Writing Clean, Reusable Code

Summary

Turning ad-hoc notebook cells into functions and modules that can be reused across projects — a habit that separates hobbyist scripts from production-adjacent data science work.

• 1Refactor a messy notebook into a set of clearly named, reusable functions.
• 2Learn to add docstrings explaining what a function does and what it expects.
• 3Practice moving reusable logic out of a notebook into a separate Python script.