Jupyter Notebook Lab — Module 01#

Variables, Expressions & Data Types

Practice working with variables, data types, expressions, and formatted output in a live Python environment. This notebook walks through the core concepts from Module 01 using realistic business analytics scenarios.

Download#

📓 Student Notebook .ipynb 🔑 Answer Key .ipynb

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

What You’ll Practice#

  1. Creating variables of each core data type — int, float, str, bool
  2. Building expressions that calculate business metrics
  3. Inspecting data types with type()
  4. Formatting output with f-strings for business reports
  5. Applying boolean logic to flag customer eligibility

Learning Objectives#

By completing this notebook you will be able to:

  • Distinguish between int, float, str, and bool and choose the right one for a given value
  • Write arithmetic and comparison expressions to derive analytical metrics
  • Format numeric output for currency and business reporting contexts
  • Read and understand code that uses variables, expressions, and data types

Next Module: Module 02 — Containers →