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Concurrency & performance

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

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Concurrency & performance easy

How to Use ThreadPoolExecutor and ProcessPoolExecutor in Python

Compares ThreadPoolExecutor and ProcessPoolExecutor by running CPU-bound and I/O-tolerant tasks over a large list, printing elapsed times and first results.

concurrency threadpool processpool
Python 
import time
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
import math

numbers = list(range(1, 1000001))


def compute_square(n):
    return n * n


def compute_sqrt(n):
    return math.sqrt(n)


def run_executor(executor, func, data):
    start = time.perf_counter()
    results = list(executo…
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