Error Handling and Exceptions
Errors and exceptions are a part of any programming language. They occur when something goes wrong during the execution of a program. Understanding how to handle these errors and exceptions is crucial for creating robust and reliable programs. This guide will cover the basics of error handling and exceptions in Python, with detailed explanations and examples.
There are mainly two types of errors in Python:
- Syntax Errors: These are errors in the syntax of the code. They are detected by the Python interpreter when the code is parsed and must be corrected before the code can run.
Example:
- Exceptions: These are errors that occur during the execution of a program. They can be caught and handled to prevent the program from crashing.
Example:
The try block lets you test a block of code for errors. The except block lets you handle the error.
Syntax:
You can catch specific exceptions to handle different types of errors differently.
Example:
You can catch multiple exceptions in a single except block by specifying a tuple of exception types.
Example:
The else block lets you execute code if no exceptions were raised.
Example:
The finally block lets you execute code, regardless of whether an exception was raised or not. It’s typically used to release resources, such as closing a file.
Example:
You can raise exceptions using the raise keyword. This is useful for enforcing certain conditions in your code.
Example:
You can define your own exceptions by creating a new class that inherits from the built-in Exception class.
Example:
Write a program that handles both ValueError and ZeroDivisionError in a division operation.
Write a program to read a file and handle the FileNotFoundError exception.
Create a custom exception called NegativeValueError and use it to validate that a user input is not negative.
Write a program that asks for two numbers and performs division. Handle exceptions for invalid input and division by zero.
In this comprehensive guide, we’ve covered the basics of error handling and exceptions in Python. By understanding how to handle different types of errors, you can create more robust and reliable programs. Practice these concepts with the provided examples and exercises to strengthen your understanding. Happy coding!