For example, there's an official <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>.

And there are many other images for different things like databases, for example for:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>

但是你仍然需要使用 `Path` 来声明路径参数 `item_id`。

如果你将带有「默认值」的参数放在没有「默认值」的参数之前，Python 将会报错。

但是你可以对其重新排序，并将不带默认值的值（查询参数 `q`）放到最前面。

对 **FastAPI** 来说这无关紧要。它将通过参数的名称、类型和默认值声明（`Query`、`Path` 等）来检测参数，而不在乎参数的顺序。

因此，你可以将函数声明为：

{* ../../docs_src/path_params_numeric_validations/tutorial002.py hl[7] *}

## 按需对参数排序的技巧

如果你想不使用 `Query` 声明没有默认值的查询参数 `q`，同时使用 `Path` 声明路径参数 `item_id`，并使它们的顺序与上面不同，Python 对此有一些特殊的语法。

传递 `*` 作为函数的第一个参数。

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

Da wir jedoch `Annotated` verwenden, können wir diesen `Annotated`-Wert in einer Variablen speichern und an mehreren Stellen verwenden:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

/// tip | Tipp

# `APIRouter` class

Here's the reference information for the `APIRouter` class, with all its parameters, attributes and methods.

You can import the `APIRouter` class directly from `fastapi`:

```python
from fastapi import APIRouter
```

::: fastapi.APIRouter
    options:
        members:
            - websocket
            - include_router
            - get
            - put
            - post
            - delete

You can import it directly from `fastapi`:

```python
from fastapi import BackgroundTasks
```

* оголосити параметр шляху `item_id`, використовуючи `Path`
* розмістити їх у різному порядку
* не використовувати `Annotated`

...у Python є спеціальний синтаксис для цього.

Передайте `*` як перший параметр функції.

You can import it from `fastapi.requests`:

```python
from fastapi.requests import HTTPConnection
```

    * Mit <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> für ASGI-Integration
* <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a>
    * Mit <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a>

Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).

You can import it directly from `fastapi.staticfiles`:

```python
from fastapi.staticfiles import StaticFiles
```

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML