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FreeLLD Masterclass - Design Patterns | OOPS | Solid Principles
4.5(74)1k studentsALL LEVELSEnglish
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The course builds a foundation in object-oriented programming with Python, covering classes, objects, inheritance, polymorphism, encapsulation and abstraction. It then applies the SOLID principles to show how those ideas produce code that is easier to change.
Developers moving to Python from another language will find the object-oriented material familiar but with Python-specific idioms. The course is also useful for developers getting ready for coding interviews and system-design talks, since refactoring exercises mirror that kind of question. The listing is labelled for all levels, so it works as a refresher as well as an introduction.
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.
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