Hey! `functools.lru_cache` is a solid choice for python cache if your function is pure (same input always gives same output). It’s super easy to use—just slap the decorator on your function.
For cache invalidation, you can set a `maxsize` to limit memory usage or manually clear it with `cache_clear()`.
If your data changes often, maybe look into `cachetools` lib—it has time-based expiration.
Gotcha: Watch out for mutable args! They’ll break your cache key.
For cache invalidation, you can set a `maxsize` to limit memory usage or manually clear it with `cache_clear()`.
If your data changes often, maybe look into `cachetools` lib—it has time-based expiration.
Gotcha: Watch out for mutable args! They’ll break your cache key.