Release Date: April 5, 2022
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, 3.11.0a7 is the last 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 -- Include Fine-Grained Error Locations in Tracebacks
- PEP 654 -- Exception Groups and except*
- PEP 673 -- Self Type
- PEP 646-- Variadic Generics
- PEP 680-- tomllib: Support for Parsing TOML in the Standard Library
- PEP 675-- Arbitrary Literal String Type
- PEP 655-- Marking individual TypedDict items as required or potentially-missing
- bpo-46752-- Introduce task groups to asyncio
- The Faster Cpython Project is already yielding some exciting results: this version of CPython 3.11 is ~ 19% faster on the geometric mean of the PyPerformance benchmarks, compared to 3.10.0.
- (Hey, fellow core developer, if a feature you find important is missing from this list, let Pablo know.)
The next pre-release of Python 3.11 will be 3.11.0b1, currently scheduled for Friday, 2022-05-06.
- Online Documentation
- PEP 664, 3.11 Release Schedule
- Report bugs at https://bugs.python.org.
- Help fund Python and its community.
And now for something completely different
In mathematics, the Dirac delta distribution (δ distribution) is a generalized function or distribution over the real numbers, whose value is zero everywhere except at zero, and whose integral over the entire real line is equal to one. The current understanding of the impulse is as a linear functional that maps every continuous function to its value at zero. The delta function was introduced by physicist Paul Dirac as a tool for the normalization of state vectors. It also has uses in probability theory and signal processing. Its validity was disputed until Laurent Schwartz developed the theory of distributions where it is defined as a linear form acting on functions. Defining this distribution as a "function" as many physicist do is known to be one of the easier ways to annoy mathematicians :)
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