T�tulo: Python Concurrency and Parallelism: Threads, Asyncio, and Multiprocessing: From Basic Concepts to Advance Optimization: Leveraging Multi-Core Processors and Asynchronous I/O for Maximum Performance
Editor: Independently published
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 13: 9798288428715
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

What You Will Learn in This Book

Master the core principles of concurrency and parallelism to write more efficient and responsive Python applications.
Understand Python's Global Interpreter Lock (GIL) and learn effective strategies to work with or around its limitations.
Implement threading effectively for I/O-bound tasks, including advanced synchronization techniques and thread pool management.
Develop asynchronous applications with Asyncio, leveraging coroutines, event loops, and non-blocking I/O for high-performance network programming.
Utilize the multiprocessing module to achieve true parallel execution, bypass the GIL, and leverage multiple CPU cores.
Facilitate inter-process communication (IPC) using various methods like pipes, queues, and shared memory.
Optimize CPU-bound tasks by distributing work across multiple processes using process pools.
Make informed decisions on when to use threading, Asyncio, or multiprocessing based on your application's requirements.
Design and implement hybrid concurrency models by combining different approaches for optimal performance.
Apply essential debugging and testing strategies specific to concurrent and parallel Python code.
Profile and optimize your concurrent applications to identify bottlenecks and enhance performance.
Explore real-world case studies demonstrating practical applications of concurrency and parallelism in various scenarios.
Recognize and apply common design patterns for building robust concurrent and parallel systems.
Stay informed about emerging trends and the future of concurrency in Python.