Conversations in the chat systems are also not as easily searchable as in GitHub, so questions and answers might get lost in the conversation. And only the ones in GitHub count to become a [FastAPI Expert](fastapi-people.md#fastapi-experts){.internal-link target=_blank}, so you will most probably receive more attention in GitHub.

            bool,
            Doc(
                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

The cashier says something to the cook in the kitchen so they know they have to prepare your burgers (even though they are currently preparing the ones for the previous clients).

<img src="/img/async/concurrent-burgers/concurrent-burgers-03.png" class="illustration">

You pay. 💸

The cashier gives you the number of your turn.

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

## License

# Tutorial - User Guide

This tutorial shows you how to use **FastAPI** with most of its features, step by step.

Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs.

It is also built to work as a future reference.

So you can come back and see exactly what you need.

## Run the code

{!../../../docs_src/python_types/tutorial006.py!}
```

Declara la variable con la misma sintaxis de los dos puntos (`:`).

Pon `List` como el tipo.

Como la lista es un tipo que permite tener un "sub-tipo" pones el sub-tipo en corchetes `[]`:

```Python hl_lines="4"
{!../../../docs_src/python_types/tutorial006.py!}
```

Esto significa: la variable `items` es una `list` y cada uno de los ítems en esta lista es un `str`.

            bool,
            Doc(
                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

## License

* And then it starts **4 workers**, each with its own PID: `19511`, `19513`, `19514`, and `19515`.

Gunicorn would also take care of managing **dead processes** and **restarting** new ones if needed to keep the number of workers. So that helps in part with the **restart** concept from the list above.

* el path `/`
* usando una <abbr title="an HTTP GET method">operación <code>get</code></abbr>

!!! info "Información sobre `@decorator`"
    Esa sintaxis `@algo` se llama un "decorador" en Python.

    Lo pones encima de una función. Es como un lindo sombrero decorado (creo que de ahí salió el concepto).

    Un "decorador" toma la función que tiene debajo y hace algo con ella.