The Python 3.11 release: everything you need to know

 

 


As per Python Software Foundation (PSF) the release of Python 3.11, which is scheduled for October 2022, is currently in its seventh alpha revision.

Python is now regularly linked to the most significant advances in data science and AI. Practitioners value its simplicity, extensive collection of in-built and third-party libraries, and network. The Python community can anticipate a number of positive enhancements, including a considerable performance gain, better error detection and debug, and several quality-of-life upgrades to standard libraries, with the release of its latest version of 3.11 on October 3, 2022.

What modifications are made to the forthcoming version? Let’s have a look.

Python 3.11 Introduces New Features and Functionality

 The complete list of enhancements included in Python 3.11 is as follows:

General alterations

  • Improved Speed – The usual benchmark suite runs around 25% quicker than in 3.10, which is the first notable change that will thrill data scientists. According to the Python documentation, 3.11 can occasionally be up to 60% quicker. Here’s how to run the benchmark test to evaluate speed gains on your own computer. You will require a Docker installation in order to compare the speeds of Python 3.10 and 3.11.

  • Smooth Error Locations in Tracebacks for Easier Debugging – In the past, lines would be used to identify errors. The specific error will now be underlined on the line, removing any ambiguity and accelerating troubleshooting.

  •  Using Exception Groups and except, error handling is made easier – Previously, if a task produced numerous errors, you had to address each one separately. With version 3.11, you can now handle each of those problems separately, which streamlines exception handling.

  • Standard Library support for TOML parsing – A customization file format comparable to YAML is called TOML, or Tom’s Obvious Minimal Language. It includes reliable and consistent build information for your project. There is no longer any justification for using setup.py to package your project since 3.11 added tomllib to the standard library. 

Typing and Language Changes

  • Self Type – The annotation of self returns has been awkward for a long time, resulting in confusing results from your analysis tools. “typing.Self” simplifies the annotation process by allowing you to just annotate the return value. 


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