Book Image

Parallel Programming with Python

By : Jan Palach, Jan Palach V Cruz da Silva
Book Image

Parallel Programming with Python

By: Jan Palach, Jan Palach V Cruz da Silva

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

Setting up the environment


In this section, we will set up two machines in Linux. The first one, hostname foshan, will perform the client role, where app Celery will dispatch the tasks to be executed. The other machine, hostname Phoenix, will perform the role of a broker, result backend, and the queues consumed by workers.

Setting up the client machine

Let us start the setup of the client machine. In this machine, we will set up a virtual environment with Python 3.3, using the tool pyvenv. The goal of pyvenv is to not pollute Python present in the operating system with additional modules, but to separate the developing environments necessary for each project. We will execute the following command to create our virtual environment:

$pyvenv celery_env

The preceding line creates a directory called celery_env in the current path, which contains all the structures necessary to isolate the developing environment in Python. The following screenshot illustrates the structure created in the celery_env...