When people think about modeling data in Python, @dataclass is usually the first tool that comes to mind. And for good reason: it's concise, readable, and built into the standard library.
But Python offers several different ways to represent data, each designed for slightly different use cases.
In this article, we'll explore the most common approaches, compare their strengths and weaknesses, and discuss when you should choose one over another.
1. Regular Classes
Before Python 3.7, this was the standard way to model objects.
