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Mastering Python Networking

Mastering Python Networking

By : Eric Chou
4.5 (88)
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Mastering Python Networking

Mastering Python Networking

4.5 (88)
By: Eric Chou

Overview of this book

Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Fourth edition, you'll embark on a Python-based journey to transition from a traditional network engineer to a network developer ready for the next generation of networks. This new edition is completely revised and updated to work with the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security, followed by AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Test-Driven Development for Networks

In the previous chapters, we used Python to communicate with network devices, monitor and secure a network, automate processes, and extend an on-premises network to public cloud providers. We have come a long way from having to exclusively use a terminal window and manage the network with a CLI. When working together, the services we have built function like a well-oiled machine that gives us a beautiful, automated, programmable network. However, the network is never static and is constantly changing to meet the demands of the business. What happens when the services we build are not working optimally? As we have done with monitoring and source control systems, we are actively trying to detect faults.

In this chapter, we are extending the active detection concept with test-driven development (TDD). We will cover the following topics:

  • An overview of TDD
  • Topology as code
  • Writing tests for networking
  • pyATS and Genie...

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