Python 3: Handling Errors -

: Contains the code that executes if a specific error occurs.

The fundamental structure for handling errors is the try...except block. : Encloses "risky" code that might fail.

: Use the raise keyword to manually trigger an exception when a specific condition isn't met. Python 3: Handling errors

try: number = int(input("Enter a number: ")) result = 10 / number except ValueError: print("Error: Please enter a valid integer.") except ZeroDivisionError: print("Error: Cannot divide by zero.") Use code with caution. Copied to clipboard Expanding Control: else and finally

: For domain-specific logic, you can define your own error classes by inheriting from the built-in Exception class. : Contains the code that executes if a specific error occurs

: Always runs regardless of whether an error occurred. This is essential for resource cleanup , such as closing files or database connections. Strategic Techniques

For more complex logic, Python provides two optional clauses: : Use the raise keyword to manually trigger

In Python 3, error handling is managed through , which are events that disrupt the normal flow of a program . Mastering these tools allows you to create robust applications that can recover from issues like invalid user input or missing files instead of crashing. The Core Mechanism: try...except