Concurrency

Control concurrent async requests with Python asyncio.Semaphore to respect rate limits and prevent overwhelming APIs or services.

Integrate tqdm progress bars with multiprocessing.imap_unordered for visual feedback on parallel task execution across worker processes.

Test Python infinite loops safely using daemon threads with timeouts, allowing tests to complete without hanging or blocking execution.

Master Python's concurrent.futures module for easy threading and multiprocessing. Learn ThreadPoolExecutor and ProcessPoolExecutor with examples.