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

!!! tip

```Python hl_lines="22"
{!../../../docs_src/events/tutorial003.py!}
```

## Alternative Events (deprecated)

!!! warning

---> 100%
```

</div>

<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">Python-jose</a> requires a cryptographic backend as an extra.

Here we are using the recommended one: <a href="https://cryptography.io/" class="external-link" target="_blank">pyca/cryptography</a>.

!!! tip

## GraphQL with Strawberry

If you need or want to work with **GraphQL**, <a href="https://strawberry.rocks/" class="external-link" target="_blank">**Strawberry**</a> is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

    <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.

=== "Hypercorn"

    , 🚥 👆 🚫 🚚 1️⃣, **FastAPI** 🔜 🔁 🏗 1️⃣ "🏆 📨".

<img src="/img/tutorial/path-operation-configuration/image03.png">

## 😢 *➡ 🛠️*

🚥 👆 💪 ™ *➡ 🛠️* <abbr title="obsolete, recommended not to use it">😢</abbr>, ✋️ 🍵 ❎ ⚫️, 🚶‍♀️ 🔢 `deprecated`:

```Python hl_lines="16"
{!../../../docs_src/path_operation_configuration/tutorial006.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.

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.

app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

**Note**: This is the recommended way going forward, instead of using `startup` and `shutdown` events.

Read more about it in the new docs: [Advanced User Guide: Lifespan Events](https://fastapi.tiangolo.com/advanced/events/).

### Docs