Process Pools

Spawning a Process per task gets ugly fast. If you have 10,000 product images to resize, you don't want 10,000 processes, you want a small crew of workers that pick up one image after another until the queue is empty. multiprocessing.Pool is that crew. It manages a fixed group of worker processes, distributes tasks across them, collects results, and shuts everything down cleanly. This lesson covers the API, the dispatch patterns (map, imap, apply_async), how chunksize affects throughput, error propagation, and the lifecycle methods you need to clean up correctly.