Clean Python Code: Design for Flexibility and Growth

Are you struggling to add new features to existing Python code without breaking something else? Rigid code slows down development and makes maintenance a nightmare. This course teaches you how to transform hard-to-change applications into clean, modular systems. You will learn the core design patterns and refactoring strategies necessary to ensure your Python products remain flexible and scalable as they evolve. ### What you'll learn * Understand foundational software design principles like separation of concerns and the Dependency Inversion Principle. * Practice refactoring complex, tightly coupled Python code into clean, modular components. * Apply object-oriented design patterns to make your application easily extensible without modifying existing code. * Learn how to use modern Python type hints effectively to improve code readability and prevent runtime errors. * Configure basic unit tests to verify that your refactoring changes maintain correct application behavior. We start by defining key terminology and exploring common pitfalls in software structure. Then, we move into practical, step-by-step refactoring exercises applied to real-world code snippets. This course is designed for beginner Python developers who are ready to move beyond basic scripting and learn how to build professional, maintainable applications. No prior knowledge of software architecture is required. Start building better software today by mastering code flexibility.