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The basics of Object Oriented Programming in Python
Master the fundamentals of Object-Oriented Programming (OOP) in Python through this comprehensive course. You'll learn the core concepts of classes, objects, inheritance, encapsulation, and polymorphism while building practical applications. In this cour
4 weeks
10 lessons
Intermediate
Certificate Included
$5.00
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Certificate of Completion
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Course Overview
By the end of this course, you'll have the skills to design robust, object-oriented Python applications and a solid foundation for advanced Python development. Perfect for beginners with basic Python knowledge who want to level up their programming skills.
Module 1: Introduction to OOP Concepts
- Understanding procedural vs. object-oriented programming
- The four pillars of OOP: Encapsulation, Inheritance, Polymorphism, Abstraction
- Why Python is an object-oriented language
- Benefits of using OOP in real-world applications
Module 2: Classes and Objects
- Creating your first Python class
- Class attributes vs. instance attributes
- Constructors and the __init__ method
- Instance methods and the self parameter
- Creating and using objects from classes
- Practical exercises: Building a simple banking system
Module 3: Encapsulation and Data Hiding
- Private vs. public attributes
- Getters and setters in Python
- Property decorators
- Name mangling with double underscores
- Best practices for encapsulation
- Project: Creating a secure user profile class
Module 4: Inheritance and Code Reuse
- Single inheritance in Python
- Method overriding and extending parent functionality
- The super() function
- Multiple inheritance and method resolution order (MRO)
- Abstract base classes and interfaces
- Hands-on project: Building a hierarchical inventory system
Module 5: Polymorphism and Duck Typing
- Method polymorphism in Python
- Operator overloading with special methods
- Duck typing and dynamic behavior
- Leveraging polymorphism for flexible code
- Practical application: Creating a shape calculator system
Module 6: Advanced OOP Concepts
- Class methods and static methods
- Magic methods (dunder methods)
- Composition vs. inheritance
- Mixins and multiple inheritance patterns
- Design patterns in Python (Singleton, Factory, Observer)
- Final project: Designing a complete program with OOP principles
Module 7: Best Practices and Real-world Applications
- Clean code principles in OOP
- Testing object-oriented code
- Common pitfalls and how to avoid them
- Performance considerations
- OOP in popular Python frameworks (Django, Flask)
- Capstone project: Building a mini-application using all OOP concepts
Course Curriculum
Introduction to OOP Concepts
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