Jupyter Notebook Lab — Module 06#

Error Handling, Exceptions & Debugging

Practice writing try/except blocks, triggering exceptions intentionally, and building analytics pipelines that process messy real-world data without crashing.

Download#

📓 Student Notebook .ipynb 🔑 Answer Key coming soon

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

What You’ll Practice#

  1. Triggering and reading Python exceptions and tracebacks
  2. Writing try/except blocks for specific exception types
  3. Handling multiple exceptions with separate except clauses
  4. Building an error log while continuing to process a dataset
  5. Applying error handling to real-world messy customer data

Learning Objectives#

By completing this notebook you will be able to:

  • Read and interpret Python exception messages and tracebacks
  • Write try/except blocks that catch TypeError, ValueError, and KeyError
  • Design functions that handle data errors gracefully and return informative results
  • Build analytics workflows that process imperfect data without crashing
  • Distinguish between errors that should stop execution vs. errors that should be logged

Next Module: Module 07 — Classes & OOP →