Master Python Multiprocessing: Boost Performance with Process Pools and Async I/O
This comprehensive guide explains Python's multiprocessing module, compares processes with threads, shows how to create and manage processes using Process and Pool classes, covers inter‑process communication, synchronization primitives, async I/O integration, error handling, debugging techniques, and real‑world examples such as web crawlers, data analysis, and game servers.