Jupyter Notebook Lab — Module 07#

Classes & Object-Oriented Programming

Practice defining Python classes, creating objects, and calling methods. You’ll build a Customer class from scratch and extend it to model a real customer portfolio.

Download#

Open the .ipynb file in Google Colab by selecting File → Upload notebook.

What You’ll Practice#

1. Defining a class with __init__ and instance attributes
2. Adding methods for purchase tracking and tier classification
3. Creating and using object instances
4. Building a portfolio of objects and processing them with a shared interface
5. Extending a class with new methods

Learning Objectives#

By completing this notebook you will be able to:

• Define a class with __init__, instance attributes, and methods
• Create object instances and access their attributes and methods
• Understand the role of self in class method definitions
• Recognize why libraries like Pandas and Matplotlib use an object-oriented design
• Read and interpret class-based code in professional analytics scripts

Next Module: Module 08 — Files, APIs & Data Ingestion →