Parallel Programming with Python: Develop Efficient Parallel Systems Using the Robust Python Environment

Develop efficient parallel systems using the robust Python environment

Overview
Demonstrates the concepts of Python parallel programming
Boosts your Python computing capabilities
Contains easy-to-understand explanations and plenty of examples

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.

What you will learn from this book
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

Approach

A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world.