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Parallel Programming with Python

Develop efficient parallel systems using the robust Python environment This link for educational purpose only. Please remove file from your computer after familiarization.

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.

Book year:

Book pages: 128

ISBN: 978-1-78328-839-7

Book language: en

File size: 2.06 MB

File type: pdf

Published: 23 May 2019 - 15:17