[Numpy-discussion] Dropping support for Python 2.4 in NumPy 1.8
Thu Jun 28 10:15:18 CDT 2012
2012/6/28 Ralf Gommers <firstname.lastname@example.org>
> On Thu, Jun 28, 2012 at 4:44 PM, Olivier Delalleau <email@example.com> wrote:
>> 2012/6/28 David Cournapeau <firstname.lastname@example.org>
>>> Hi Travis,
>>> On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant <email@example.com>
>>> > Hey all,
>>> > I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not
>>> the 1.7 release). What does everyone think of that?
>>> I think it would depend on 1.7 state. I am unwilling to drop support
>>> for 2.4 in 1.8 unless we make 1.7 a LTS, that would be supported up to
>>> 2014 Q1 (when RHEL5 stops getting security fixes - RHEL 5 is the one
>>> platform that warrants supporting 2.4 IMO)
>>> In my mind, it means 1.7 needs to be stable. Ondrej (and others) work
>>> to make sure we break neither API or ABI since a few releases would
>>> help achieving that.
>> As a user stuck with Python 2.4 for an undefined period of time, I would
>> definitely appreciate a long-term support release that would retain Python
>> 2.4 compatibility.
> Hi, I have an honest question for you (and other 2.4 users). Many packages
> have long since dropped 2.4 compatibility. IPython and scikit-learn require
> 2.6 as a minimum, scikits-image and statsmodels 2.5. So what do you do
> about those packages, not use them at all, or use an older version?
> All those packages are improving (in my opinion) at a much faster rate
> than numpy. So if you do use them, up-to-date versions of those are likely
> to be more useful than a new version of numpy. In that light, does keeping
> 2.4 support really add significant value for you?
I just don't use any package that is not Python 2.4-compatible. The
application I currently work with requires numpy, scipy and theano.
I might not need new features from newer numpy versions (not sure), but
fixes for bugs and future compatibility issues that may come up would be
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