OOP & SOLID Principles in Python (Low Level Design Part-I)

🚀 Course Title: Object Oriented Programming & SOLID Principles in Python

🎓 Course Headline: Master OOP & SOLID Principles in Python | Build Foundation for LLD Interviews | Get Interview Ready with FAANG Engineers

🎤 Course Instructor: Sweet Codeycourse

🌍 Course Description: With the ever-evolving world of software development, understanding Object-Oriented Programming (OOP) and SOLID principles is crucial for creating high-quality, maintainable, and scalable Python applications. Whether you're at the beginning of your programming journey or an experienced coder aiming to elevate your skills, this course is tailored to meet you where you are.

🛠️ What You Will Learn:

• *Core OOP Concepts:

  • Classes and Objects
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction

• SOLID Principles Application:

  • Single Responsibility Principle (SRP)
  • Open/Closed Principle (OCP)
  • Liskov Substitution Principle (LSP)
  • Interface Segregation Principle (ISP)
  • Dependency Inversion Principle (DIP)

• Best Practices for Writing:

  • Reusable and Modular Code
  • Clean and Readable Code
  • Debugging and Refactoring Techniques

• Real-World Coding Exercises:

  • To Solidify Your Understanding
  • With Industry-Relevant Scenarios

• Structuring Python Applications:

  • Following Industry Standards and Best Practices

👥 Who Should Take This Course?

• Beginners: Aspiring programmers eager to dive into the world of OOP with Python.
• Developers: Professionals who want to refine their approach to software design and code maintainability.
• Engineering Candidates: Individuals preparing for technical interviews, especially at FAANG companies.
• Software Architects and Designers: Anyone looking to enhance their knowledge of sound software design principles.
• Programmers Transitioning: Coders switching to Python from other programming languages.

🔍 Why This Course? This comprehensive course is designed with clear, concise explanations, hands-on coding exercises, and examples that reflect real-world applications. By the conclusion of this program, you will be equipped with the knowledge to design and develop robust Python programs adhering to best practices and professional standards.

📚 Dive into the course now and transform your code from good to great! 🚀