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Master Concurrent Programming with Python and CSP: Hands-On Exercises for Building Efficient Sequential Processes
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0.28 kg
0.28 kg
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Si
Si
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Sobre este producto
- The 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.
- 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.
- Python 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.
₡ 9,710
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