chore: Deprecate Python 3.7

[john-bodley]

SUMMARY

As titled.

Note as part of this PR I tried to add support for 3.10 however this is more work, i.e., beyond bumping numpy we would also need to relax the constraints for a number of packages defined in setup.py, i.e., the current version bound for pyarrow, sqlalchemy, etc. do not support Python 3.10.

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ADDITIONAL INFORMATION

• Has associated issue: [2.0] Upgrade minimum supported Python version to 3.8. #18904
• Required feature flags:
• Changes UI
• Includes DB Migration (follow approval process in SIP-59)
  • Migration is atomic, supports rollback & is backwards-compatible
  • Confirm DB migration upgrade and downgrade tested
  • Runtime estimates and downtime expectations provided
• Introduces new feature or API
• Removes existing feature or API

[john-bodley]

Without quotes, YAML interprets 3.10 as a number i.e., 3.1 and thus I felt it was prudent to explicitly define all versions as strings and not numbers.

[john-bodley]

This needed to be bumped to resolve numpy/numpy#19033. Note this was bumped by deleting lines 165–168 and running pip-compile-multi --no-upgrade.

[villebro]

Thanks for taking this on! Can you also update the docs to reflect this (remove the reference to 3.7 and add 3.9): https://github.com/apache/superset/blob/master/docs/docs/contributing/local-backend.mdx

[codecov]

Codecov Report

Merging #19017 (db429fa) into master (a37a4ed) will not change coverage.
The diff coverage is n/a.

❗ Current head db429fa differs from pull request most recent head e14c428. Consider uploading reports for the commit e14c428 to get more accurate results

@@           Coverage Diff           @@
##           master   #19017   +/-   ##
=======================================
  Coverage   66.51%   66.51%           
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  Files        1645     1645           
  Lines       63515    63515           
  Branches     6464     6464           
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  Hits        42250    42250           
  Misses      19593    19593           
  Partials     1672     1672           

Flag	Coverage Δ
hive	52.59% <ø> (ø)
mysql	81.82% <ø> (ø)
postgres	81.87% <ø> (ø)
presto	52.44% <ø> (ø)
python	82.30% <ø> (ø)
sqlite	81.62% <ø> (ø)

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[john-bodley]

@villebro I've addressed your comment.

[villebro]

LGTM 🐍

[suddjian]

Thanks! 🎉