -Original Message-----
> From: Bill Janssen [mailto:jans...@parc.com]
> Sent: Friday, December 18, 2015 8:02 PM
> To: Trent Nelson
> Cc: python-win32@python.org; jans...@parc.com
> Subject: Re: [python-win32] building a complicated Python application
> on Windows
&
en [mailto:jans...@parc.com]
> Sent: Friday, December 18, 2015 8:02 PM
> To: Trent Nelson
> Cc: python-win32@python.org; jans...@parc.com
> Subject: Re: [python-win32] building a complicated Python application on
> Windows
>
> Hmmm, I'm getting an error message from &#x
ent Nelson
Cc: python-win32@python.org; jans...@parc.com
Subject: Re: [python-win32] building a complicated Python application on Windows
Hmmm, I'm getting an error message from 'conda build':
Warning: Couldn't find Visual Studio: 'C:\\Program Files (x86)\\Common
Files\
Hmmm, I'm getting an error message from 'conda build':
Warning: Couldn't find Visual Studio: 'C:\\Program Files (x86)\\Common
Files\\Microsoft\\Vi...'
So I guess installing conda-build doesn't do everything it needs to?
How would I know which version of Visual Studio to install, and where to
fin
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 wr
Trent Nelson 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.
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 an
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,
