Exception Handling in Python

Errors that occur when the code violates the rules of the programming language, for example, incorrect syntax.

Errors that occur during the execution of the program, for example, dividing by zero or accessing a non-existent file.

Errors that occur due to logical flaws in the code, for example, using an incorrect formula or making a wrong assumption.

Unexpected events that occur during program execution, causing the program to stop or behave abnormally.

Python's way of handling errors that occur during program execution. It allows the program to continue running even if an error occurs.

The process of triggering an exception manually within your code.

A block of code that executes when an exception is caught.

A block of code that always executes, regardless of whether an exception was raised or not.

An error that occurs when a function receives the correct type of data but the value is inappropriate.

An error that occurs when a program tries to access a file that doesn't exist, is corrupted, or cannot be opened.

Code written to catch and handle exceptions during program execution.

Exceptions that are built into the Python interpreter and represent common errors that happen during execution.

A collection of built-in exceptions in Python that provides standard solutions for common errors.

A block of code used to identify and handle specific exceptions. It runs the code that follows the 'try' block only if an exception occurs.

A block of code where potential exceptions may arise. It allows for specific handling of these exceptions.

A block of code that always executes, regardless of whether an exception occurred in the 'try' block or not. Useful for cleaning up resources, closing files, or performing necessary actions.

The process of halting program execution when an exception occurs and the system is unable to find an appropriate exception handler.

Python categorizes errors into specific types, allowing for tailored handling.

Separate code blocks for error handling and main program logic.

Code that might cause an error is placed inside a specific block.

This code executes only if an error occurs, handling the issue.

Python creates an object containing information about the error.

Details like error type, file name, and location are included in the exception object.

The raise statement in Python allows you to manually trigger an exception, interrupting the normal flow of your program.

The argument passed to the 'raise' statement provides additional information about the exception, helping with debugging. It's typically a string message.

When an exception is raised, the code following the 'raise' statement is skipped. This is because the program flow directly jumps to the exception handler.

IndexError is a built-in exception in Python that occurs when you try to access an element in a sequence (like a list) using an index that is out of bounds.

When an exception is raised, it doesn't necessarily mean the program ends. Python's exception handling mechanism allows you to catch and handle errors gracefully.

You can define your own exceptions by creating new classes that inherit from the built-in 'Exception' class. This allows you to create custom error types tailored to your program's specific requirements.

The 'assert' statement checks a condition and raises an 'AssertionError' if the condition is False. This is useful for verifying assumptions or detecting logic errors in your code.

Exception handling is essential for writing robust and user-friendly programs. It helps prevent unexpected crashes and allows the program to recover gracefully from errors.

A built-in Python error that is raised when trying to divide a number by zero, preventing the program from executing.

The code section after the try...except block, which runs regardless of whether an exception occurred or was caught.

Statements within the try block that are executed normally until an exception is encountered.

The name of the specific exception type the except block is designed to handle.