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Concurrency & performance

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

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Concurrency & performance medium

How to Use multiprocessing Pool map and starmap in Python

Parallelize functions over iterables with Pool.map, and unpack multiple arguments via Pool.starmap.

multiprocessing parallelism pool
Python 
from multiprocessing import Pool


def square(x):
    return x * x


def add_and_multiply(a, b, c):
    return (a + b) * c


if __name__ == "__main__":
    numbers = [1, 2, 3, 4, 5]
    with Pool(processes=2) as pool:
        squares = pool.map(square, numbers)
        print(f"squares: {squares}")

        starmap_arg…
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