episode 8 Errors, Exceptions & Debugging in Python

🎓 Episode 8: Errors, Exceptions & Debugging in Python – Build Resilient Code

Welcome to Episode 8 of the Python Developer Bootcamp!

In this episode, we explore how to handle and debug errors in Python the professional way. Learn how to anticipate problems, catch exceptions gracefully, and debug your programs efficiently.

✅ What You’ll Learn:
- What exceptions are and how to use try/except blocks
- Using the finally clause for guaranteed cleanup
- Raising your own exceptions for better clarity
- Creating custom error classes
- Debugging with print(), dir(), type(), and the pdb debugger

🧠 Key Concepts:
- Python’s exception hierarchy
- Error resilience and best practices
- Practical debugging strategies for real-world coding

🚀 By the end of this lesson, you’ll be confidently building Python apps that are robust, resilient, and easier to debug.

🔔 Next: Code organization with modules, packages, and imports.

#Python #ExceptionHandling #Debugging #LearnToCode #DeveloperBootcamp

00:00 – 00:40 – Introduction
Understanding errors in programming.
00:40 – 02:00 – What are Exceptions?
What exceptions are and why they happen.
02:00 – 04:00 – try/except in Action
Using try/except to handle runtime errors.
04:00 – 05:30 – finally Block
Code that always runs, even after an error.
05:30 – 07:00 – Raising Exceptions
raise keyword and custom error messages.
07:00 – 08:30 – Custom Exceptions
Creating your own error classes.
08:30 – 10:30 – Debugging Techniques
print(), type(), dir(), and the pdb module.
10:30 – 12:00 – Recap & What’s Next
Summary and intro to code organization.