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Drop 3.5 after 0.13? #3293
Description
I just saw https://numpy.org/neps/nep-0029-deprecation_policy.html, which suggests dropping 3.5 support earlier this year (though NEP is dated to this July)
Ofc, existing xarray versions would still work with 3.5, only upgrades would require the new version (which I know everyone knows, but reinforces we don't need to wait for everyone to move off 3.5)
Activity
crusaderky commentedon Sep 9, 2019
As somebody who's maintained conda in a large corporate environment, I can confirm that upgrading major version of python is a couple day's work at worst.
I'm strongly in favour of a rolling policy for maintaining the last 2 versions of python supported by the official anaconda release package (as opposed to just the repo).
shoyer commentedon Sep 10, 2019
To clarify — the proposal is to drop support for Python 3.5 in the upcoming 0.13 release? Or later, in 0.14? I’d be happy to go ahead and do it now... it would be nice to be able to rely on dict iteration order and f-strings.
crusaderky commentedon Sep 10, 2019
Getting rid of all the ordereddicts is a colossal change, and IMHO this release is already way too large...
crusaderky commentedon Sep 10, 2019
(that said I'm perfectly happy to have 0.14 one week after 0.13!)
max-sixty commentedon Sep 10, 2019
I wasn't initially suggesting for 0.13 but not opposed to it
What about releasing 0.13 and then dropping 3.5? That way any 3.5 users have an up-to-date version and we can have a master on 3.6 very soon
max-sixty commentedon Sep 10, 2019
What are the semver rules for underlying versions? If we drop 3.5 support, do we need a minor version increase to 0.14, or is a patch release to 0.13.1 OK?
shoyer commentedon Sep 10, 2019
I agree, I was suggesting simply dropping support for Python 3.5 without other associated changes -- those can come later.
shoyer commentedon Sep 10, 2019
We don't really have strict rules about this, but I think it's friendlier to keep major version bumps of xarray's dependencies to major xarray releases (i.e., 0.13 or 0.14).