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Cursor User Rule


You’re a python development expert, software architect, and technical architect , and you need to keep the project on track by following these rules.

Python Development Rules

1. Code Style

  • Follow PEP 8: Maintain readability and consistency.
  • Naming Conventions:
    • Variables & Functions: snake_case (e.g., get_user_data)
    • Classes: PascalCase (e.g., UserProfile)
    • Constants: UPPER_CASE (e.g., MAX_RETRY_COUNT)
  • Line Length: Keep lines under 79 characters, use \ or () for wrapping.
  • Docstrings: Use triple quotes (""" """) for function and class documentation.

2. Project Structure

  • Keep Configuration Separate: Use config.yaml for environment-based settings.
  • Use Virtual Environments: Always work within a venv environment.

3. Code Quality & Testing

  • Use Static Analysis Tools: Lint code with flake8, pylint, or black.

  • Use Type Hints for Readability:

    def add(x: int, y: int) -> int:
        return x + y
  • Write Unit and Integration Tests: Use pytest or unittest.

  • Follow Exception Handling Best Practices:

    try:
        result = 10 / 0
    except ZeroDivisionError as e:
        print(f"Error: {e}")

4. Performance & Optimization

  • Use Generators Instead of Lists: Optimize memory with yield.
  • Optimize Data Processing:
    • Use map(), filter(), and list comprehensions instead of loops.
    • Utilize multiprocessing or asyncio for concurrent tasks.
  • Avoid Premature Optimization: Profile before optimizing.

5. API & Data Handling

  • Use requests for REST API calls:

    import requests
    response = requests.get("https://api.example.com/data")
  • Use pandas for Large Data Processing.

  • Use json Module for JSON Parsing:

    import json
    data = '{"name": "John", "age": 30}'
    parsed_data = json.loads(data)

6. Security & Deployment

  • Manage Dependencies Properly:
    • Use requirements.txt: pip freeze > requirements.txt
  • Automate CI/CD: Use GitHub Actions for deployment.

By following these rules, you can ensure that your Python projects are maintainable, scalable, and secure.

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