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Python Concurrency and Parallelism: Threads, Asyncio, and Multiprocessing: From Basic Concepts to Advance Optimization: Leveraging Multi-Core Processo

by Pythquill Publishing
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₹1,777.00
Original price ₹1,777.00
Original price ₹1,777.00
₹1,777.00
Current price ₹1,777.00

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Book cover type: Paperback
  • ISBN13: 9798288428715
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 254
  • Original Price: USD 17.0
  • Language: English
  • Edition: N/A
  • Item Weight: 595 grams
  • BISAC Subject(s): Programming / General

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.

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