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docs/de/docs/advanced/events.md
## Anwendungsfall Beginnen wir mit einem Beispiel-**Anwendungsfall** und schauen uns dann an, wie wir ihn mit dieser Methode implementieren können.
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docs/en/docs/how-to/general.md
# General - How To - Recipes Here are several pointers to other places in the docs, for general or frequent questions. ## Filter Data - Security To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md){.internal-link target=_blank}. ## Documentation Tags - OpenAPI
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docs/de/docs/how-to/custom-docs-ui-assets.md
Ihre neue Dateistruktur könnte so aussehen: ``` . ├── app │ ├── __init__.py │ ├── main.py └── static/ ``` ### Die Dateien herunterladen Laden Sie die für die Dokumentation benötigten statischen Dateien herunter und legen Sie diese im Verzeichnis `static/` ab.
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docs/en/docs/deployment/concepts.md
### We Make Mistakes We, as humans, make **mistakes**, all the time. Software almost *always* has **bugs** hidden in different places. 🐛 And we as developers keep improving the code as we find those bugs and as we implement new features (possibly adding new bugs too 😅). ### Small Errors Automatically Handled
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docs/de/docs/advanced/behind-a-proxy.md
<a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Laden Sie Traefik herunter</a>, es ist eine einzelne Binärdatei, Sie können die komprimierte Datei extrahieren und sie direkt vom Terminal aus ausführen. Dann erstellen Sie eine Datei `traefik.toml` mit: ```TOML hl_lines="3"
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docs/en/docs/tutorial/bigger-applications.md
We are going to include this `APIRouter` in the main `FastAPI` app, but first, let's check the dependencies and another `APIRouter`. ## Dependencies We see that we are going to need some dependencies used in several places of the application. So we put them in their own `dependencies` module (`app/dependencies.py`). We will now use a simple dependency to read a custom `X-Token` header: === "Python 3.9+"
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docs/es/docs/index.md
### Resumen En resumen, declaras los tipos de parámetros, body, etc. **una vez** como parámetros de la función. Lo haces con tipos modernos estándar de Python. No tienes que aprender una sintaxis nueva, los métodos o clases de una library específica, etc. Solo **Python 3.8+** estándar. Por ejemplo, para un `int`: ```Python item_id: int ``` o para un modelo más complejo de `Item`: ```Python
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docs/en/docs/release-notes.md
* `alias_priority` * `validation_alias` * `serialization_alias` * `discriminator` * `strict` * `multiple_of` * `allow_inf_nan` * `max_digits` * `decimal_places` * `json_schema_extra` ...you can read about them in the Pydantic docs. * The parameter `regex` has been deprecated and replaced by `pattern`.
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docs/es/docs/python-types.md
* La variable `prices` es un `dict`: * Los keys de este `dict` son de tipo `str` (Digamos que son el nombre de cada ítem). * Los valores de este `dict` son de tipo `float` (Digamos que son el precio de cada ítem). ### Clases como tipos También puedes declarar una clase como el tipo de una variable. Digamos que tienes una clase `Person`con un nombre: ```Python hl_lines="1-3" {!../../../docs_src/python_types/tutorial009.py!}
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docs/en/docs/advanced/additional-responses.md
## Combining information You can also combine response information from multiple places, including the `response_model`, `status_code`, and `responses` parameters.
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