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 ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

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.