Tools
Cheatsheets
Interview problems
Blog

Python example: dataclasses

Last modified: June 6, 2023

home
Python Examples

Result

Console output

FAQ

What are dataclasses in Python?

Dataclasses in Python are a way of creating classes which primarily store data and come with special methods, such as __init__ and __repr__, automatically added. They were introduced to provide a simpler way of creating data-centric classes.

What is the benefit of using dataclasses?

Dataclasses reduce the amount of boilerplate code required to create classes that are primarily used to store data. They automatically add special methods like __init__, __repr__, and __eq__, which can greatly reduce the amount of code needed for these common class components.

How are dataclasses different from regular classes?

The main difference between dataclasses and regular classes is that dataclasses automatically generate special methods such as __init__, __repr__, and __eq__ for you. Additionally, they provide a simple syntax to define attributes, which makes your code cleaner and more readable.

Can I change the default behavior of dataclasses?

Yes, you can change the default behavior of dataclasses by using different parameters in the @dataclass decorator, or by overriding the generated methods in your dataclass. For example, you can use the 'order' parameter in the @dataclass decorator to automatically generate comparison methods.

FAQContact UsChangelog