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Concurrency & performance

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

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Concurrency & performance easy

How to Use functools.cache for Unbounded Memoization in Python

Speed up repeated recursive calls by memoizing function results with Python's built-in functools.cache decorator.

functools memoization performance
Python 
```python
import functools
import time


@functools.cache
def fib(n):
    if n < 2:
        return n
    return fib(n - 1) + fib(n - 2)


if __name__ == "__main__":
    start = time.perf_counter()
    result = fib(30)
    elapsed = time.perf_counter() - start

    print(f"fib(30) = {result}")
    print(f"computed in {…
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