Python Exception Handling

1. Purpose of Exception Handling

Exception handling prevents abrupt program termination and allows controlled recovery from runtime errors.

try:
    result = 10 / 0
except ZeroDivisionError:
    print("Handled division by zero safely")

Ensures stable application behavior.


2. Basic try...except Structure

try:
    number = int("abc")
except ValueError:
    print("Invalid number format")

Separates risky code from error-handling logic.


3. Handling Multiple Exceptions

try:
    value = int("10")
    result = value / 0
except ValueError:
    print("Conversion error")
except ZeroDivisionError:
    print("Division error")

Different exception types can be managed independently.


4. Using try...except...else

else executes only if no exception occurs.


5. Using try...except...finally

finally always runs, making it ideal for resource cleanup.


6. Nested Exception Handling

Allows granular control over layered risky operations.


7. Catching Generic Exceptions

Catches all exceptions; useful for logging but should be used carefully.


8. Re-raising Exceptions

Preserves the original traceback while adding contextual handling.


9. Custom Exception Handling Strategy

Allows domain-specific error control.


10. Production-Grade Exception Handling Pattern

Combines graceful handling, error reporting, and guaranteed execution logic.


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