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docs/ru/docs/history-design-future.md
И все это, чтобы все пользователи могли получать наилучший опыт разработки. ## Зависимости Протестировав несколько вариантов, я решил, что в качестве основы буду использовать <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a> и его преимущества.
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docs/de/docs/history-design-future.md
Alles auf eine Weise, die allen Entwicklern das beste Entwicklungserlebnis bot. ## Anforderungen Nachdem ich mehrere Alternativen getestet hatte, entschied ich, dass ich <a href="https://pydantic-docs.helpmanual.io/" class="external-link" target="_blank">**Pydantic**</a> wegen seiner Vorteile verwenden würde.
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docs/en/docs/reference/openapi/models.md
# OpenAPI `models` OpenAPI Pydantic models used to generate and validate the generated OpenAPI.
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docs_src/body/tutorial003_py310.py
from fastapi import FastAPI from pydantic import BaseModel class Item(BaseModel): name: str description: str | None = None price: float tax: float | None = None app = FastAPI() @app.put("/items/{item_id}") async def update_item(item_id: int, item: Item):
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tests/test_tutorial/test_response_model/test_tutorial003_01_py310.py
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tests/test_tutorial/test_dependencies/test_tutorial001.py
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tests/test_tutorial/test_response_model/test_tutorial005_py310.py
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docs_src/settings/app03_an/config_pv1.py
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docs/en/docs/tutorial/path-params.md
<img src="/img/tutorial/path-params/image02.png"> The same way, there are many compatible tools. Including code generation tools for many languages. ## Pydantic All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands.
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docs/pt/docs/tutorial/handling-errors.md
/// `RequestValidationError` é uma subclasse do <a href="https://docs.pydantic.dev/latest/#error-handling" class="external-link" target="_blank">`ValidationError`</a> existente no Pydantic. **FastAPI** faz uso dele para que você veja o erro no seu log, caso você utilize um modelo de Pydantic em `response_model`, e seus dados tenham erro.
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