2012/6/28 Ralf Gommers <ralf.gomm...@googlemail.com> > > > On Thu, Jun 28, 2012 at 4:44 PM, Olivier Delalleau <sh...@keba.be> wrote: > >> 2012/6/28 David Cournapeau <courn...@gmail.com> >> >>> Hi Travis, >>> >>> On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant <tra...@continuum.io> >>> wrote: >>> > 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. >>> >>> David >>> >> >> 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 nice. -=- Olivier
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