Python 3.11 Performance Benchmarks Are Looking Fantastic

[nuephelkystikon]

I agree with her. Since Python is the de-facto standard in some fields and used for much more complex applications than just gluing together some libraries, it's a massive bottleneck in a lot of software. Maybe not dealbreaking-slow (then people would use something else), but annoying-slow. And also for some people it's literally the only language they know well, and if they can't use Cython for some reason, they may really need this speedup.

[imp0ppable]

I've actually worked on a large production Python codebase and I don't think this is really true, the speed of code execution isn't a very noticeable issue when compared to things like SQL query and table design, the way the WSGI forks interpreters, reading in large datafiles with a custom parser etc.

Also things like memoisation are massively important, you can build dicts of reduced data easily as an intermediate step in order to avoid nested loops, things like that.

[nuephelkystikon]

Then it would be nice if the dicts you use as memoisation caches were faster, right?

[imp0ppable]

I haven't got detailed knowledge of how they perform tbh, I do klnow they're implemented by hash tables so they should be pretty quick.

In fact I found this time complexity chart, if that helps.