Generic exception handling in Python - Mini Project: Build & Apply

Generic exception handling

📋 What You'll Learn

💡 Why This Matters

🌍 Real World

Programs often need to handle unexpected errors like dividing by zero or wrong input types to avoid crashing.

💼 Career

Knowing how to use generic exception handling helps you write robust code that works reliably in many situations.

1

Create two number variables

Create two variables called numerator and denominator with values 10 and 0 respectively.

Python

# Create variables numerator and denominator with values 10 and 0
# Your code here

Need a hint?

Use simple assignment to create the variables with the exact names and values.

2

Create a result variable

Create a variable called result and set it to None to hold the division result.

Python

numerator = 10
denominator = 0
# Create a variable result and set it to None
# Your code here

Need a hint?

Set result to None before the division to show it is empty initially.

3

Use try-except to divide safely

Use a try block to divide numerator by denominator and assign it to result. Use a generic except block to catch any exception and assign the string 'Error occurred' to result.

Python

numerator = 10
denominator = 0
result = None
# Use try-except to divide numerator by denominator
# Assign the result or 'Error occurred' to result
# Your code here

Need a hint?

Put the division inside try, and catch all exceptions with except without specifying the error type.

4

Print the result

Write a print statement to display the value of result.

Python

numerator = 10
denominator = 0
result = None
try:
    result = numerator / denominator
except:
    result = 'Error occurred'
# Print the result
# Your code here

Need a hint?

Use print(result) to show the final output.