What are the best practices for refactoring Python code?
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What are the best practices for refactoring Python code?
Refactoring Python code involves improving its structure without changing its behavior. Key practices include: 1. Write tests before refactoring. 2. Keep functions small and focused. 3. Use meaningful names for variables and functions. 4. Eliminate duplicate code. 5. Apply design patterns where appropriate.
Can you explain why writing tests before refactoring is important?
Writing tests before refactoring ensures that you have a safety net. It helps you verify that the code's functionality remains intact after changes, making it easier to catch any errors introduced during the refactoring process.
What are some common design patterns I should consider?
Some common design patterns in Python include Singleton, Factory, Observer, and Strategy. Each serves a different purpose and can help improve code organization and reusability.
How do I identify duplicate code in my project?
You can identify duplicate code by using tools like 'pylint' or 'flake8' that analyze your codebase for redundancy. Additionally, manual code reviews can help spot similar code blocks that can be refactored into functions.
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