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Concurrency & performance

asyncio, threading, multiprocessing, and profiling-friendly performance patterns.

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How to Memoize Pure Functions with functools.lru_cache in Python

Use functools.lru_cache to memoize a pure Fibonacci function and avoid recomputing repeated values.

lru-cache memoization functools
Python 
from functools import lru_cache


@lru_cache(maxsize=128)
def fibonacci(n: int) -> int:
    """Return the nth Fibonacci number (0-indexed) using memoization."""
    if n < 2:
        return n
    return fibonacci(n - 1) + fibonacci(n - 2)


if __name__ == "__main__":
    for i in range(10):
        print(f"fibonacci({…
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