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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

Summary

In this chapter, we learned about container virtualization. Containers are similar to virtual machines in their ability to isolate computing resources but different in the sense that they are lightweight and fast to deploy.

We saw how to use Docker containers to build Python applications and docker-compose to build multi-container applications on a single host.

Later in the chapter, we learned how networks are constructed with Docker containers by using the default bridge, custom bridges, and host options. Containers can also help with network operating system testing using the Containerlab project.

In the next chapter, we will look at how we can use Python in network security.

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