Python Exception Handling

Python’s Raise Statement with From Clause

Exception Chaining Syntax

Basic Exception Chaining

1
2
3
4
5
6
try:
    # Some operation that might fail
    risky_operation()
except SomeException as e:
    # Re-raise with context preserved
    raise NewException("Custom message") from e

Benefits of Exception Chaining

  • Full Traceback Preservation: Maintains complete error history
  • Better Debugging: Shows both original and current exception contexts
  • Clear Error Propagation: Makes it obvious how errors propagated through code
  • Professional Error Handling: Industry best practice for exception management

Exception Handling Best Practices

When to Use Exception Chaining

  • Converting between exception types (e.g., library exceptions to domain exceptions)
  • Adding context to low-level errors
  • Creating more meaningful error messages for users
  • Maintaining debugging information in complex call stacks

Exception Suppression

1
2
# Suppress original exception (use sparingly)
raise NewException("Message") from None

Debugging Benefits

  • Helps identify root cause of complex errors
  • Provides complete context for error investigation
  • Essential for production debugging and error monitoring
  • Improves error reporting and logging quality