
Explore hands-on Python object oriented programming, starting with classes and objects, constructors, attributes, and methods, then destructor, access modifiers, getters and setters, and inheritance, with embedded module projects.
Learn to enhance a Python class by making __init__ accept parameters with defaults, enforce parameter order, and create unique objects with model year, color, moon roof, and engine status.
Define a main method and print hello from it; use the __name__ == '__main__' guard to run the main function when the script is executed, not when imported.
Explore calling methods on objects in Python by creating calc objects with two numbers, using total and diff methods to sum and subtract, and printing results in a main function.
Import a custom Python module created in a prior lesson, use its functions to perform calculations, test by running it directly, and import a class from another module.
Explore how the destructor, a special Python method, runs when deleting objects to perform housekeeping and print object attributes such as make and model.
Explore how public access modifiers expose class members by default and access the Employee class's variables and methods, including monthly gross salary and annual bonus.
Explore inheritance in object oriented programming by deriving a full time management employee from an employee class, using super for initialization and calculating monthly salary and bonuses.
Explore object oriented design by building an employee hierarchy with inheritance, including hourly, salaried, contractor, and sales roles, and implement a payroll processor, annual bonuses, and commissions.
Explore inheritance in Python object oriented programming by comparing parent and child classes, fixing initialization errors, and examining one-parent and multiple-inheritance patterns through a payroll example.
Explore abstract classes and abstract methods in Python using the ABC module, preventing object creation of a base class like employee and enforcing method implementation.
Learn to enforce type safety by using is instance checks to filter objects before payroll processing, preventing sneaky employee types from being processed for bonuses.
Explore how child classes derive from a parent in a simple Python example, including multiple inheritance, and see how the method resolution order determines which method runs first.
Explore multiple inheritance in Python, examining how method resolution order (mro) determines which parent methods run for a given child class, with practical examples and outputs.
Continue exploring polymorphism by building an abstract animal class and concrete dog, cat, and snake subclasses, implementing abstract methods and printing animal sounds to demonstrate runtime behavior.
Write Python Code That Employers Actually Want to See
Many Python learners can write scripts — but struggle when projects grow, requirements change, or multiple developers touch the same codebase.
That’s where Object-Oriented Programming (OOP) becomes essential.
This course teaches you how professionals actually use OOP in Python to write clean, maintainable, and scalable code — the kind of code expected in real jobs, production systems, and collaborative teams.
By the end of this course, you will be able to write Python code that looks and feels professional, not beginner-level.
Design clean, scalable Python classes that are easy to maintain and extend
Apply encapsulation correctly to protect data and reduce bugs
Use getters, setters, and properties the Pythonic way (not Java-style mistakes)
Choose inheritance vs composition like experienced developers do
Implement polymorphism to eliminate fragile if/else logic
Understand and apply Method Resolution Order (MRO) with confidence
Refactor messy Python code into clean, readable, job‑ready designs
Build real-world mini projects that reflect professional codebases
What Makes This Course Different
Clean-code focused
You won’t just learn what OOP features exist — you’ll learn when to use them and when NOT to.
Real-world design thinking
You’ll understand why professionals prefer composition over inheritance, how to design flexible systems, and how to avoid common beginner mistakes.
Hands-on and practical
Every major concept is reinforced with working code and mini projects, not theory-heavy lectures.
Job-ready mindset
You’ll learn how OOP shows up in real Python applications, not textbook examples.
What You’ll Build & Practice
Well-structured Python classes with clear responsibilities
Safe data access using encapsulation and properties
Flexible designs using inheritance, abstraction, and polymorphism
Maintainable object relationships using composition
Refactored code that reads cleanly and scales confidently
You’ll also have access to a browser-based Python environment, so you can practice immediately without setup friction.
Who This Course Is For
Python learners who already know the basics
Developers who want to write cleaner, more professional code
Students preparing for real projects, internships, or junior roles
Anyone confused by OOP and tired of copy‑pasting patterns they don’t understand
If you’re ready to move beyond beginner Python scripts
If you want to understand why professional code is written the way it is
If you want to feel confident reading and writing real Python codebases
Enroll now and start writing job‑ready Python code today!