Today, we are about to dive into a remarkable feature of
Python that many might not be familiar with, yet it can
significantly boost the efficiency of your code. Say hello to
functools.lru_cache!
What’s All the Buzz About?
In computer science, caching is like having a mini-notebook to jot down complex calculations. So, the next time you encounter the same problem, you can simply peek into your notebook instead of working out the whole problem again.
functools.lru_cache is
Python’s built-in way of doing this. It’s a decorator that
helps you store the results of function calls, so if you call
the function again with the same arguments, Python just
fetches the answer from the cache instead of recalculating it.
