Welcome! Today, we will manage exceptions within Python functions, much like an astronaut tackling obstacles in space. We will delve into the concept of functions, acquaint ourselves with the handling of exceptions, and investigate their operation during function calls.

Let's take a moment to recap: An exception, an error that can lead to a program crash, can be disruptive. However, a Python function can attempt certain tasks and catch potential exceptions using a try-except-finally block. This is similar to an astronaut preparing for potential hurdles. Below is an illustration:

This function monitors for a ZeroDivisionError when performing division.

The raise keyword in Python triggers an exception manually within a function. Consider a function that calculates a square root — an error should occur if the input is negative!

An exception is raised if a negative input is detected.

The code that calls a function handles any possible exceptions that the function might throw. This is illustrated as follows: