Python type hints (also called type annotations) allow you to indicate the expected data types of variables, function parameters, and return values in your code. Introduced in Python 3.5 with PEP 484, they provide a way to make your code more self-documenting and enable static type checking.

Key Benefits

• Code readability: Type hints serve as documentation, making it easier to understand what types a function expects and returns.
• IDE support: They enable better autocompletion, code navigation, and error detection in IDEs like PyCharm, VS Code, etc.
• Static type checking: Tools like mypy, pyright, or Pylance can analyze your code without running it to catch type-related bugs.

It would be nice to implement that to driver ... ensuring compatibility with sqlalchemy DBAPIConnection, DBAPICursor ...