Jupyter Notebook Lab — Module 02#

Containers: Lists, Dictionaries, Tuples & Sets

Practice creating and working with all four Python container types using realistic customer and product data scenarios.

Download#

What You’ll Practice#

1. Creating and modifying lists — append, remove, index, and slice
2. Building dictionaries — named-field records and key access
3. Using tuples — fixed reference data and tuple unpacking
4. Applying sets — finding unique values and set operations
5. Combining containers — list of dictionaries for multi-customer datasets

Learning Objectives#

By completing this notebook you will be able to:

• Choose the right container type for a given business data scenario
• Access, add, and modify data within each container type
• Use built-in functions (len(), sum(), sorted(), set()) with containers
• Build a structured dataset using nested containers (list of dictionaries)
• Perform set operations to answer analytical questions about overlapping segments

Next Module: Module 03 — Branching & Control Flow →