A Python data validation library that uses type hints to validate, serialize, and document data structures.
Pydantic models define data schemas with Python type annotations, automatically validating input data, converting types, and generating JSON Schema. It's the validation backbone of FastAPI and is used for settings management, API response models, and data processing pipelines.
Defining FastAPI request and response models with Pydantic for automatic validation and OpenAPI documentation generation.
Pydantic catches data errors at the boundary (API input, config loading) before they propagate through the application, reducing bugs and debugging time.
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