Python OOP (Object-Oriented Programming)

What you will be able to do

• Model real-world domains using classes, attributes and methods
• Use constructors (__init__) and manage instance vs class variables
• Implement encapsulation with private conventions and @property getters/setters
• Apply inheritance, method overriding and cooperative multiple inheritance with super()
• Leverage Python dunder/magic methods for operator overloading and string representation
• Write clean, concise data models with Python dataclasses

What you will learn

1. 3.1Classes & Objects4 lessons

   Define classes, instantiate objects, and manage state.

   1. Classes, Instances and the self Parameter15 min
   2. Constructors and State Initialization with __init__15 min
   3. Instance Methods and self15 min
   4. Class Variables vs Instance Variables15 min
2. 3.2Encapsulation & Properties4 lessons

   Protect data and write Pythonic getters and setters.

   1. Encapsulation Conventions and Name Mangling15 min
   2. The @property Decorator and Setters15 min
   3. Validation and Data Integrity with Properties15 min
   4. Encapsulation Checkpoint and Interactive Lab20 min
3. 3.3Class & Static Methods3 lessons

   Build objects from text and dictionaries with @classmethod, keep helpers in a class with @staticmethod only when they belong there, and choose between methods and plain functions.

   1. @classmethod and Alternative Constructors20 min
   2. @staticmethod and When a Plain Function Is Better18 min
   3. Class and Static Methods Checkpoint25 min
4. 3.4Inheritance & Polymorphism4 lessons

   Reuse logic, master multiple inheritance, and define interfaces.

   1. Single Inheritance and Method Overriding15 min
   2. The super() Proxy and Method Resolution Order (MRO)18 min
   3. Polymorphism and Duck Typing15 min
   4. Abstract Base Classes (abc Module)18 min
5. 3.5Composition & Relationships4 lessons

   Build objects from parts, pass collaborators in, and know when to use a mixin instead of inheritance.

   1. Has-a versus Is-a: Why Prefer Composition18 min
   2. Objects Working Together: Collaborators and Passing Them In20 min
   3. Mixins and When Not to Use Inheritance18 min
   4. Composition and Relationships Checkpoint25 min
6. 3.6Dunder Methods & Dataclasses4 lessons

   Integrate with Python's data model and use modern dataclasses.

   1. String Representation: __str__ vs __repr__15 min
   2. Equality and Hashing: __eq__ and __hash__18 min
   3. Container Dunders: __len__, __getitem__, and __iter__18 min
   4. Modern Dataclasses for Domain Models15 min
7. 3.7OOP Mini Projects3 lessons

   Three portfolio projects that combine classes, inheritance, abstract classes, dataclasses and custom exceptions.

   1. Build a Library Management System60 min
   2. Build a Bank Account System with Overdraft Rules60 min
   3. Build an Employee Payroll System with Abstract Classes60 min