Pre-release of Python 3.11 sees a 10%-60% performance gain over Python 3.10 (docs.python.org)

I'd like to know how this translates to other frequently used modules that are potentially computationally heavy, if at all.

- Numpy.

- Pandas.

- Scikit.

- Dask.

- Flask / Django. Others?

The enhanced error location in tracebacks is the real deal IMHO: https://docs.python.org/3.11/whatsnew/3.11.html#enhanced-err...

There is a lot of talk about how 3.11 is a good performance improvement over 3.10 and especially in comparison to other python minor version updates. Is there anyway to quantify other version performance increases i.e between 3.8 and 3.9 and 3.9 to 3.10 etc? So it's a nice comparison