Master Classes, Objects, and OOP Principles to Write Clean, Reusable Python Code
Description
This course will teach you Object-Oriented Programming (OOP) in Python step by step, starting from the basics of classes and objects, all the way to advanced concepts like inheritance, polymorphism, and design principles.
Whether you’re a beginner Python programmer, a computer science student, or a developer preparing for coding interviews, this course will give you the tools to write clean, modular, and reusable code using OOP.
What you’ll learn:
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Understand the core principles of Object-Oriented Programming (OOP): classes, objects, inheritance, polymorphism, and encapsulation.
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Create and use custom Python classes and objects with attributes and methods.
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Explore advanced OOP techniques: method overriding, operator overloading, static methods, class methods, and abstract classes.
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Apply OOP concepts in real-world projects and coding exercises.
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Write professional, maintainable Python code by following best practices and design principles.
Why learn OOP in Python?
Most real-world software applications are built using Object-Oriented Programming. By mastering OOP, you’ll not only improve your coding skills but also become better prepared for technical interviews, internships, and professional development work.
This course is packed with hands-on examples, coding challenges, and projects, ensuring you don’t just understand theory but also gain the confidence to apply OOP in practice.
Who this course is for:
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Beginner and intermediate Python developers who want to strengthen their skills.
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Computer science students looking to master OOP for exams or projects.
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Aspiring developers preparing for coding interviews.
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Professionals from other programming backgrounds who want to learn Python the OOP way.
By the end of this course, you’ll be able to confidently use Object-Oriented Programming in Python to design and build scalable, real-world applications.
Enroll today, and let’s start your journey to mastering OOP in Python!
| Total Students | 321 |
|---|---|
| Duration | 1.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 10 |
| Number of quizzes | 1 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Arnab Das |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1.5 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Best Practices
- Clear Explanation
Course Review Summary
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What learners praise
- Clear Explanation
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
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