What's the best way to implement a Python cache for performance optimization? or How does Python cach

"Python cache: What's the best way to speed up repetitive tasks?"

Hey everyone!

I’ve been working on a project where the same function gets called *a ton* with the same args. It’s slowing things down, and I’m thinking a python cache might help.

But I’m not sure—should I use `functools.lru_cache`, or is there a better way?

Also, how do you handle cache invalidation without making a mess? Like, what if the data changes and the cache is now stale?

Kinda new to this, so any tips or gotchas would be awesome!

Thanks in advance