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.
Getting an objective and universal measure of the performance of a programming language is impossible. All you can do is write some programs and run them to get a measure of their performance. Other programs may show similar performance characteristics or they may not, there is really no way to know. My intention with this benchmark is just to get a feel for the performance changes across versions of Python, but I want to make it clear that I'm not trying to obtain a comprehensive performance profile of the Python interpreter.
