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.
