Python provides two ways to work around this issue: threading and multiprocessing ... def run_pool(pool_type): with pool_type() as pool: start = perf_counter() results = pool.map(work, numbers ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities ... forced to wait on an external resource. A common example is completing multiple network requests.