If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing applications in a simple way, then this book is for you. You are required to have a basic knowledge of Python development to get the most of this book.

What You Will Learn

Explore techniques to parallelize problems
Integrate the Parallel Python module to implement Python code
Execute parallel solutions on simple problems
Achieve communication between processes using Pipe and Queue
Use Celery Distributed Task Queue
Implement asynchronous I/O using the Python asyncio module
Create thread-safe structures

In Detail

Starting with the basics of parallel programming, you will proceed to learn about how to build parallel algorithms and their implementation. You will then gain the expertise to evaluate problem domains, identify if a particular problem can be parallelized, and how to use the Threading and Multiprocessor modules in Python.

The Python Parallel (PP) module, which is another mechanism for parallel programming, is covered in depth to help you optimize the usage of PP. You will also delve into using Celery to perform distributed tasks efficiently and easily. Furthermore, you will learn about asynchronous I/O using the asyncio module. Finally, by the end of this book you will acquire an in-depth understanding about what the Python language has to offer in terms of built-in and external modules for an effective implementation of Parallel Programming.

This is a definitive guide that will teach you everything you need to know to develop and maintain high-performance parallel computing systems using the feature-rich Python.

About the Author

Jan Palach has been a software developer for 13 years, having worked with scientific visualization and backend for private companies, using C++, Java, and Python technologies.

Jan has a degree in Information Systems from Est�cio de S� University, Rio de Janeiro, Brazil and a postgraduate degree in Software Development from Paran� State Federal Technological University. Currently, he works as Senior System Analyst at a private company within the telecommunication sector, implementing C++ systems; however, he likes to have fun experimenting in Python and Erlang, his two technological passions. Naturally curious, he loves challenges and learning new technologies, meeting new people, and learning about different cultures.

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