Especially when using recursive code there are massive improvements with lru_cache
. I do understand that a cache is a space that stores data that has to be served fast and saves the computer from recomputing.
How does the Python lru_cache
from functools work internally?
I'm Looking for a specific answer, does it use dictionaries like the rest of Python? Does it only store the return
value?
I know that Python is heavily built on top of dictionaries, however, I couldn't find a specific answer to this question. Hopefully, someone can simplify this answer for all the users on StackOverflow.
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