I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors.

By the last [Python Developer Survey](https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools), that covers about 80% of the users.

* production (meaning production software or environment): продакшн (do not change the ending, for example, translate `in production` as `в продакшн` (not `в продакшене`))
* completion (meaning code auto-completion): автозавершение
* editor (meaning component of IDE): редактор кода
* adopt (meaning start to use): использовать (or `начать использовать`)
* headers (meaning HTTP-headers): HTTP-заголовки
* cookie sessions: сессии с использованием cookie

     *
     * @return the RID
     */
    int getRid();

    /**
     * Return a String representing this SID ideal for display to
     * users. This method should return the same text that the ACL
     * editor in Windows would display.
     * <p>
     * Specifically, if the SID has
     * been resolved and it is not a domain SID or builtin account,
     * the full DOMAIN\name form of the account will be

...de:

```Python
        ... "item_name": item.name ...
```

...para:

```Python
        ... "item_price": item.price ...
```

...e veja como seu editor irá auto-completar os atributos e saberá os tipos:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

$ fastapi dev main.py
```

But you would have to remember to pass the correct path every time you call the `fastapi` command.

Additionally, other tools might not be able to find it, for example the [VS Code Extension](editor-support.md) or [FastAPI Cloud](https://fastapicloud.com), so it is recommended to use the `entrypoint` in `pyproject.toml`.

## `fastapi dev` { #fastapi-dev }

Running `fastapi dev` initiates development mode.

<div class="termy">

```console
$ python main.py

Hello World
```

</div>

## Configure Your Editor { #configure-your-editor }

You would probably use an editor, make sure you configure it to use the same virtual environment you created (it will probably autodetect it) so that you can get autocompletion and inline errors.

For example:

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <dfn title="converting the string that comes from an HTTP request into Python data">"parsing"</dfn>
* Data validation
* Automatic documentation

## Defaults { #defaults }

```Python
commons = Depends(CommonQueryParams)
```

////

...as in:

{* ../../docs_src/dependencies/tutorial003_an_py310.py hl[19] *}

But declaring the type is encouraged as that way your editor will know what will be passed as the parameter `commons`, and then it can help you with code completion, type checks, etc:

<img src="/img/tutorial/dependencies/image02.png">

## Shortcut { #shortcut }

`fastapi dev` 명령어에 파일 경로를 전달할 수도 있으며, 그러면 사용할 FastAPI 앱 객체를 추정합니다:

```console
$ fastapi dev main.py
```

하지만 매번 `fastapi` 명령어를 호출할 때 올바른 경로를 전달하는 것을 기억해야 합니다.

또한 [VS Code 확장](editor-support.md)이나 [FastAPI Cloud](https://fastapicloud.com) 같은 다른 도구에서는 이를 찾지 못할 수도 있으므로, `pyproject.toml`의 `entrypoint`를 사용하는 것을 권장합니다.

## `fastapi dev` { #fastapi-dev }

`fastapi dev`를 실행하면 개발 모드가 시작됩니다.

You don't really need to declare the return type annotation for streaming binary data.

As FastAPI will not try to convert the data to JSON with Pydantic or serialize it in any way, in this case, the type annotation is only for your editor and tools to use, it won't be used by FastAPI.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[32:35] hl[33] *}