![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)


### 現代 Python

這一切都基於標準的 **Python 型別**宣告（感謝 Pydantic）。無需學習新的語法，只需使用標準的現代 Python。

如果你需要 2 分鐘來學習如何使用 Python 型別（即使你不使用 FastAPI），可以看看這個簡短的教學：[Python 型別](python-types.md){.internal-link target=_blank}。

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string

* declare the path parameter `item_id` using `Path`
* have them in a different order
* not use `Annotated`

...Python has a little special syntax for that.

Pass `*`, as the first parameter of the function.

And they send a request with a username `johndoe` and a password `love123`.

Then the Python code in your application would be equivalent to something like:

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

    steps:
    - name: Dump GitHub context
      env:
        GITHUB_CONTEXT: ${{ toJson(github) }}
      run: echo "$GITHUB_CONTEXT"
    - uses: actions/checkout@v5
    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: "3.11"
    - name: Setup uv
      uses: astral-sh/setup-uv@v6
      with:
        version: "0.4.15"
        enable-cache: true
        cache-dependency-glob: |

      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |

:

```Python
q: Union[str, None] = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

```Python
q: Union[str, None] = None
```

& 🐍 3️⃣.1️⃣0️⃣ & 🔛:

```Python
q: str | None = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

```Python
q: str | None = None
```

✋️ ⚫️ 📣 ⚫️ 🎯 💆‍♂ 🔢 🔢.

/// info

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

/// note

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

A função não retorna um grande `str` contendo os dados no formato JSON (como uma string). Mas sim, retorna uma estrutura de dados padrão do Python (por exemplo, um `dict`) com valores e subvalores compatíveis com JSON.

/// note | Nota

⤴️ 🐍 📟 👆 🈸 🔜 🌓 🕳 💖:

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

✋️ ▶️️ 🙍 🐍 🔬 🥇 `j` `johndoe` 🥇 `s` `stanleyjobson`, ⚫️ 🔜 📨 `False`, ↩️ ⚫️ ⏪ 💭 👈 📚 2️⃣ 🎻 🚫 🎏, 💭 👈 "📤 🙅‍♂ 💪 🗑 🌅 📊 ⚖ 🎂 🔤". & 👆 🈸 🔜 💬 "❌ 👩‍💻 ⚖️ 🔐".

✋️ ⤴️ 👊 🔄 ⏮️ 🆔 `stanleyjobsox` & 🔐 `love123`.

& 👆 🈸 📟 🔨 🕳 💖:

```Python

commands.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPI.*

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')