Err, slipped my mind that Donald is working on
https://github.com/pypa/packaging which also might end up being what I was
describing in my previous message
On 7 December 2014 at 20:28, Matthew Iversen m...@notevencode.com wrote:
Between setuptools / wheel / pip / virtualenv there is actually
Between setuptools / wheel / pip / virtualenv there is actually a good case
for a shared common code project to vendor from. The easiest example of
functionality contained within this would be version parsing, although
there are a number of other features as well (eg installing a wheel).
Wheels can't be required because they can be platform/python version
specific, being binary distributions. We can't demand that independent
developers support some combination of platforms and versions when their
computer might only be running one of them, simply because their wheel
might be
On 03/06/14 08:03, Wesley Huang wrote:
Hi there,
I am using a Mac and trying to install the package called statsmodel.
Based on available downloads, it seems i can only get it if i have a
PC? Or if not true, can you link me to where I'd be able to download it?
On 06/03/14 20:10, Marius Gedminas wrote:
On Wed, Mar 05, 2014 at 07:01:49AM -0500, Donald Stufft wrote:
On Mar 5, 2014, at 5:48 AM, anatoly techtonik techto...@gmail.com wrote:
JSON-RPC is a better choice for recommended external API,
because it doesn't rely on memory hungry and potentially
On the one hand, it's easy to see the allure of a zipimport-able format.
Grab a file, import it, use functionality straight away. It has an
attraction of self-containedness. On the other hand, python's dynamic
nature means that things are not as simple as Java jar's as Donald points
out. I agree
On 30/01/14 00:59, Nick Coghlan wrote:
On 29 January 2014 23:48, Donald Stufft don...@stufft.io wrote:
So what did you mean when you said We discussed it extensively before
PEP 427 was approved if you're now saying that it wasn't discussed.
Explicitly would be a better word:
Might I suggest you could upload some wheels (both windows and linux) to
testpypi, which afaik is pretty much made for this purpose?
https://wiki.python.org/moin/TestPyPI
People can easily install then with e.g. `pip install --index-url
https://testpypi.python.org/pypi numpy`, and see what tends
On 17/01/14 13:52, Hannes Schmidt wrote:
I read through the Removing dependency_links thread [1] and I beg
you not follow through with the deprecation and removal
of dependency_links and to rethink your approach.
The mentioned thread indicates that research was done to gauge the
popularity
