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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