Intro to Pydantic, run-time type checking for your dataclasses
summary
Pydantic enforces runtime type checking for dataclasses and BaseModel classes so invalid inputs are rejected immediately and errors name the field and index that failed (example: ham rejected from a toppings tuple). It parses JSON back and forth and emits JSON Schema (Draft 7) for OpenAPI, supports custom root validators to encode business rules and a validate_arguments decorator for functions, plugs into FastAPI for automatic docs, and pairs with Hypothesis to generate tests.
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chapters (9)
- 0:00Intro
- 7:26runtime type checking
- 13:25JSON Schema
- 17:45validate arguments decorator
- 19:18pydantic frameworks
- 20:40automatic testing
- 21:44fast API
- 23:41conclusion
- 24:18outro
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