Book Image

Mastering Python Networking - Third Edition

By : Eric Chou
Book Image

Mastering Python Networking - Third Edition

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, Third edition, you’ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. 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 Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network.
Table of Contents (18 chapters)
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In this chapter, we started to move onto the path of building RESTful APIs for our network. We looked at different popular Python web frameworks, namely Django and Flask, and compared and contrasted the two. By choosing Flask, we are able to start small and expand on features by using Flask extensions.

In our lab, we used the virtual environment to separate the Flask installation base from our global site packages. The lab network consists of four nodes, two of which we have designated as spine routers while the other two are designated as leaf routers. We took a tour of the basics of Flask and used the simple HTTPie client to test our API setup.

Among the different setups of Flask, we placed special emphasis on URL dispatch as well as URL variables because they are the initial logic between the requesters and our API system. We took a look at using Flask-SQLAlchemy and SQLite to store and return network elements that are static in nature. For operation tasks, we also...