Python cache is clutch for memoization, but it’s not magic. If your function’s output changes based on external state (like time), caching will bite you.
`lru_cache` is great, but for distributed apps, you’ll need something like Redis. Overkill for small projects tho.
Ever tried benchmarking with/without cache? The difference can be wild.
`lru_cache` is great, but for distributed apps, you’ll need something like Redis. Overkill for small projects tho.
Ever tried benchmarking with/without cache? The difference can be wild.