SKU/Artículo: AMZ-B0FG39H2V8
Master Concurrent Programming with Python and CSP: Hands-On Exercises for Building Efficient Sequential Processes
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Paperback
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0.20 kg
0.20 kg
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Amazon
Amazon
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USA
USA
Sobre este producto
- Unlock the Power of Concurrency in Python with the Revolutionary CSP ModelAre you a software engineer, computer science student, or Python developer seeking to elevate your programming expertise? Dive into the dynamic world of concurrent programming with Master Concurrent Programming with Python and CSP. This comprehensive guide walks you step-by-step through the powerful Communicating Sequential Processes (CSP) model, blending theory with hands-on coding exercises to ensure mastery of concurrent design and execution using Python’s robust toolset.Concurrency is no longer a niche skill—it’s essential. Modern applications demand responsiveness, scalability, and efficient resource use, whether you’re building web servers, real-time systems, or distributed platforms. In this groundbreaking guide, Perry Goodman equips you with the tools and insights necessary to design safe, high-performance concurrent systems—without the chaos of shared-memory models.🔍 What You'll LearnThe Core of Concurrency: Understand the fundamentals of concurrent programming, how it differs from parallelism, and why it's a must-have in modern software systems.The CSP Advantage: Learn how Communicating Sequential Processes eliminate common issues like deadlocks, race conditions, and starvation through message-passing over structured channels.Python’s Full Concurrency Arsenal: Dive deep into threading, multiprocessing, asyncio, and third-party tools like Celery, Ray, and Dask to build scalable and maintainable systems.Process and Thread Mastery: Gain expert-level understanding of processes vs. threads and apply them using real-world analogies and code examples.Robust Synchronization Techniques: Implement critical constructs like locks, semaphores, events, queues, and custom channel patterns using both built-in and advanced Python libraries.Hands-On Projects and Exercises: Strengthen your skills with coding exercises after every chapter—from building simple CSP models to architecting complex distributed worker pools and debugging real concurrent applications.Real-World Case Studies: Explore practical use cases, including CSP-based web servers, concurrent web scrapers, distributed pipelines, and performance-optimized applications.📘 Structured to Build Your Skills from the Ground UpThis book is meticulously organized into five progressive parts:Introduction to Concurrency and CSP: Grasp the critical concepts and set up your first sequential and multithreaded Python programs.Mastering Python’s Concurrency Tools: Implement CSP with Python’s queue.Queue and asyncio.Queue, explore synchronization strategies, and prevent common concurrency pitfalls.Real-World Applications of CSP: Build practical, scalable solutions for networked systems, parallel processing, and I/O-bound services.Advanced Concepts and Scaling: Learn to apply CSP in distributed environments using Celery, Dask, and Ray to solve industry-grade problems.Final Project and Future Roadmap: Design, develop, and deploy a high-performance concurrent system with full documentation and debugging walkthroughs.🧠 Who This Book Is ForPython developers wanting to write faster, more responsive, and scalable programs.Software architects and engineers needing to understand CSP for system design.CS students aiming to master concurrency for academic or professional growth.Data engineers and backend developers working with distributed and real-time systems.
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AR$28.853
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AR$19.893
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