Error Handling and Exceptions in Programming

It can become unavailable and vulnerable to attacks.

An exception is raised.

It is raised when there is a syntax error in the code.

It is raised when a function receives an argument of the correct type but with an inappropriate value.

It is raised when you try to divide a number by zero.

Error handling is important in secure programming to ensure that the software remains stable, reliable, and secure by detecting and handling errors, exceptions, and unexpected inputs.

Error handling prevents program crashes by enabling a program to handle unexpected events gracefully, thus preventing it from crashing and leaving the system vulnerable to attacks.

Error handling helps detect and respond to security issues such as input validation errors, buffer overflows, and injection attacks.

Error handling helps maintain program confidentiality by ensuring that error messages do not reveal sensitive information that can be exploited by attackers.

Error handling improves program availability by handling errors effectively and recovering from them quickly.

Error handling can help address security issues like input validation errors, buffer overflows, and injection attacks.

To tailor exceptions to the application's specific needs.

The try keyword starts a block of code that may raise an exception. If an exception is raised, Python looks for a solution in the except block.

Python defines 63 built-in exceptions forming a tree-shaped hierarchy, with the root located on top.

ZeroDivisionError

Using a try-except block and specifying the ZeroDivisionError in the except clause.

To raise an AssertionError if its argument evaluates to False, None, 0, or an empty string.

When trying to access a non-existent element in a sequence.

To handle user interrupts like Ctrl-C to terminate a program's execution.

MemoryError is raised when an operation cannot be completed due to insufficient free memory.

KeyError