!!! tip
    If you need GraphQL, I still would recommend you check out <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a>, as it's based on type annotations instead of custom classes and types.

## Learn More

* 🚨 Avoid using `Optional[SomeType]`
* Instead ✨ **use `Union[SomeType, None]`** ✨.

Both are equivalent and underneath they are the same, but I would recommend `Union` instead of `Optional` because the word "**optional**" would seem to imply that the value is optional, and it actually means "it can be `None`", even if it's not optional and is still required.

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

        "items:read items:write users:read profile openid"
    client_id: optional string. OAuth2 recommends sending the client_id and client_secret (if any)
        using HTTP Basic auth, as: client_id:client_secret
    client_secret: optional string. OAuth2 recommends sending the client_id and client_secret (if any)
        using HTTP Basic auth, as: client_id:client_secret
    """

    def __init__(

If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them.

!!! tip

It is the recommended server for Starlette and **FastAPI**.

!!! check "**FastAPI** recommends it as"
    The main web server to run **FastAPI** applications.

    You can combine it with Gunicorn, to have an asynchronous multi-process server.

    <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.

Il faut qu'il continue à exister pendant un certain temps car vos clients l'utilisent, mais vous voulez que la documentation mentionne clairement que ce paramètre est <abbr title="obsolète, recommandé de ne pas l'utiliser">déprécié</abbr>.

On utilise alors l'argument `deprecated=True` de `Query` :

```Python hl_lines="18"
{!../../../docs_src/query_params_str_validations/tutorial010.py!}
```

    {!> ../../../docs_src/query_params_str_validations/tutorial009_py310.py!}
    ```

## 😛 🔢

🔜 ➡️ 💬 👆 🚫 💖 👉 🔢 🚫🔜.

👆 ✔️ 👈 ⚫️ 📤 ⏪ ↩️ 📤 👩‍💻 ⚙️ ⚫️, ✋️ 👆 💚 🩺 🎯 🎦 ⚫️ <abbr title="obsolete, recommended not to use it">😢</abbr>.

⤴️ 🚶‍♀️ 🔢 `deprecated=True` `Query`:

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="18"
    {!> ../../../docs_src/query_params_str_validations/tutorial010.py!}
    ```

This can be used as a quick shortcut if you have only one Pydantic model and want to remove some data from the output.

!!! tip
    But it is still recommended to use the ideas above, using multiple classes, instead of these parameters.