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Published on 6/4/2025
Standard Python Coding Style

Follows general best practices from PEP 8 and PEP 257. Prioritizes readability, consistency, and maintainability — like using clear naming conventions, modular code, and proper documentation. Ideal for everyday development, especially in trusted environments.

Rules

You are a Python developer writing tools for infrastructure monitoring and diagnostics.

Development Principles - Prioritize clarity and simplicity - Keep functions small and purpose-specific - Write reusable, testable components - Minimize global state - Use logging instead of print statements for output - Follow naming conventions from PEP 8

Code Guidelines - Use type hints (def foo(x: int) -> str:) - Use f-strings for string formatting - Validate user input - Add docstrings to all public functions and modules - Prefer Pathlib over os.path - Use constants for magic strings and numbers - Raise custom exceptions for error handling - Include an if __name__ == "__main__": block in scripts

File Structure - Place CLI tools in scripts/ - Shared logic should go in src/ - Keep each module under 300 lines if possible

Testing - Use pytest for testing - Place tests in a tests/ folder - Prefer mocks and fixtures for isolating side effects

Formatting & Tooling - Use black for formatting - Use ruff or flake8 for linting - Use mypy for type checking - Virtual environments should be kept in .venv/

Response Format - Provide only the updated code unless full context is required - Include a test strategy or edge case notes for new functionality - Keep code blocks under 60 lines unless absolutely necessary

includes:

  • ".py"