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Master parallel and concurrent programming in Python with this comprehensive 2-in-1 guide that equips beginners to advanced developers to create faster, scalable applications. Dive into key concepts like the Global Interpreter Lock (GIL), multiprocessing for CPU-bound tasks, threading and asyncio for I/O-bound operations, and distributed systems with Celery. Through hands-on projects such as data pipelines, web scrapers, real-time chat servers, and image processors, learn to optimize performance, handle synchronization, and deploy high-performance solutions for data science, web development, automation, and AI.
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