How do I use type annotation in Python?
Type annotations in Python allow you to specify the expected data types of variables, function parameters, and return values. For example, you can define a function like this:
def add_numbers(a: int, b: int) -> int:
return a + b
What are the benefits of using type annotations?
Type annotations help with code readability, enable better tooling support, and can catch type-related errors during development.
Can I use type annotations with lists and dictionaries?
Yes, you can use type annotations with collections. For example:
from typing import List, Dict
def process_items(items: List[str]) -> Dict[str, int]:
return {item: len(item) for item in items}
Are type annotations mandatory in Python?
No, type annotations are optional in Python. They are mainly used for documentation and type checking purposes.
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