Open poodlewars opened 2 months ago
We need to be careful to continue to test backwards compat with Python 3.6 and Pandas 0. We should still have part of the CI that writes data in Python 3.6 with Pandas 0 and verify that later versions can work with it correctly. This is to make sure we don't break compat with already serialized data.
Additionally, some of the "analysis" workflow (eg ASV benchmarks) run with Python 3.6 at the moment. They will need to be upgraded to a modern Python.
No longer required.
Open question - what Pandas compat do we need? 3.6 build is the only one that tests Pandas 0.x compat. It would help the projects velocity to stop supporting Pandas 0.
This query in BigQuery shows that version 0 is extremely unpopular:
It hasn't been updated for 5 years.
I think it's rational to remove support for it. Alternatively, we could test against it in the Python 3.8 build.