Using Memoization In Python To Speed Up Slow Functions

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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.