Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Enterprise Automation with Python

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

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998512
Length 398 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Bassem Aly Bassem Aly
Author Profile Icon Bassem Aly
Bassem Aly
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Setting Up Our Python Environment FREE CHAPTER 2. Common Libraries Used in Automation 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image