Parallel and High Performance Programming with Python (2nd Edition): Transform Your Python Code into a High-Performance Powerhouse Using Multithreading, CUDA, PyTorch, Spark, and Dask

Unleash the Full Power of Python to Run Faster Code, Scale Smarter, and Compute Without Limits.

Key Features

● Get a free one-month digital subscription to www.avaskillshelf.com

● Master end-to-end Python parallelism from multithreading and multiprocessing to distributed computing on GPUs, clusters, and the cloud.

● Accelerate real-world workloads using cutting-edge frameworks like Ray, Dask, PyTorch, Spark, Modin, Joblib, and CUDA.

● Deploy high-performance pipelines at scale with Kubernetes, serverless computing, FPGAs, and emerging quantum acceleration techniques.

Book Description

Python 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 Contents

1. Introduction to Parallel Programming

2. Parallel Programming with Threads

3. Parallel Programming with Processes

4. Asynchronous Programming

5. Distributed Python

6. GPU Programming with Python

7. Parallel Computing Applications

8. Parallel Computing for Data Science

9. Parallel Computing for Artificial Intelligence

10. Future of Parallel Programming

11. Modern Frameworks for Parallelism and Distribution: Ray and Modin

12. PySpark

13. Joblib

14. Parallelization on Cloud and Serverless Systems

15. Parallel Programming with FPGAs

16. Introduction to Quantum Computing and Quantum Architectures

       Index