[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 Python

This 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
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