When it comes to defining data structures in Python, developers have two primary options: regular classes and dataclasses. Understanding the differences between these approaches can help you choose the best solution for a particular task. Regular classes offer complete control over method definitions and class behavior, making them suitable for complex and customized needs. On the other hand, dataclasses simplify the creation of classes used primarily for data storage by automatically generating common methods.

While regular classes provide flexibility and customization options, they also require more effort to set up and maintain. Dataclasses, on the other hand, are ideal for straightforward data management tasks, reducing boilerplate code and improving code readability.

Ultimately, the choice between regular classes and dataclasses depends on your specific needs and goals. By understanding the strengths and limitations of each approach, you can make informed decisions that optimize your coding practices and improve code maintainability.

Source: https://dev.to/conradylx/understanding-the-differences-between-regular-classes-and-dataclasses-in-python-2ja8