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Daniel Arbuckle???s Mastering Python

You're reading from Daniel Arbuckle???s Mastering Python Build powerful Python applications

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787283695

Length 274 pages

Edition 1st Edition

Languages

Python

Tools

Git

Concepts

Programming Language

Author (1):

Daniel Arbuckle

View More author details

Table of Contents (18) Chapters

Title Page

Credits

About the Author

www.PacktPub.com

Customer Feedback

Preface

1. Python Primer FREE CHAPTER

2. Setting Up

3. Making a Package

4. Basic Best Practices

5. Making a Command-Line Utility

6. Parallel Processing

7. Coroutines and Asynchronous I/O

8. Metaprogramming

9. Unit Testing

10. Reactive Programming

11. Microservices

12. Extension Modules and Compiled Code

Chapter 6. Parallel Processing

In the previous chapter, we created a text mode utility program and you learned about several of Python's built-in packages. In this chapter, we're going to see how to use both the high-level concurrent.futures package and the lower-level multiprocessing package to help us write parallel programs. Both are part of the Python standard library.

We will cover the following two topics in detail:

Using the concurrent.futures package
Using multiprocessing packages

The rest of the chapter is locked

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Authors (1)

Daniel Arbuckle

Daniel Arbuckle

Daniel Arbuckle gained his PhD in Computer Science from the University of Southern California. He has published numerous papers along with several books and video courses, and he is both a teacher of computer science and a professional programmer.

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