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docs/es/docs/features.md
Esto también significa que en muchos casos puedes pasar el mismo objeto que obtuviste de un request **directamente a la base de datos**, dado que todo es validado automáticamente. Lo mismo aplica para el sentido contrario. En muchos casos puedes pasar el objeto que obtienes de la base de datos **directamente al cliente**.
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docs/es/docs/index.md
* Muchas características extra (gracias a Starlette) como: * **WebSockets** * **GraphQL** * pruebas extremadamente fáciles con HTTPX y `pytest` * **CORS** * **Cookie Sessions** * ...y mucho más. ## Rendimiento
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docs/es/docs/async.md
Muchos, muchos usuarios, pero el servidor está esperando 🕙 el envío de las peticiones ya que su conexión no es buena. Y luego esperando 🕙 nuevamente a que las respuestas retornen. Esta "espera" 🕙 se mide en microsegundos, pero aun así, sumando todo, al final es mucha espera. Es por eso que tiene mucho sentido usar código asíncrono ⏸🔀⏯ para las API web.
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docs/es/docs/tutorial/first-steps.md
{!../../../docs_src/first_steps/tutorial001.py!} ``` Puedes devolver `dict`, `list`, valores singulares como un `str`, `int`, etc. También puedes devolver modelos de Pydantic (ya verás más sobre esto más adelante). Hay muchos objetos y modelos que pueden ser convertidos automáticamente a JSON (incluyendo ORMs, etc.). Intenta usar tus favoritos, es muy probable que ya tengan soporte. ## Repaso * Importa `FastAPI`.
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docs/en/docs/contributing.md
That will create a directory `./env/` with the Python binaries, and then you will be able to install packages for that local environment. ### Activate the environment Activate the new environment with: === "Linux, macOS" <div class="termy"> ```console $ source ./env/bin/activate ``` </div> === "Windows PowerShell" <div class="termy"> ```console
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docs/pt/docs/contributing.md
<div class="termy"> ```console $ bash scripts/format-imports.sh ``` </div> Como ele roda um comando após o outro, modificando e revertendo muitos arquivos, ele demora um pouco para concluir, então pode ser um pouco mais fácil utilizar `scripts/format.sh` frequentemente e `scripts/format-imports.sh` somente após "commitar uma branch". ## Documentação
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docs/pt/docs/async.md
--- Essa poderia ser a história paralela equivalente aos hambúrgueres. Para um exemplo "mais real", imagine um banco. Até recentemente, a maioria dos bancos tinha muitos caixas e uma grande fila. Todos os caixas fazendo todo o trabalho, um cliente após o outro. E você tinha que esperar na fila por um longo tempo ou poderia perder a vez.
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docs/en/docs/deployment/concepts.md
Your server(s) is (are) a **resource**, you can consume or **utilize**, with your programs, the computation time on the CPUs, and the RAM memory available. How much of the system resources do you want to be consuming/utilizing? It might be easy to think "not much", but in reality, you will probably want to consume **as much as possible without crashing**.
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docs/en/docs/tutorial/security/oauth2-jwt.md
Many packages that simplify it a lot have to make many compromises with the data model, database, and available features. And some of these packages that simplify things too much actually have security flaws underneath. --- **FastAPI** doesn't make any compromise with any database, data model or tool. It gives you all the flexibility to choose the ones that fit your project the best.
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tests/test_tuples.py
assert response.status_code == 200, response.text assert response.json() == data def test_model_with_tuple_invalid(): data = {"items": [["foo", "bar"], ["baz", "whatelse", "too", "much"]]} response = client.post("/model-with-tuple/", json=data) assert response.status_code == 422, response.text data = {"items": [["foo", "bar"], ["baz"]]} response = client.post("/model-with-tuple/", json=data)
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