Using Memoization In Python To Speed Up Slow Functions

Written by emilsadek | Published 2021/05/23
Tech Story Tags: python | python3 | memoization | caching | optimization | dynamic-programming | cache | lru-cache

TLDR Memoization is an optimization technique that speeds up programs by caching the results of previous function calls. This allows subsequent calls to reuse the cached results, avoiding time-consuming recalculation. The functools module included in Python's standard library provides two useful decorators for memoization. These decorators use a least recently used (LRU) cache, which stores items in order of use, discarding the least used items to make room for new items. Python 3 makes it incredibly easy to memorize functions.via the TL;DR App

no story

Written by emilsadek | Software Engineer
Published by HackerNoon on 2021/05/23