Am 02.11.2016 um 17:57 schrieb Donald Stufft:
> 
>> On Nov 2, 2016, at 12:49 PM, Nick Coghlan <ncogh...@gmail.com 
>> <mailto:ncogh...@gmail.com>> wrote:
>>
>>>
>>> hmm -- I don't think that's the code-writers job -- it's the deployers job.
>>> Other than choosing which python *version* I want to use, I can happily
>>> develop with system python and pip, and then deploy with conda -- or vice
>>> versa. INdeed, I can develop on Windows and deploy on LInux, or....
>>
>> You still need to decide which versions you're going to test against,
>> and which bug reports you're going to accept as potentially valid
>> feedback (e.g. very few people running upstream community projects
>> will accept "doesn't run on Python 2.5" as a valid bug report any
>> more, and RHEL/CentOS 7, Software Collections, and conda have been
>> around for long enough now that most won't accept "doesn't run on 2.6"
>> either)
>>
>>> though if you meant pypy vs iron python vs cPython when you meant "runtime"
>>> then yes, with the dependency issue, you really do need to make that choice
>>> upfront.
>>
>> I also mean 2.6 vs 2.7 vs 3.4 vs 3.5 vs 3.6, etc
> 
> 
> There are still platform differences too, we regularly get bugs that only are 
> exposed on Anaconda or on Ubuntu’s Python or on RHEL's Python or on 
> Python.org <http://Python.org>’s OS X installers etc etc. Basically every 
> variation has a chance to introduce a bug of some kind, and if you’re around 
> long enough and you’re used enough you’ll run into them on every system. As 
> someone writing that code you have to decide where you draw the line for what 
> you support or not (for instance, you may support Ubuntu/RHEL/Anaconda, but 
> you may decide that any version of CPython running on HPUX is not supported).

I guess you are right. I will abandon my idea.

Regards,
  Thomas Güttler


-- 
http://www.thomas-guettler.de/
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