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Python Parallel Programming Cookbook

You're reading from   Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

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Product type Paperback
Published in Aug 2015
Last Updated in Feb 2025
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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 Zaccone Zaccone
Author Profile Icon Zaccone
Zaccone
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Toc

Table of Contents (8) Chapters Close

Preface 1. Getting Started with Parallel Computing and Python FREE CHAPTER 2. Thread-based Parallelism 3. Process-based Parallelism 4. Asynchronous Programming 5. Distributed Python 6. GPU Programming with Python Index

Using Celery to distribute tasks

Celery is a Python framework used to manage a distributed task, following the Object-Oriented Middleware approach. Its main feature consists of handling many small tasks and distributing them on a large number of computational nodes. Finally, the result of each task will then be reworked in order to compose the overall solution.

To work with Celery, we need the following components:

  • The Celery module (of course!!)
  • A message broker. This is a Celery-independent software component, the middleware, used to send and receive messages to distributed task workers. A message broker is also known as a message middleware. It deals with the exchange of messages in a communication network. The addressing scheme of this type of middleware is no longer of the point-to-point type but is a message-oriented addressing scheme. The best known is the Publish/Subscribe paradigm.
    Using Celery to distribute tasks

    The message broker architecture

Celery supports many types of message brokers—the most complete...

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