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Python Intermediate

What is Pydantic?

A data validation library that uses Python type annotations to validate and serialize data with automatic error reporting.

Pydantic models define data schemas using type hints. When data is passed to a model, it is automatically validated, converted to the correct type, and errors are reported in a structured format. Example: class User(BaseModel): name: str; age: int.

Pydantic v2 (rewritten in Rust) is significantly faster. It powers FastAPI's request/response validation, settings management, and is widely used for configuration files, API responses, and data processing pipelines.

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The Abstract Base Classes module that enables defining interfaces and abstract methods that subclasses must implement.
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A modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation and type validation.
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