In that case, the URL would be: `/files//home/johndoe/myfile.txt`, with a double slash (`//`) between `files` and `home`.

///

## Recap

With **FastAPI**, by using short, intuitive and standard Python type declarations, you get:

* Editor support: error checks, autocompletion, etc.

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!)

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

You now have the tools to implement a complete security system based on `username` and `password` for your API.

## Recap

Having **HTTPS** is very important, and quite **critical** in most cases. Most of the effort you as a developer have to put around HTTPS is just about **understanding these concepts** and how they work.

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.

## 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.

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

////

//// tab | 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.

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="10"
{!> ../../docs_src/query_params_str_validations/tutorial014.py!}
```

////

## Recap

You can declare additional validations and metadata for your parameters.

Generic validations and metadata:

* `alias`
* `title`
* `description`
* `deprecated`

      }
      if (!lowerBound.equals(range.upperBound)) {
        gaps.put(lowerBound, new RangeMapEntry<K, V>(lowerBound, range.upperBound, value));
      }
    }

    // Remap all existing entries in the merge range.
    final Iterator<Entry<Cut<K>, RangeMapEntry<K, V>>> backingItr = entriesInMergeRange.iterator();
    while (backingItr.hasNext()) {

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