https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/Recent content in Request Bodies and Pydantic on DATATWEETSHugoenCopyright (c) 2025 DatatweetsSun, 28 Jun 2026 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-1-request-bodies-with-pydantic/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-1-request-bodies-with-pydantic/Accept data, not just serve it. Declare a Pydantic model, use it as a function parameter to receive a JSON request body as a typed object, and watch FastAPI validate every field before your code runs.https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-2-field-validation-and-constraints/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-2-field-validation-and-constraints/Tighten your models with constraints. Use Field for string-length and numeric-range rules, write custom checks with field_validator, and see the precise 422 errors each one produces.https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-3-nested-and-complex-models/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-3-nested-and-complex-models/Real data is nested. Use lists, models-within-models, and richer types like datetime and optionals, and let Pydantic validate the whole structure to any depth — with errors that pinpoint the offending field.https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-4-response-models/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-4-response-models/Your API’s output is a contract too. Use response_model to declare and filter what you send back — keeping internal fields out of responses — and adopt the clean separate-input-and-output-models pattern.https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-5-guided-project-validated-tasks-api/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/fastapi/request-bodies-and-pydantic/lesson-5-guided-project-validated-tasks-api/The second version of the course project: let clients create tasks with a validated request body and a shaped response. Combine input/output models, Field constraints, a custom validator, an in-memory store, and proper 404s into a real Tasks API.