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OOP in Python: Build Real Projects & Master Classes
Rating: 4.0 out of 5(9 ratings)
3,024 students

OOP in Python: Build Real Projects & Master Classes

Master Python OOP: Classes, Inheritance, and Real-World Projects
Last updated 1/2026
English

What you'll learn

  • The Object Oriented Programming Python course will teach you how to write code that focuses on creating objects and classes,
  • You'll learn how to create Classes, define Attributes and Methods
  • You'll learn how to use and apply Inheritance, single and multiple inheritance
  • How to create and use a @classmethod as well as @staticmethod within your code
  • How to use Encapsulation to restrict access to program properties
  • Polymorphism ,Abstraction and Composition concepts are introduced and taught to master Object Oriented Programming

Course content

12 sections51 lectures3h 47m total length
  • Introduction To Object Oriented Programming2:35

    Explore object oriented programming in Python, comparing procedural and object approaches. Learn how classes create objects with attributes and methods, uniting data and code for large, complex projects.

  • Class & Object Creation1:59

    Use the class keyword to define a python class with an initial uppercase name, and include pass when empty; instantiate objects by calling the class and using lowercase names.

  • __init__ Constructor & self Parameter2:34

    Explain how to define a class with an __init__ constructor and its self parameter, show the init method, and demonstrate implicit invocation of the constructor when creating an object.

  • Instance Variable4:29

    Create and access instance variables in a class using self and dot notation. Initialize them in the constructor and extend objects with new properties.

  • Class Variable2:16

    Learn how to define and access class variables in Python, distinguishing them from instance variables, using a class name to access the variable and print its value.

  • Method3:38
  • getattr & setattr Functions4:10

    Explore Python's getattr and setattr functions within a class example, creating and modifying instance variables like name and number to demonstrate dynamic attribute access and assignment.

  • __class__ attribute3:23

    Explore how the Python class attribute __class__ reveals the exact class of a class, its objects, and methods, illustrated with an info class, its instances, and a get value method.

  • __dict__ Property6:23

    Learn how to use __dict__ on objects and classes to inspect attributes, distinguishing class variables and instance variables, as shown with an example class and its dict output.

  • Object is Independent1:55
  • __str__ Method4:04

    Implement a class with first and last attributes and a __str__ method that returns 'first last' using self, then demonstrate printing the object to display the name.

  • __name__ Property2:20

    Learn how the __name__ property exposes the class name and why it does not exist on instances, then use type(obj).__name__ to reveal the object's class.

  • Class as an Object2:25

    Access class methods and instance variables without creating an object, then use a class object to call info and print the item, illustrating data class usage.

Requirements

  • English Language
  • Beginner Level Of Python

Description

Ready to write clean, efficient, and reusable Python code?
This course teaches you how to master Object-Oriented Programming (OOP) in Python so you can build professional, maintainable software applications. Through hands-on exercises and real-world projects, you’ll learn to structure your code around objects instead of just functions — making your programs clearer, more efficient, and easier to maintain.


Why This Course Is Different:

  • Focuses on practical application, not just theory

  • Hands-on projects that reinforce every concept

  • Learn best practices, design patterns, and debugging techniques

  • Step-by-step explanations designed for beginners and intermediate Python users


Who This Course Is For:

  • Python learners ready to move beyond basics

  • Students who want to write professional-quality, maintainable code

  • Hobbyists or developers looking to understand OOP deeply

  • Anyone preparing for technical interviews or real-world projects


What You’ll Learn:

  • Master core OOP concepts: Classes, Inheritance, Composition, Encapsulation, Polymorphism, Abstraction

  • Use inheritance to extend and reuse code efficiently

  • Apply composition to create complex, maintainable objects

  • Implement encapsulation to protect and organize your data

  • Work with design patterns for cleaner, scalable code

  • Debug and optimize Python OOP code like a pro

  • Build real-world projects and exercises using OOP principles


Requirements:

  • Basic knowledge of Python fundamentals

  • A computer with Python installed

  • Willingness to practice through exercises and projects


- Start Building Professional Python Code Today

Enroll now and level up your Python skills! Master OOP, create reusable code, and build projects that demonstrate your programming expertise.

Who this course is for:

  • For Everyone Who Is Interesting In Learning Python Object Oriented Programming ( OOP )