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How do you implement concurrent futures for parallel tasks?

Mid Python
Quick Answer concurrent.futures provides a high-level interface for parallel tasks. ThreadPoolExecutor for I/O-bound parallel tasks. ProcessPoolExecutor for CPU-bound parallel tasks (bypasses GIL with separate processes). Submit tasks with executor.submit(fn, args) returns Future. executor.map(fn, iterable) for parallel map. Use with context manager: with ThreadPoolExecutor(max_workers=4) as executor:.

Answer

Use ThreadPoolExecutor or ProcessPoolExecutor.
submit() runs tasks asynchronously.
Retrieve results using result() or as_completed().
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