Jupyter Notebook Lab — Module 05#

Functions & Abstraction

Practice defining and composing reusable functions in Python, building a multi-function analytics pipeline from scratch.

Download#

What You’ll Practice#

1. Defining functions with def, parameters, and return statements
2. Applying functions to datasets inside loops
3. Using default parameter values and optional arguments
4. Returning dictionaries from functions for structured results
5. Composing functions — calling one function from inside another

Learning Objectives#

By completing this notebook you will be able to:

• Define functions with def, parameters, and return statements
• Call functions with positional and keyword arguments
• Write functions that encapsulate business rules (tier classification, metric calculation)
• Use functions to eliminate repeated code patterns
• Compose multiple functions into a pipeline that processes data end-to-end

Next Module: Module 06 — Error Handling & Debugging →