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Hands-On Enterprise Automation with Python

You're reading from   Hands-On Enterprise Automation with Python Automate common administrative and security tasks with Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998512
Length 398 pages
Edition 1st Edition
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Bassem Aly Bassem Aly
Author Profile Icon Bassem Aly
Bassem Aly
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Table of Contents (20) Chapters Close

Preface 1. Setting Up Our Python Environment 2. Common Libraries Used in Automation FREE CHAPTER 3. Setting Up the Network Lab Environment 4. Using Python to Manage Network Devices 5. Extracting Useful Data from Network Devices 6. Configuration Generator with Python and Jinja2 7. Parallel Execution of Python Script 8. Preparing a Lab Environment 9. Using the Subprocess Module 10. Running System Administration Tasks with Fabric 11. Generating System Reports and System Monitoring 12. Interacting with the Database 13. Ansible for System Administration 14. Creating and Managing VMware Virtual Machines 15. Interacting with the OpenStack API 16. Automating AWS with Boto3 17. Using the Scapy Framework 18. Building a Network Scanner Using Python 19. Other Books You May Enjoy

Python multiprocessing library

The multiprocessing module is Python's standard library that is shipped with Python binaries, and it is available from Python 2.6. There's also the threading module, which allows you to spawn multiple threads, but they all share the same memory space. Multiprocessing comes with more advantages than threading. One of them is isolated memory space for each process, and it can take advantage of multiple CPUs and cores.

Getting started with multiprocessing

First, you need to import the module for your Python script:

import multiprocessing as mp

Then, wrap your code with a Python function; this will allow the process to target this function and mark it as a parallel execution.

Let's...

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