Python OOP Adventure: Master Object-Oriented Programming

Explore object oriented programming in Python by building a pirate loot sharing system. Organize Python code and apply object oriented programming concepts as Sam tackles the challenge.

Apply inheritance, composition, and polymorphism to distribute 480 ducats by pirate rank, using a sum of ranks loop for fair shares in the first version of pirate payroll.

Represent each pirate as a (name, rank) tuple to reduce fragile code when the crew changes. Use a generator expression and sum to compute shares and verify the 100-ducat total.

Sam updates the pirate payroll using tuples and f-string rounding to two decimals, then adopts a class to enforce rank and role data under the pirate union rules.

Learn how to model data with classes and objects in Python, using a pirate example to show defining a class, the __init__ initializer, and accessing attributes with dot notation.

Learn how UML class diagrams document and communicate software design, showing class name, attributes with data types, and initializers; use inheritance for pirate types in upcoming chapters.

Explore inheritance in python by refactoring a pirate registry: convert specialized titles and ranks into subclasses that inherit a base pirate class, removing duplicated code and hardcoded values.

Explore refactoring to improve structure by extracting classes into modules, creating a data module and a dataloader, and applying the single responsibility principle to simplify dependencies.

Refactor and extend a Python object‑oriented program by adding an extra officer and cannon operator, update two modules, and accommodate dynamic crew and loot changes.

Explore importing JSON in Python by building a plug-in data loader system that uses polymorphism to switch data sources while honoring the open-closed principle.

Add cook and deck scrubber classes to the pirates module and update the Json data loader to use these subclasses, while highlighting open-closed principle and single responsibility.

Discover how composition replaces inheritance by modeling pirates with a separate role class that stores title and rank, enabling flexible pirate types without new subclasses.

Repurpose the old data loader as a test data loader with hard coded data, enabling reliable tests and switching between json and test loaders via a shared interface and polymorphism.

Explore single responsibility design by refactoring a payroll module that calculates pirate shares and returns structured share objects, using payroll and share classes, with aggregation and composition in UML.

Develop a mission module in Python to model crew, loot, and captured ducats using test data and a data loader, and print mission info with a dunder string.

Learn how to load missions from json using a data loader, compare pirates and missions with list comprehension, and apply polymorphism across data sources, then update dependency and uml diagrams.

Update the Python object-oriented programming project to load real currency data from currencies.json, build loot item objects with dictionary comprehension, and test conversions with updated exchange rates.

Explore applying the open-closed principle in Python by updating json data for missions and currencies without changing code, enabling pirate payroll and dynamic rewards.

Explore how inheritance, polymorphism, and composition drive flexible object‑oriented design in Python, with a practical end-to-end exercise and guidance on next steps.

Explore the mechanics of object oriented programming in Python, focusing on classes, objects, and adding types and interfaces to improve your code.