Using memoization in Python

The video tutorial explains memoization in Python, focusing on the functools LRU cache. It describes how memoization can optimize function calls by caching return values for predictable inputs. The tutorial provides an example of a deterministic function and demonstrates the use of LRU cache to reduce function call overhead. It also covers cache management techniques, including cache info and cache clear methods, and introduces the Cache variant in Python 3.9, which offers unbounded caching.

Describe how you can manually clear the cache in a memoized function.

What are the differences between LRU cache and the new Cache variant introduced in Python 3.9?