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Explore the power of data classes in Python through a practical, example-driven talk. Learn how to create robust, self-validating types by progressing from traditional approaches to modern solutions using @dataclass. Discover techniques for encapsulating data, ensuring object validity, and creating immutable instances. Follow along as the speaker demonstrates these concepts by building increasingly complex types, from a simple OneToTen class to a composite Person type with validated fields. Gain insights into best practices for data modeling, error checking, and leveraging Python's features to write more reliable and maintainable code.
