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Mastering Python Networking

You're reading from   Mastering Python Networking Your one-stop solution to using Python for network automation, programmability, and DevOps

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839214677
Length 576 pages
Edition 3rd Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Toc

Table of Contents (18) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python 2. Low-Level Network Device Interactions FREE CHAPTER 3. APIs and Intent-Driven Networking 4. The Python Automation Framework – Ansible Basics 5. The Python Automation Framework – Beyond Basics 6. Network Security with Python 7. Network Monitoring with Python – Part 1 8. Network Monitoring with Python – Part 2 9. Building Network Web Services with Python 10. AWS Cloud Networking 11. Azure Cloud Networking 12. Network Data Analysis with Elastic Stack 13. Working with Git 14. Continuous Integration with Jenkins 15. Test-Driven Development for Networks 16. Other Books You May Enjoy
17. Index

Topology as code

When we discuss topology as code, an engineer might jump up and declare: "The network is too complex, it is impossible to summarize it into code!" From personal experience, this has happened in some of the meetings I have been in. In the meeting, we would have a group of software engineers who want to treat infrastructure as code, but the traditional network engineers in the room would declare that it was impossible. Before you do the same and yell at me across the pages of this book, let's keep an open mind. Would it help if I tell you we have been using code to describe our topology in this book already?

If you take a look at any of the VIRL topology files that we have been using in this book, they are simply XML files that include a description of the relationship between nodes. For example, in this chapter, we will use the following topology for our lab:

Figure 1: The topology graph for our lab

If we open up the topology file, chapter15_topology...

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