<ul data-eligibleForWebStory="true"><li>Type hints in Python provide numerous benefits for developers in large and distributed teams.</li><li>Type hints are simple and readable, but real-world projects often require more complexity.</li><li>Type hints are crucial for a caching utility used for multiple data types and API responses with known fields of different types or optional fields.</li><li>They help in accepting any object with specific methods and restricting function inputs to known constants.</li><li>Type hints are useful for passing custom logic to utility functions, validation libraries, and documentation tools.</li><li>Advanced type hints make Python more maintainable, readable, and scalable, essential for data engineering, backend development, and large-scale APIs.</li><li>Using generics, protocols, literals, and unions in type hints improves correctness and enhances team collaboration.</li><li>Starting with basic type hints and gradually adopting advanced concepts, with the help of tooling, can make code more robust and understandable.</li></ul>

Advanced Python Type Hints for Scalable Codebases

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