What are type annotations in Python libraries?

What are type annotations in Python libraries?

Type annotations in Python libraries are a way to indicate the expected data types of function arguments and return values, enhancing code readability and enabling better static type checking.

How do I use type annotations in my own Python library?

You can use type annotations by specifying the types in function definitions. For example, def add(a: int, b: int) -> int: indicates that both a and b should be integers and the function returns an integer.

Are there any tools to check type annotations?

Yes, tools like mypy can be used to check type annotations in your code, ensuring that the types are used correctly throughout your library.

Can type annotations improve code quality?

Absolutely! Type annotations can help catch errors early, improve documentation, and make your code easier to understand for others.