And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

## Recap

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)

You can learn how to use them and how they are integrated into **FastAPI** later in the **Advanced User Guide**.

## Recap

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

    !!! tip
        Prefer to use the `Annotated` version if possible.

    ```Python hl_lines="11  18"
    {!> ../../../docs_src/request_files/tutorial003.py!}
    ```

## Recap

    {!> ../../../docs_src/response_model/tutorial006_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="31  37"
    {!> ../../../docs_src/response_model/tutorial006.py!}
    ```

## Recap

Use the *path operation decorator's* parameter `response_model` to define response models and especially to ensure private data is filtered out.

## Recap

You can use Pydantic Settings to handle the settings or configurations for your application, with all the power of Pydantic models.

* By using a dependency you can simplify testing.
* You can use `.env` files with it.

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap

You have been reading here some of the main concepts that you would probably need to keep in mind when deciding how to deploy your application:

* Security - HTTPS
* Running on startup
* Restarts

* The alternative documentation will also reflect the new query parameter and body:

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

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

* **<abbr title="Short">کوچک</abbr>**: کاهش تکرار در کد. چندین قابلیت برای هر پارامتر (منظور پارامترهای ورودی تابع هندلر می‌باشد، به بخش <a href="https://fastapi.tiangolo.com/#recap">خلاصه</a> در همین صفحه مراجعه شود). باگ کمتر.
* **<abbr title="Robust">استوار</abbr>**: ایجاد کدی آماده برای استفاده در محیط پروداکشن و تولید خودکار <abbr title="Interactive documentation">مستندات تعاملی</abbr>

* The alternative documentation will also reflect the new query parameter and body:

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

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

```Dockerfile
CMD ["uvicorn", "app.main:app", "--proxy-headers", "--host", "0.0.0.0", "--port", "80"]
```

## Recap

Using container systems (e.g. with **Docker** and **Kubernetes**) it becomes fairly straightforward to handle all the **deployment concepts**:

* HTTPS
* Running on startup
* Restarts