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docs/en/docs/advanced/behind-a-proxy.md
Alternatively, if you don't have a way to provide a command line option like `--root-path` or equivalent, you can set the `root_path` parameter when creating your FastAPI app: ```Python hl_lines="3" {!../../../docs_src/behind_a_proxy/tutorial002.py!} ``` Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn. ### About `root_path`
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docs/en/docs/tutorial/response-model.md
```Python hl_lines="31 37" {!> ../../../docs_src/response_model/tutorial005.py!} ``` !!! tip The syntax `{"name", "description"}` creates a `set` with those two values. It is equivalent to `set(["name", "description"])`. #### Using `list`s instead of `set`s If you forget to use a `set` and use a `list` or `tuple` instead, FastAPI will still convert it to a `set` and it will work correctly:
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docs/en/docs/python-types.md
`Optional[Something]` is actually a shortcut for `Union[Something, None]`, they are equivalent. This also means that in Python 3.10, you can use `Something | None`: === "Python 3.10+" ```Python hl_lines="1" {!> ../../../docs_src/python_types/tutorial009_py310.py!} ```
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docs/en/docs/deployment/concepts.md
And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory. ### Server Memory
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docs/en/docs/tutorial/bigger-applications.md
**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility. !!! info If you come from Flask, this would be the equivalent of Flask's Blueprints. ## An example file structure Let's say you have a file structure like this: ``` . ├── app │ ├── __init__.py │ ├── main.py │ ├── dependencies.py │ └── routers
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docs/fr/docs/tutorial/query-params-str-validations.md
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docs/de/docs/tutorial/body-nested-models.md
### Eine `list`e mit einem Typ-Parameter deklarieren Um Typen wie `list`, `dict`, `tuple` mit inneren Typ-Parametern (inneren Typen) zu deklarieren: * Wenn Sie eine Python-Version kleiner als 3.9 verwenden, importieren Sie das Äquivalent zum entsprechenden Typ vom `typing`-Modul * Überreichen Sie den/die inneren Typ(en) von eckigen Klammern umschlossen, `[` und `]`, als „Typ-Parameter“ In Python 3.9 wäre das: ```Python my_list: list[str] ```
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docs/en/docs/deployment/docker.md
* Build your FastAPI image: <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> !!! tip Notice the `.` at the end, it's equivalent to `./`, it tells Docker the directory to use to build the container image. In this case, it's the same current directory (`.`). ### Start the Docker Container * Run a container based on your image:
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docs/en/docs/tutorial/security/simple-oauth2.md
{!> ../../../docs_src/security/tutorial003.py!} ``` #### About `**user_dict` `UserInDB(**user_dict)` means: *Pass the keys and values of the `user_dict` directly as key-value arguments, equivalent to:* ```Python UserInDB( username = user_dict["username"], email = user_dict["email"], full_name = user_dict["full_name"], disabled = user_dict["disabled"],
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docs/pt/docs/deployment.md
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