[Numpy-discussion] NumPy 1.20.x branch in two weeks

[Juan Nunez-Iglesias]

I like Ralf's email, and most of all I agree that the existing wording is clearer.

My view on the NEP is that it does not mandate dropping support, but encourage it. In my projects I would drop it if I had use for Python 3.7+ features. It so happens that we want to use PEP-593 so we were grateful for NEP-29 giving us "permission" to drop 3.6.

I would suggest that 3.6 be dropped immediately if there are any open PRs that would benefit from it, or code cleanups that it would enable. The point of the NEP is to short-circuit discussion about whether it's "worth" dropping 3.6. If it's valuable at all, do it.

Thanks all,

Juan.

On Mon, 2 Nov 2020, at 2:01 AM, Ralf Gommers wrote:
> 
> 
> On Mon, Nov 2, 2020 at 7:47 AM Stephan Hoyer <shoyer at gmail.com> wrote:
>> On Sun, Nov 1, 2020 at 7:47 PM Stefan van der Walt <stefanv at 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
> 
> 
> 
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