The best new features and fixes in Python 3.11

The Python programming language releases new versions yearly, with a feature-locked beta release in the first half of the year and the final release toward the end of the year. The feature set for Python 3.11 has just been finalized, with a beta version available for testing. Developers are encouraged to try out this latest version on non-production code, both to verify that it works with your programs and to get an idea of whether your code will benefit from its performance enhancements.

Here's a rundown of the most significant new features in Python 3.11 and what they mean for Python developers.

Speed improvements

Many individual performance improvements landed in Python 3.11, but the single biggest addition is the specializing adaptive interpreter. Since an object's type rarely changes, the interpreter now attempts to analyze running code and replace general bytecodes with type-specific ones. For instance, binary operations (add, subtract, etc.) can be replaced with specialized versions for integers, floats, and strings.

Python function calls also require less overhead in Python 3.11. Stack frames for function calls now use less memory and are more efficiently designed. Also, while recursive calls aren't tail-optimized (which probably isn't possible in Python, anyway), they are more efficient than in previous versions. The Python interpreter itself also starts faster, and core modules needed for the Python runtime are stored and loaded more efficiently.

According to the official Python benchmark suite, Python 3.11 runs around 1.25 times faster than version 3.10. Note that this speedup is an aggregate measure: some things are much faster, but many others are only slightly faster or about the same. Still, the best part about these improvements is that they come for free. You don't need to make any code changes for Python programs to take advantage of 3.11's speedups.

Enhanced error information

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