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docs/en/docs/tutorial/static-files.md
**FastAPI** provides the same `starlette.staticfiles` as `fastapi.staticfiles` just as a convenience for you, the developer. But it actually comes directly from Starlette. ### What is "Mounting" "Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.
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docs/en/docs/tutorial/path-params.md
Nevertheless, you can still do it in **FastAPI**, using one of the internal tools from Starlette. And the docs would still work, although not adding any documentation telling that the parameter should contain a path. ### Path convertor Using an option directly from Starlette you can declare a *path parameter* containing a *path* using a URL like: ```
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docs/en/docs/deployment/manually.md
<div class="termy"> ```console $ pip install "uvicorn[standard]" ---> 100% ``` </div> !!! tip By adding the `standard`, Uvicorn will install and use some recommended extra dependencies. That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.
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docs/en/docs/how-to/async-sql-encode-databases.md
``` !!! note Notice that as we communicate with the database using `await`, the *path operation function* is declared with `async`. ### Notice the `response_model=List[Note]` It uses `typing.List`. That documents (and validates, serializes, filters) the output data, as a `list` of `Note`s. ## Create notes Create the *path operation function* to create notes: ```Python hl_lines="61-65"
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pyproject.toml
"Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Software Development :: Libraries", "Topic :: Software Development", "Typing :: Typed", "Development Status :: 4 - Beta", "Environment :: Web Environment", "Framework :: AsyncIO", "Framework :: FastAPI", "Framework :: Pydantic", "Framework :: Pydantic :: 1",
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docs/en/docs/advanced/sub-applications.md
## Mounting a **FastAPI** application "Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application. ### Top-level application
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docs/en/docs/tutorial/extra-models.md
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docs/ko/docs/tutorial/body-nested-models.md
하지만 파이썬은 내부의 타입이나 "타입 매개변수"를 선언할 수 있는 특정 방법이 있습니다: ### typing의 `List` 임포트 먼저, 파이썬 표준 `typing` 모듈에서 `List`를 임포트합니다: ```Python hl_lines="1" {!../../../docs_src/body_nested_models/tutorial002.py!} ``` ### 타입 매개변수로 `List` 선언 `list`, `dict`, `tuple`과 같은 타입 매개변수(내부 타입)를 갖는 타입을 선언하려면: * `typing` 모듈에서 임포트 * 대괄호를 사용하여 "타입 매개변수"로 내부 타입 전달: `[` 및 `]` ```Python from typing import List my_list: List[str] ```
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docs/en/docs/tutorial/body-nested-models.md
But Python has a specific way to declare lists with internal types, or "type parameters": ### Import typing's `List` In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡 But in Python versions before 3.9 (3.6 and above), you first need to import `List` from standard Python's `typing` module: ```Python hl_lines="1" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ```
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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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