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Elevate your Python skills with this hands-on guide to concurrent and parallel programming, empowering beginners to advanced developers to optimize code for speed and efficiency. Master multithreading for IO-bound tasks, asyncio for scalable asynchronous operations, and multiprocessing to bypass the GIL for CPU-intensive workloads. Through practical examples, real-world projects like web scrapers, data pipelines, and servers, and best practices for error handling, profiling, and scaling, build high-performance applications for web development, data processing, automation, and more.