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docs/en/docs/advanced/dataclasses.md
!!! info Keep in mind that dataclasses can't do everything Pydantic models can do. So, you might still need to use Pydantic models. But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓 ## Dataclasses in `response_model` You can also use `dataclasses` in the `response_model` parameter: ```Python hl_lines="1 7-13 19"
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docs/en/docs/tutorial/path-params.md
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docs/en/docs/release-notes.md
* 📝 Add External Link: 10 Tips for adding SQLAlchemy to FastAPI. PR [#11036](https://github.com/tiangolo/fastapi/pull/11036) by [@Donnype](https://github.com/Donnype). * 📝 Add External Link: Tips on migrating from Flask to FastAPI and vice-versa. PR [#11029](https://github.com/tiangolo/fastapi/pull/11029) by [@jtemporal](https://github.com/jtemporal).
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docs/es/docs/tutorial/path-params.md
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docs/en/data/external_links.yml
- author: Jessica Temporal author_link: https://jtemporal.com/socials link: https://jtemporal.com/tips-on-migrating-from-flask-to-fastapi-and-vice-versa/ title: Tips on migrating from Flask to FastAPI and vice-versa - author: Ankit Anchlia author_link: https://linkedin.com/in/aanchlia21 link: https://hackernoon.com/explore-how-to-effectively-use-jwt-with-fastapi
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docs/en/docs/async.md
<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration"> You and your crush eat the burgers and have a nice time. ✨ <img src="/img/async/concurrent-burgers/concurrent-burgers-07.png" class="illustration"> !!! info
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docs/es/docs/tutorial/first-steps.md
* `app`: el objeto creado dentro de `main.py` con la línea `app = FastAPI()`. * `--reload`: hace que el servidor se reinicie cada vez que cambia el código. Úsalo únicamente para desarrollo. En el output, hay una línea que dice más o menos: ```hl_lines="4" INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` Esa línea muestra la URL dónde se está sirviendo tu app en tu maquina local. ### Revísalo
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docs/es/docs/async.md
Llega tu turno, haces tu pedido de 2 hamburguesas impresionantes para esa persona 😍 y para ti. <img src="https://fastapi.tiangolo.com/img/async/concurrent-burgers/concurrent-burgers-02.png" alt="illustration"> El cajero 💁 le dice algo al chico de la cocina 👨🍳 para que sepa que tiene que preparar tus hamburguesas 🍔 (a pesar de que actualmente está preparando las de los clientes anteriores).
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docs/en/docs/tutorial/body.md
With just that Python type declaration, **FastAPI** will: * Read the body of the request as JSON. * Convert the corresponding types (if needed). * Validate the data. * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data. * Give you the received data in the parameter `item`.
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