Book Image

Parallel Programming with Python

Book Image

Parallel Programming with Python

Overview of this book

Table of Contents (16 chapters)
Parallel Programming with Python
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


We studied the use of a low-level resource to establish communication among processes with no relation between them. Further, we have taken a look at using the PP module, which helps us abstract the communication among the local processes, including distributed processes. PP is a convenient tool for building simple, small, parallel, and distributed Python applications.

In the next chapter, we will learn how to use a module called Celery for the execution of tasks in a parallel and distributed way.