[Free] Object Oriented Programming &Amp; Solid Principles In Python
Master OOP & SOLID Principles in Python | Build foundation for LLD Interviews | Get Interview Ready with FAANG Engineers – Free Course
What you’ll learn
- Core OOP concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction
- Understanding and applying SOLID principles for better software design
- Writing reusable and modular code using best practices
- Real-world coding exercises to reinforce key concepts
Requirements
- Some programming experience – Prior experience with any programming language is helpful but not mandatory.
- A computer with Python installed – You need a working installation of Python 3.x and a code editor (VS Code, PyCharm, or Jupyter Notebook).
- Willingness to learn – This course is structured to help you understand Object-Oriented Programming from the ground up, so a logical mindset and curiosity to learn will be beneficial.
Description
Master Object-Oriented Programming & SOLID Principles in PythonThis course is designed to help you build a strong foundation in Object-Oriented Programming (OOP) using Python, along with mastering SOLID principles to write clean, maintainable, and scalable code. Whether you are a beginner or an experienced developer looking to refine your skills, this course will guide you through practical examples and real-world scenarios.
What You Will Learn:
-
Core OOP concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction
-
Understanding and applying SOLID principles for better software design
-
Writing reusable and modular code using best practices
-
Real-world coding exercises to reinforce key concepts
-
Debugging and refactoring techniques to improve code quality
-
How to structure Python applications following industry standards
Who Should Take This Course?
-
Beginners who want to learn Object-Oriented Programming with Python
-
Developers who want to write structured, flexible, and scalable code
-
Engineers preparing for coding interviews and system design discussions
-
Anyone looking to improve their understanding of software design principles
-
Programmers transitioning to Python from other languages
This course is structured with clear explanations, hands-on coding exercises, and industry-relevant examples. By the end, you will be able to design and develop Python applications that follow best practices and professional coding standards.
Author(s): Sweet Codey, Rohit Jain | SDE-2 @ Amazon, Shubham Chandak | Bloomberg Engineering, Suresh Gandhi | SDE-II @Microsoft, Ex-Amazon