Adopt the Scientific Python SPEC0 Python calendar

[Zeitsperre]

Addressing a Problem?

There are often issues surrounding backwards compatibility of our dependencies; We've run into problems with supporting older numpy, pandas, and pint most recently. It would be great if there were guidance on what the lowest pins of these dependencies we should be supporting.

Potential Solution

If we adopt the Scientific Python SPEC 0, we won't need to spend as much time figuring this out for ourselves.

As it stands, numpy and xarray have dropped support for Python3.9 (numpy/numpy@2452ff4 and pydata/xarray#8937). If we were to drop Python3.9 in our next or next-following release, we would be on track to catch up with the calendar.

This would also free us up to make broader changes based on the latest features of numpy, xarray, pandas, python, etc. Significant speedups and nicer-looking code is a nice plus.

Additional context

https://scientific-python.org/specs/spec-0000/

Contribution

• I would be willing/able to open a Pull Request to contribute this feature.

Code of Conduct

• I agree to follow this project's Code of Conduct