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="3"
    {!> ../../../docs_src/cookie_params/tutorial001.py!}
    ```

## Declarar parámetros de `Cookie`

Luego declara los parámetros de cookie usando la misma estructura que con `Path` y `Query`.

El primer valor es el valor por defecto, puedes pasar todos los parámetros adicionales de validación o anotación:

=== "Python 3.10+"

    ```Python hl_lines="9"

<font color="#3465A4">INFO    </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font>
<font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

    ```Python hl_lines="3"
    {!> ../../../docs_src/header_params/tutorial001.py!}
    ```

## Declare `Header` parameters

Then declare the header parameters using the same structure as with `Path`, `Query` and `Cookie`.

The first value is the default value, you can pass all the extra validation or annotation parameters:

=== "Python 3.10+"

    ```Python hl_lines="9"

In a similar way you could use any other ORM.

!!! tip
    There's an equivalent article using Peewee here in the docs.

## File structure

For these examples, let's say you have a directory named `my_super_project` that contains a sub-directory called `sql_app` with a structure like this:

```
.
└── sql_app
    ├── __init__.py
    ├── crud.py
    ├── database.py
    ├── main.py
    ├── models.py

Inklusive externer Bibliotheken, die auf Pydantic basieren, wie <abbr title="Object-Relational Mapper (Abbildung von Objekten auf relationale Strukturen)">ORM</abbr>s, <abbr title="Object-Document Mapper (Abbildung von Objekten auf nicht-relationale Strukturen)">ODM</abbr>s für Datenbanken.

Daher können Sie in vielen Fällen das Objekt einer Anfrage **direkt zur Datenbank** schicken, weil alles automatisch validiert wird.

### Docs

* 📝 Update data structure and render for external-links. PR [#10495](https://github.com/tiangolo/fastapi/pull/10495) by [@tiangolo](https://github.com/tiangolo).

!!! tip
    Review what each line does by clicking each number bubble in the code. 👆

You should now have a directory structure like:

```
.
├── app
│   ├── __init__.py
│   └── main.py
├── Dockerfile
└── requirements.txt
```

#### Behind a TLS Termination Proxy

    ```Python hl_lines="8-11"
    {!> ../../../docs_src/dependencies/tutorial001.py!}
    ```

Das war's schon.

**Zwei Zeilen**.

Und sie hat die gleiche Form und Struktur wie alle Ihre *Pfadoperation-Funktionen*.

Sie können sie sich als *Pfadoperation-Funktion* ohne den „Dekorator“ (ohne `@app.get("/some-path")`) vorstellen.

Und sie kann alles zurückgeben, was Sie möchten.

* `int`
* `float`
* `bool`
* `bytes`

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Generic types with type parameters

There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.