How Fast is Python 3.15?
A developer provides an informal performance benchmark comparing the upcoming Python 3.15 release against previous versions using Fibonacci and bubble sort algorithms. The analysis aims to gauge performance trends across interpreter versions rather than providing a comprehensive profile.
Why it matters
Performance improvements in core programming languages like Python have a direct impact on the efficiency and energy consumption of software development globally.
It's October once again, and that means it is time to take the new release of Python for a spin (technically, it is the 3.15.0rc3 release that I'm using, the official 3.15 release is still a few days out). As I did with my Python 3.14 performance article of a year ago, today I'm sharing a new run of my informal Python benchmark, comparing Python 3.15 against previous interpreters all the way back to 3.10.
If you are not interested in the charts and the tables and just want to read my analysis, feel free to jump to the conclusions section at the end.
I just called my benchmark "informal". What does that mean?
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