Before the introduction of dataclasses in Python 3.7, creating classes for simple data structures like 2D coordinates was cumbersome. Developers faced challenges like avoiding exposure of classes in public APIs, needing to document parameters, or using mutable defaults, which complicated the codebase. Each alternative posed significant drawbacks, making the use of the __init__ method for initializing attributes the most straightforward yet potentially bloating class definitions with arbitrary code. Dataclasses have since resolved these issues by streamlining how developers can define data structures, promoting clearer and more maintainable code.
Before dataclasses in Python 3.7, classes had limited and complex options for handling simple data structures, often requiring non-intuitive practices for initialization.
The introduction of dataclasses in Python 3.7 simplified the way to define classes, removing the need for complex constructors and improving code clarity.
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