🐍 Day 29 of #100DaysOfCode in Python: Mastering Advanced Exception Handling

Welcome to Day 29! Today we delve deeper into Python’s exception handling, exploring advanced techniques that make your code more robust and resilient.

1. Advanced Exception Handling

As your Python projects grow in complexity, so does the need for sophisticated error handling. Python’s advanced exception handling capabilities ensure your code doesn’t just fail gracefully, but also provides valuable insights into what went wrong.

2. Catching Multiple Exceptions

Python allows you to catch multiple exceptions in a single block, which is handy for handling different exceptions with the same code block or logging them uniformly.

try:
    # risky code
except (TypeError, ValueError) as e:
    print(f"An error occurred: {e}")

3. Custom Exceptions

Creating custom exceptions can make your code clearer and more expressive. These are typically derived from the built-in Exception class.

class CustomError(Exception):
    """Base class for custom exceptions"""
    pass

try:
    # code that raises custom exception
    raise CustomError("An error occurred")
except CustomError as e:
    print(e)