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

LRU cache is great, but if you’re dealing with *big* data or need more control, check out `redis` for distributed python cache.

Downside: extra setup. Upside: blazing fast and scales well.

For invalidation, you can set TTL (time-to-live) so entries auto-expire.

Also, if your function depends on external state (like DB), you’ll need to manually invalidate when that state changes.