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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
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
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Table of Contents (8) Chapters Close

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

Chapter 5. Distributed Python

In this chapter, we will cover the following recipes:

  • Using Celery to distribute tasks
  • How to create a task with Celery
  • Scientific computing with SCOOP
  • Handling map functions with SCOOP
  • Remote method invocation with Pyro4
  • Chaining objects with Pyro4
  • Developing a client-server application with Pyro4
  • Communicating sequential processes with PyCSP
  • Using MapReduce with Disco
  • A remote procedure call with RPyC
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