Welcome to Part 10 of our Python practice series! We're now moving from writing scripts to building structured programs. Object-Oriented Programming (OOP) is a paradigm for organizing code around "objects," which can be thought of as custom data types.

we're diving into practical, action-oriented challenges that showcase the power and elegance of Python's built-in data types. You'll learn how to clean up messy string data, extract specific subsets from lists, safely update dictionaries, and use the power of sets to compare data.