10 Python Anti-Patterns You Must Avoid When Writing Clean Code
- Avoid Reinventing the Wheel: Utilize existing libraries and solutions to prevent duplicating common functionalities.
- Embrace Formatted Strings: Prefer f-strings for clear and concise string formatting,
print(f“{variable}")
.
- Use Meaningful Naming Conventions: Opt for descriptive names and follow Python naming conventions
job_list
.
- Avoid Returning Different Types: Ensure consistent return types from functions to improve predictability.
- Be Mindful of Imports: Explicitly import only required entities to reduce naming conflicts and enhance code clarity, don’t use
import *
.
- Use static typing: Leverage the “Type Hints" to prevent potential errors.