Packets & Python

Chapter 27: Managing Python Projects with Poetry — Part 3

Elevate your network automation development environment by adopting these software-focused cultural practices.

Chapter 26: Managing Python Projects with Poetry — Part 2

Bring consistency, clarity, and operational safety to your network automation code.

Chapter 25: Managing Python Projects with Poetry — Part 1

Bring consistency, clarity, and operational safety to your network automation code.

Chapter 24: Foundation Before Features — Pyenv, Poetry, and Venv, Part 2

Treat Python versions, virtual environments, and dependencies as infrastructure: predictable, auditable, and production-safe.

Chapter 23: Foundation Before Features — Pyenv, Poetry, and Venv, Part 1

Standardizing runtimes across laptops, jump hosts, and CI environments for reliability and efficiency

Chapter 22: Taming the Python Jungle — From Pip to Production

Why package management is the foundation of clean, scalable NetDevOps workflows.

Chapter 21: From Scripts to Systems with Python OOP - Part 2

Chapter 20: From Scripts to Systems with Python OOP - Part 1

Why OOP solves the mess of sprawling logic, especially in infrastructure where devices, connections, and services have distinct identities and behaviors.

Chapter 19: Structuring Network Data for Scale and Speed with Arrays

Learn how Python arrays (and their powerful cousins in NumPy) bring structure, speed, and clarity to network engineering workflows.

Chapter 18: Writing Smarter Network Scripts with Python Lambdas

Python lambdas help you write composable, testable, and elegant logic for device filtering, config validation, and more.

Chapter 17: How Python Functions Turn Repetitive Network Logic into Elegant Automation - Part 1

Learn how to write clean, reusable functions that turn your automation logic into maintainable building blocks—shifting from repetition into elegant engineering.

Chapter 16: Automate Repetition - Python Loops for Network Engineers

Discover how Python loops eliminate repetitive CLI work, making your automation smarter, safer, and ready for scale, even in complex nested data.