What are some effective caching techniques in Python?

What are some effective caching techniques in Python?

There are several caching techniques in Python, such as using dictionaries, the functools.lru_cache, and external libraries like cachetools.

Can you explain how functools.lru_cache works?

Sure! functools.lru_cache is a decorator that caches the results of a function based on its input arguments, using a Least Recently Used (LRU) strategy to manage the cache size.

What are the benefits of using caching?

Caching can significantly improve performance by reducing the time it takes to retrieve data, especially for expensive function calls or database queries.

Are there any downsides to caching?

Yes, caching can lead to stale data if not managed properly, and it also consumes memory, which can be a concern in resource-limited environments.