Master the art of using Python for a diverse range of network engineering tasks to thrive in the next era of networking
Being able to automate and increase network change velocity has become critical to many businesses. Networks in your infrastructure is at the foundation of how your application can be deployed, maintained, and ultimately service your customer. Python is the ideal language for network engineer to start tapping into tools that were previously only available to systems engineers and application developers. It will help you build on your existing network knowledge to expand into the world of programmability.
This edition will begin by reviewing the basics of the Python language and how it can interact with both legacy and API-enabled network devices. You will then learn to leverage high-level Python packages and frameworks to perform network engineering tasks for automation, monitoring, management, and enhanced security. Furthermore, you will use Jenkins to illustrate the necessary steps to deploy your network changes automatically.
By the end of the book, you will be able to perform all networking tasks using Python with ease.
If you are a network engineer or a programmer who wants to use Python for networking, then this book is for you. A basic familiarity with networking-related concepts such as TCP/IP and a familiarity with Python programming will be useful.
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Eric Chou is a seasoned technologist with over 18 years of experience. He has worked on and helped managing some of the largest networks in the industry while working at Amazon AWS, Microsoft Azure, and other companies. Eric is passionate about network automation, Python, and helping companies build better security postures. Eric is the author of 'Mastering Python Networking' (Packt Publishing, 1st ed. 2017, 2nd ed. 2018), co-author of 'Distributed Denial of Service (DDoS): Practical Detection and Defense' (O'Reilly Media, 2018), and holds two patents in IP Telephony. He shares his deep interest in technology through his books, classes, blog, and contribute to some of the popular Python open source projects.
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