[Numpy-discussion] Proposal of timeline for dropping Python 2.7 support

Matthias Bussonnier bussonniermatthias at gmail.com
Thu Nov 9 22:35:09 EST 2017

'pip install ... will' to 'pip install ... should' especially for 2.7 users
it's rarer to have an up to date enough pip (9+) to respect the
requires_python metadata.

A mention to the py3statement would be appreciated :-) especially if you
decide to sign it.

You might want to also be a bit more positive on the python 2 burden
(that's the stick) and add a phrase about "allowing you to implement
features for python 3 users that are incompatible with having compatibility
with python 2".

The "supported by the community" should (IMHO) be made slightly clearer, as
well as what bug fix you expect core dev to _do_ vs _accept_, but that can
be a separate document somewhere else to refer to.

Thanks !

On Nov 9, 2017 17:52, "Nathaniel Smith" <njs at pobox.com> wrote:

Fortunately we can wait until we're a bit closer before we have to
make any final decision on the version numbering :-)

Right now though it would be good to start communicating to
users/downstreams about whatever our plans our though, so they can
make plans. Here's a first attempt at some text we can put in the
documentation and point people to -- any thoughts, on either the plan
or the wording?


The Python core team plans to stop supporting Python 2 in 2020. The
NumPy project has supported both Python 2 and Python 3 in parallel
since 2010, and has found that supporting Python 2 is an increasing
burden on our limited resources; thus, we plan to eventually drop
Python 2 support as well. Now that we're entering the final years of
community-supported Python 2, the NumPy project wants to clarify our
plans, with the goal of to helping our downstream ecosystem make plans
and accomplish the transition with as little disruption as possible.

Our current plan is as follows:

Until **December 31, 2018**, all NumPy releases will fully support
both Python 2 and Python 3.

Starting on **January 1, 2019**, any new feature releases will support
only Python 3.

The last Python-2-supporting release will be designated as a long-term
support (LTS) release, meaning that we will continue to merge
bug-fixes and make bug-fix releases for a longer period than usual.
Specifically, it will be supported by the community until **December
31, 2019**.

On **January 1, 2020** we will raise a toast to Python 2, and
community support for the last Python-2-supporting release will come
to an end. However, it will continue to be available on PyPI
indefinitely, and if any commercial vendors wish to extend the LTS
support past this point then we are open to letting them use the LTS
branch in the official NumPy repository to coordinate that.

If you are a NumPy user who requires ongoing Python 2 support in 2020
or later, then please contact your vendor. If you are a vendor who
wishes to continue to support NumPy on Python 2 in 2020+, please get
in touch; ideally we'd like you to get involved in maintaining the LTS
before it actually hits end-of-life, so we can make a clean handoff.

To minimize disruption, running 'pip install numpy' on Python 2 will
continue to give the last working release in perpetuity; but after
January 1, 2019 it may not contain the latest features, and after
January 1, 2020 it may not contain the latest bug fixes.

For more information on the scientific Python ecosystem's transition
to Python-3-only, see: http://www.python3statement.org/

For more information on porting your code to run on Python 3, see:




On Thu, Nov 9, 2017 at 12:53 PM, Marten van Kerkwijk
<m.h.vankerkwijk at gmail.com> wrote:
> In astropy we had a similar discussion about version numbers, and
> decided to make 2.0 the LTS that still supports python 2.7 and 3.0 the
> first that does not.  If we're discussing jumping a major number, we
> could do the same for numpy.  (Admittedly, it made a bit more sense
> with the numbering scheme astropy had adopted anyway.) -- Marten
> _______________________________________________
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Nathaniel J. Smith -- https://vorpus.org
NumPy-Discussion mailing list
NumPy-Discussion at python.org
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