Hi Pablo,

On 03/02/2022 11:27 pm, Pablo Galindo Salgado wrote:
We needed to tame some angry buildbots, but after a small fight, we won with 
just some scratches! Here you have a shiny new alpha release: Python 3.11.0a5.

https://www.python.org/downloads/release/python-3110a5/ 
<https://www.python.org/downloads/release/python-3110a5/>

**This is an early developer preview of Python 3.11**

# Major new features of the 3.11 series, compared to 3.10

Python 3.11 is still in development.  This release, 3.11.0a5 is the fifth of 
seven planned alpha releases.

Alpha releases are intended to make it easier to test the current state of new 
features and bug fixes and to test the release process.

During the alpha phase, features may be added up until the start of the beta 
phase (2022-05-06) and, if necessary, may be modified or deleted up until the 
release candidate phase (2022-08-01).  Please keep in mind that this is a 
preview release and its use is **not** recommended for production environments.

Many new features for Python 3.11 are still being planned and written.  Among 
the new major new features and changes so far:

* [PEP 657](https://www.python.org/dev/peps/pep-0657/ 
<https://www.python.org/dev/peps/pep-0657/>) -- Include Fine-Grained Error 
Locations in Tracebacks
* [PEP 654](https://www.python.org/dev/peps/pep-0654/ 
<https://www.python.org/dev/peps/pep-0654/>) -- Exception Groups and except*
* [PEP 673](https://www.python.org/dev/peps/pep-0673/ 
<https://www.python.org/dev/peps/pep-0673/>)  -- Self Type
* [PEP 646](https://www.python.org/dev/peps/pep-0646/) 
<https://www.python.org/dev/peps/pep-0646/)>-- Variadic Generics
* The [Faster Cpython Project](https://github.com/faster-cpython 
<https://github.com/faster-cpython>) is already yielding some exciting results: this 
version of CPython 3.11 is ~12% faster on the geometric mean of the [PyPerformance 
benchmarks](speed.python.org <http://speed.python.org/>), compared to 3.10.0.

Only 12%? Did you measure this on the same machine as usual?
My measurements show a geometric mean of ~19%, although the range is -2% to 
+71%.
I would just say "about 20%". 19% (or 12%) suggests rather more precision than 
is justifiable.

Cheers,
Mark.
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