Fabio Nelli
Unleash the Full Power of Python to Run Faster Code, Scale Smarter, and Compute Without Limits.Book DescriptionPython is the backbone for data science, AI, and cloud computing, and the demand for speed and scalability has never been higher. That’s why mastering parallel and high-performance programming is essential to transform Python into a tool that meets modern performance demands.Building on the success of the first edition, Parallel and High Performance Programming with Python (2nd Edition) expands and modernizes the original work, adding new frameworks, deployment patterns, and acceleration techniques for next-generation computing.What you will learn● Design and optimize high-performance Python applications using parallelism, concurrency, and async patterns.● Profile, diagnose, and eliminate CPU, I/O, and memory bottlenecks for real-world workloads.Table of Contents1. Introduction to Parallel Programming2. Parallel Programming with Threads3. Parallel Programming with Processes4. Asynchronous Programming5. Distributed Python6. GPU Programming with Python7. Parallel Computing Applications8. Parallel Computing for Data Science9. Parallel Computing for Artificial Intelligence10. Future of Parallel Programming11. Modern Frameworks for Parallelism and Distribution: Ray and Modin12. PySpark13. Joblib14. Parallelization on Cloud and Serverless Systems15. Parallel Programming with FPGAs16. Introduction to Quantum Computing and Quantum Architectures Index