PYTHON PROGRAM • EXCEPTIONS & FILES
Handle Multiple Exception Types in Python
Learn handle multiple exception types in python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
Sample input
No input required
Sample output
ValueError
COMPLETE PYTHON PROGRAM
Complete Python implementation
value = 'abc'
try:
print(int(value))
except (ValueError, TypeError) as error:
print(type(error).__name__)CURRENT STEP
SELECTED LINE
EXPECTED OUTPUT FOR THE SAMPLE
ValueError
Step 0 of 0
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to handle multiple exception types.
- Execute the operation safely with Exception tuple and ValueError.
- Display the result for handle multiple exception types and compare it with the documented sample output.
This example of handle multiple exception types protects the operation with explicit exception handling. It demonstrates Exception tuple and ValueError and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
Time complexity
O(1)
Auxiliary space
O(1)
DEBUGGING CHECKLIST
Common mistakes
Check this
For handle multiple exception types, keep the data shape and value types consistent with Exception tuple.
Check this
Keep every dependent statement inside the correct indented Python block.
Check this
Verify the final Exception tuple and ValueError result against the sample before trying new data.
Try it yourself
Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.
