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10 Python anti-patterns you must avoid when writing clean code

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10 Python Anti-Patterns You Must Avoid When Writing Clean Code

Additional Tips 📖

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

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10 Python anti-patterns you must avoid when writing clean code

https://python.plainenglish.io/10-python-anti-patterns-you-must-avoid-when-writing-clean-code-ff3635ca1510


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