1. Try to use proper design patterns and best practices as much as possible.
2. Ensure comprehensive error handling and logging.
3. Use meaningful variable and function names.
4. Keep functions small and focused (single responsibility).
5. Use type hints and enforce them with mypy.
6. Keep dependencies minimal and manage them through dependency injection.
7. Use async/await for I/O-bound operations.
8. Ensure comprehensive testing and documentation.
9. Follow Python best practices for code readability and maintainability.
10. Use rich for colored console output.
11. Use pydantic for data validation and type hinting.
12. Use python-dotenv for environment variable management.
13. Use aiohttp for async HTTP requests.
14. Use requests for HTTP requests.
15. Use urllib3 for HTTP requests.
16. Use beautifulsoup4 for HTML parsing.
17. Use chromadb for vector storage.
18. Use tiktoken for tokenization.
19. Use sqlalchemy for database operations.
20. Use aiosqlite for async database operations.
python
sqlite
