Multithreading

threading runs functions concurrently in one process — good for I/O-bound tasks.

Intermediate

from concurrent.futures import ThreadPoolExecutor
with ThreadPoolExecutor(max_workers=8) as pool:
    pages = list(pool.map(download, urls))

Protect shared data with threading.Lock; prefer queues for passing work between threads.

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