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Distributed Computing with Python

You're reading from  Distributed Computing with Python

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781785889691
Pages 170 pages
Edition 1st Edition
Languages
Toc

Table of Contents (15) Chapters close

Distributed Computing with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. An Introduction to Parallel and Distributed Computing 2. Asynchronous Programming 3. Parallelism in Python 4. Distributed Applications – with Celery 5. Python in the Cloud 6. Python on an HPC Cluster 7. Testing and Debugging Distributed Applications 8. The Road Ahead Index

The mixed paradigm


Since most of the computers we buy today (2016) are multicore and often even both multiprocessor and multicore, any distributed application that we will write is likely to run on such systems. This brings us to being able to exploit both distributed computing and parallel computing techniques in our code. This mixed distributed-parallel paradigm is the de-facto standard nowadays when writing applications distributed over the network. As usual, reality is rarely binary.

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Distributed Computing with Python
Published in: Apr 2016 Publisher: ISBN-13: 9781785889691
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