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docs/en/docs/advanced/dataclasses.md
7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses. Again, you can combine `dataclasses` with standard type annotations. 8. Notice that this *path operation function* uses regular `def` instead of `async def`. As always, in FastAPI you can combine `def` and `async def` as needed.
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.github/workflows/test.yml
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docs/en/docs/alternatives.md
It is the recommended server for Starlette and **FastAPI**. !!! check "**FastAPI** recommends it as" The main web server to run **FastAPI** applications. You can combine it with Gunicorn, to have an asynchronous multi-process server. Check more details in the [Deployment](deployment/index.md){.internal-link target=_blank} section. ## Benchmarks and speed
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docs/fr/docs/advanced/additional-responses.md
``` Tout sera combiné et inclus dans votre OpenAPI, et affiché dans la documentation de l'API : <img src="/img/tutorial/additional-responses/image01.png"> ## Combinez les réponses prédéfinies et les réponses personnalisées
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docs/en/docs/tutorial/bigger-applications.md
### Import `FastAPI` You import and create a `FastAPI` class as normally. And we can even declare [global dependencies](dependencies/global-dependencies.md){.internal-link target=_blank} that will be combined with the dependencies for each `APIRouter`: ```Python hl_lines="1 3 7" title="app/main.py" {!../../../docs_src/bigger_applications/app/main.py!} ``` ### Import the `APIRouter`
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docs/en/docs/release-notes.md
* These `dependencies` are run before the normal parameter dependencies. And normal dependencies are run too. They can be combined. * Dependencies declared in a router are executed first, then the ones defined in *path operation decorators*, and then the ones declared in normal parameters. They are all combined and executed.
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docs/en/docs/deployment/docker.md
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc. By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.
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docs/en/docs/features.md
You will get completion in code you might even consider impossible before. As for example, the `price` key inside a JSON body (that could have been nested) that comes from a request. No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`. ### Short
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docs/en/docs/advanced/custom-response.md
In this case, the `status_code` used will be the default one for the `RedirectResponse`, which is `307`. --- You can also use the `status_code` parameter combined with the `response_class` parameter: ```Python hl_lines="2 7 9" {!../../../docs_src/custom_response/tutorial006c.py!} ``` ### `StreamingResponse`
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docs/en/docs/async.md
return burgers ``` With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" ⏸ the execution of that function and go do something else 🔀 before coming back. When you want to call an `async def` function, you have to "await" it. So, this won't work: ```Python # This won't work, because get_burgers was defined with: async def burgers = get_burgers(2) ```
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