Object-Oriented Programming in Python Course Syllabus

Overview: This practice-driven course guides beginners through the core concepts of object-oriented programming in Python, from foundational class design to advanced patterns and testing. Over 8 modules, learners spend approximately 56 hours mastering techniques essential for building scalable, maintainable applications. Each module combines theory with hands-on coding exercises, culminating in a capstone project that integrates all concepts. Lifetime access ensures you can learn at your own pace.

Module 1: OOP Fundamentals in Python

Estimated time: 8 hours

• Defining classes and creating objects
• Using __init__ for constructors
• Instance vs. class attributes
• Validating properties in a BankAccount class

Module 2: Inheritance & Polymorphism

Estimated time: 8 hours

• Implementing single and multiple inheritance
• Method overriding and super() usage
• Polymorphic behavior in practice
• Building a Vehicle → Car, Truck hierarchy

Module 3: Encapsulation & Magic Methods

Estimated time: 8 hours

• Private and protected attributes
• Using @property for getters/setters
• Implementing __str__, __eq__, and other special methods
• Building a Vector class with operator support

Module 4: Composition & Aggregation

Estimated time: 8 hours

• Modeling 'has-a' relationships
• Delegating behavior through composition
• Building a Library class with Book objects
• Implementing search and checkout operations

Module 5: Design Patterns in Python

Estimated time: 8 hours

• Implementing the Factory pattern
• Applying the Singleton pattern in a logging system
• Using the Strategy pattern for payment processing
• Observer pattern fundamentals

Module 6: Abstract Base Classes & Interfaces

Estimated time: 8 hours

• Using the abc module
• Defining abstract methods
• Ensuring interface compliance
• Implementing CSVExporter and JSONExporter

Module 7: Testing & Best Practices

Estimated time: 8 hours

• Writing unit tests for OOP code
• Using mocking and test fixtures
• Applying SOLID principles
• Enforcing single-responsibility in design

Module 8: Capstone Project

Estimated time: 8 hours

• Design an inventory management system
• Implement products, orders, and user roles
• Apply OOP concepts and design patterns

Prerequisites

• Familiarity with basic Python syntax
• Understanding of variables, loops, and functions
• Some exposure to Python classes is helpful but not required

What You'll Be Able to Do After

• Design and implement robust Python classes
• Apply inheritance, polymorphism, and encapsulation effectively
• Use composition and design patterns in real projects
• Write unit tests for object-oriented code
• Build maintainable, scalable applications using best practices