adjust the deprecation policy for python #7793
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the first part of the policy change discussed in #7765 should be ready for review and merging. Still pondering how to implement the second part, so that will be a separate PR. |
headtr1ck
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Apr 30, 2023
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Thanks @keewis! |
dcherian
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May 6, 2023
* main: Introduce Grouper objects internally (pydata#7561) [skip-ci] Add cftime groupby, resample benchmarks (pydata#7795) Fix groupby binary ops when grouped array is subset relative to other (pydata#7798) adjust the deprecation policy for python (pydata#7793) [pre-commit.ci] pre-commit autoupdate (pydata#7803) Allow the label run-upstream to run upstream CI (pydata#7787) Update asv links in contributing guide (pydata#7801) Implement DataArray.to_dask_dataframe() (pydata#7635) `ds.to_dict` with data as arrays, not lists (pydata#7739) Add lshift and rshift operators (pydata#7741) Use canonical name for set_horizonalalignment over alias set_ha (pydata#7786) Remove pandas<2 pin (pydata#7785) [pre-commit.ci] pre-commit autoupdate (pydata#7783)
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As discussed in #7765, this extends the policy months by 6 to a total of 30 months. With that, the support for a python version can be removed as soon as the next version is at least 30 months old. Together with the 12 month release cycle python has, we get the 42 month release window from NEP 29.
Note that this is still missing the release overview proposed in #7765, I'm still thinking about how to best implement the automatic update / formatting, and how to coordinate it with the (still manual) version overrides.
whats-new.rst