This exam prep course is designed to strengthen your Python Object-Oriented Programming (OOP) skills through a series of practical coding challenges. It focuses on providing learners with hands-on experience in applying OOP principles, preparing them for exams, technical interviews, and real-world problem-solving.

Throughout this course, you will tackle 100 carefully crafted Python coding challenges, each aimed at reinforcing a specific OOP concept while demonstrating practical applications. Every challenge includes working code solutions accompanied by concise explanations, so you can understand not only how the code works, but also why it demonstrates a particular OOP principle.

The course covers the core pillars of OOP, including:

• Encapsulation – Protect data using private attributes and controlled access through getter and setter methods.

• Abstraction – Design clean and maintainable code using abstract classes and methods.

• Inheritance – Implement class hierarchies, reuse code efficiently, and override methods where appropriate.

• Polymorphism – Apply flexible behavior through method overriding, operator overloading, and dynamic binding.

This exam prep is not an official certification course, but it is a highly effective preparation tool. It emphasizes learning by doing, helping learners internalize concepts through practical exercises rather than theory alone. By working through these challenges, you will develop confidence in your OOP skills, improve problem-solving abilities, and gain the structured practice needed to succeed in exams and professional coding tasks.

By the end of this course, you will have gained solid hands-on experience in Python OOP principles, enabling you to approach challenges with clarity, efficiency, and a deeper understanding of object-oriented design patterns.

Who this course is for:

• Python learners exam prep
• Students coding practice