The article provides an overview of Python data classes and named tuples, two data structures used to store fields efficiently. Data classes, introduced in Python 3.7, offer a convenient way to define classes with minimal boilerplate, providing built-in methods for string representation and equality comparison. Named tuples, available since Python 2.6, offer immutability and dictionary-like readability while being more memory efficient. The article compares these two in terms of immutability, default value setting, instance comparison, type hints, and memory footprint, highlighting that data classes are mutable by default and support complex default value setups, whereas named tuples are immutable and require more manual handling of defaults. The piece concludes by suggesting third-party packages like Pydantic and attrs for more automated data handling and recommends Earthly for build automation, enhancing coding efficiency in Python projects.