Modern Python Design: Composition, Inheritance, and Type Hinting

Are you ready to move past writing simple scripts and start building scalable, professional Python applications? This course focuses on the crucial architectural decisions that make code clean, readable, and easy to maintain. By the end of this course, you will be able to design complex Python programs using established object-oriented principles and leverage modern language features to ensure stability and type safety. What you'll learn: * Understand the core differences between composition and inheritance for effective object-oriented design. * Apply static type checking using modern Python type hints to catch errors early and improve code clarity. * Master the structure of Python packages and modules for organizing larger, more maintainable codebases. * Learn how to manage project dependencies and isolate environments using modern tooling concepts. * Practice foundational patterns used in data analysis and engineering workflows to handle and process data efficiently. We begin by defining key object-oriented concepts and design patterns, then move into practical implementation using type hints and module structuring. The final sections focus on applying these skills to real-world application contexts. This course is designed for Python beginners who are comfortable with basic syntax and are ready to learn how to structure professional-grade code. No prior knowledge of object-oriented programming or advanced concepts is required. Start building better Python applications today.