Automating Networks with Python
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Every network engineer knows it; automation is coming. Python is the de-facto standard for automated network operations these days, and for good reason. Join me to explore a variety of popular and modern Python tools to solve real business problems.
Many want to automate their production networks but simply don’t know how. In this course, Automating Networks with Python, you will learn foundational knowledge of/gain the ability to overcome this challenge. First, you will learn how to collect information from, and make updates to, network devices using legacy SSH command-line methods. This includes diving into tools like Paramiko, Netmiko, and NAPALM. Next, you will discover how to write custom parsers for more advanced CLI-based automation, to include unit testing with pytest. Finally, you will explore how to use modern APIs and their supporting technologies, including NETCONF, RESTCONF, and YANG. When you’re finished with this course, you will have the skills and knowledge of automated network management needed to design, implement, and maintain professional-grade infrastructure as code solutions for your business.
Author Name: Nick Russo
Author Description:
Nicholas (Nick) Russo, CCDE #20160041 and CCIE #42518, is an internationally recognized expert in IP/MPLS networking and design. To grow his skillset, Nick has been focused advancing Network DevOps via automation for his clients. Recently, Nick has been sharing his knowledge through online video training and speaking at industry conferences. Nick also holds a Bachelor’s of Science in Computer Science from the Rochester Institute of Technology (RIT). Nick lives in Maryland, USA with his wife, Car… more
Table of Contents
- Course Overview
1min - Reorienting Python for Network Applications
30mins - Automating Networks with Paramiko and Netmiko
31mins - Responsibly Parsing Text Using Python
24mins - Abstracting Network Automation Tasks with NAPALM
30mins - Orchestrating Complex Processes with Nornir
32mins - Advancing beyond SSH: Automating with APIs
48mins - Writing Production-grade Python Code
29mins
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