Python Theory for Network Engineers

Get practical, hands-on examples of Python theories and concepts, such as objects, functions, classes, and many more.

Introduction

• Python theory for network engineers

1. Python Basics

• History and use cases
• Python installation and script execution
• Network lab CML 2.1
• Zen of Python

2. Python Objects

• Python data types
• Strings and string methods
• Python numbers and math
• Python collections: Tuples, lists, and dictionaries
• Python superpower: Imports
• Challenge: Getting information from network gears
• Solution: Getting Information from network gears

3. Conditionals and Loops

• Conditional logic: If/then and compare values
• Lab: Demonstrating if/then and value comparison
• Conditional logic: For and while loops
• Lab: Demonstrate for and while loops
• Challenge: Making your script do repeatable tasks
• Solution: Making your script do repeatable tasks

4. Python Functions

• File inputs and outputs
• Lab: Working with files, file paths, and file operations
• Python functions
• Lab: Writing Python functions
• Challenge: Functionalize network tasks
• Solution: Functionalize network tasks

5. Python Classes

• Python classes
• Lab: Python classes for network device
• Python modules
• Lab: Python modules for grouping
• Python packages
• Lab: Python packages
• Data center as code

Conclusion

• Next steps in your Python journey