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How to Speed Up Data Filtering with Python ThreadPoolExecutor

This code compares sequential filtering of even numbers with a threaded version using ThreadPoolExecutor, showing a measurable speedup for I/O-bound work.

threadpoolexecutor concurrency filtering

Python

import time
from concurrent.futures import ThreadPoolExecutor
import random


def is_even(number):
    time.sleep(0.001)  # simulate work
    return number % 2 == 0


def filter_even_sequential(numbers):
    return [n for n in numbers if is_even(n)]


def filter_even_threaded(numbers):
    with ThreadPoolExecutor(max_…

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