What are the differences between type annotations and dynamic typing in Python 3.10?

What are the differences between type annotations and dynamic typing in Python 3.10?

In Python 3.10, type annotations provide a way to specify the expected data types of variables, while dynamic typing allows variables to change types at runtime. Type annotations help with code clarity and can improve error checking during development.

Can you give me an example of type annotations in Python?

Sure! Here's a simple example:

def greet(name: str) -> str:
    return f'Hello, {name}!'

In this function, name is annotated as a string, and the function is expected to return a string.

What are the benefits of using type annotations?

Type annotations can enhance code readability, help with static type checking, and improve IDE support by providing better autocompletion and error detection.

Are there any downsides to using type annotations?

One downside is that it can add verbosity to your code. Additionally, type annotations are optional in Python, so they may not be used consistently across a codebase.