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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

Product type Paperback

Published in Aug 2015

Last Updated in Feb 2025

Publisher

ISBN-13 9781785289583

Length 286 pages

Edition 1st Edition

Languages

Python

Concepts

Parallel Programming

Author (1):

Zaccone

View More author details

Table of Contents (8) Chapters

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

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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Tech Concepts

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Programming languages

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Authors (1)

Zaccone

Zaccone

Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).

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