On Mon, Nov 2, 2020 at 7:47 AM Stephan Hoyer <sho...@gmail.com> wrote:
> On Sun, Nov 1, 2020 at 7:47 PM Stefan van der Walt <stef...@berkeley.edu> > wrote: > >> On Sun, Nov 1, 2020, at 18:54, Jarrod Millman wrote: >> > I also misunderstood the purpose of the NEP. I assumed it was >> > intended to encourage projects to drop old versions of Python. > > It was. It is. I think the NEP is very clear on that. Honestly we should just follow the NEP and drop 3.6 now for both NumPy and SciPy, I just am tired of arguing for it - which the NEP should have prevented being necessary, and I don't want to do again right now, so this will probably be my last email on this thread. Other >> > people have viewed the NEP similarly: >> > https://github.com/networkx/networkx/issues/4027 >> >> Of all the packages, it makes sense for NumPy to behave most >> conservatively with depreciations. The NEP suggests allowable support >> periods, but as far as I recall does not enforce minimal support. >> > It doesn't *enforce* it, but the recommendation is very clear. It would be good to follow it. >> Stephan Hoyer had a good recommendation on how we can clarify the NEP to >> be easier to intuit. Stephan, shall we make an ammendment to the NEP with >> your idea? >> > > For reference, here was my proposed revision: > https://github.com/numpy/numpy/pull/14086#issuecomment-649287648 > > Specifically, rather than saying "the latest release of NumPy supports all > versions of Python released in the 42 months before NumPy's release", it > says "NumPy will only require versions of Python that were released more > than 24 months ago". In practice, this works out to the same thing (at > least given Python's old 18 month release cycle). > > This changes the definition of the support window (in a way that I think > is clearer and that works better for infrequent releases), but there is > still the question of how large that window should be for NumPy. > I'm not sure it's clearer, the current NEP has a nice graphic and literally says "a project with a major or minor version release in November 2020 should support Python 3.7 and newer."). However happy to adopt it if it makes others happy - in the end it comes down to the same thing: it's recommended to drop Python 3.6 now. My personal opinion is that somewhere in the range of 24-36 months would be > appropriate. > +1 Cheers, Ralf
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
