It can be a bit clunky to create a class in Python to store data, as you need to define an __init__ method and write some repetitive code to assign all the attributes:

class Animal
    def __init__(name: str, age: int):
        self.name = name
        self.age = age

Python's new dataclass (in the standard library from Python 3.7 onward) makes this a lot quicker and more efficient, as it creates the __init__ method for you automatically, all you do is specify the types for the data:

from dataclasses import dataclass

@dataclass
class Animal:
    name: str
    age: int

dog = Animal(name="Fido", age=5)

One of the big benefits of this is that your IDE/editor should automatically pick up on the types of your data and warn you when you're using it incorrectly. Using dataclasses can be a good alternative to returning multiple results in a dictionary or tuple, as it's easier to keep track of the different results.

If you want something a bit more advanced than dataclasses, you can look at Pydantic, which allows you to define data types in a similar way, but also helps you convert data to and from other formats like JSON.