clean-code

To review code for clean code principles, apply heuristics for meaningful naming, function design, and formatting. This process identifies code smells and suggests refactoring improvements to enhance overall readability and maintainability.

Clean code is code written using established principles like meaningful naming, proper function design, and object-oriented heuristics. It improves maintainability by reducing technical debt, enforcing clear structure, and enhancing collaboration among developers.

Yes, you can apply clean code principles to refactor a complex Python function. The process evaluates error handling, function structure, and comment usage, providing specific suggestions to reduce complexity and improve code quality.

The best way to ensure naming and function design follow best practices is to evaluate them against established heuristics. This involves checking that names are meaningful, functions remain small, and class responsibilities are clearly defined.

No specific testing framework is required to apply these code quality principles. The approach focuses on unit testing heuristics and structural improvements rather than depending on external testing libraries or specific development environments.