Cachetools vs Memoization: What's the Difference?

What is the difference between cachetools and memoization?

Cachetools is a Python library that provides caching decorators and classes, while memoization is a programming technique to store results of expensive function calls.

Can you give me an example of how to use cachetools?

Sure! Here's a simple example: you can use the @cached decorator from cachetools to cache the results of a function.

How does memoization improve performance?

Memoization improves performance by storing previously computed results, so the function doesn't have to recompute them for the same inputs.

Are there any downsides to using cachetools or memoization?

Yes, both can consume more memory since they store results, and if not managed properly, they can lead to stale data.