Can you explain caching in Python?

Can you explain caching in Python?

Sure! Caching in Python is a technique to store the results of expensive function calls and reuse them when the same inputs occur again.

How does caching improve performance?

Caching improves performance by reducing the time it takes to compute results for frequently requested data, thus saving resources.

What are some common caching libraries in Python?

Some popular caching libraries in Python include functools.lru_cache, cachetools, and django.core.cache for Django applications.

Can you give an example of using caching in a function?

Certainly! Here's a simple example using functools.lru_cache:

from functools import lru_cache

@lru_cache(maxsize=None)
def expensive_function(x):
    # Simulate a costly computation
    return x * x