But it was updated to use Python-jose instead as it provides all the features from PyJWT plus some extras that you might need later when building integrations with other tools.

## Password hashing

"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

It is compatible with:

* PostgreSQL
* MySQL
* SQLite

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

!!! tip

For now, don't pay attention to the rest, only the imports:

```Python hl_lines="3-5"
{!../../../docs_src/nosql_databases/tutorial001.py!}
```

## Define a constant to use as a "document type"

We will use it later as a fixed field `type` in our documents.

This is not required by Couchbase, but is a good practice that will help you afterwards.

```Python hl_lines="9"
{!../../../docs_src/nosql_databases/tutorial001.py!}
```

    * One Uvicorn **process manager** would listen on the **IP** and **port**, and it would start **multiple Uvicorn worker processes**.
* **Kubernetes** and other distributed **container systems**
    * Something in the **Kubernetes** layer would listen on the **IP** and **port**. The replication would be by having **multiple containers**, each with **one Uvicorn process** running.
* **Cloud services** that handle this for you

    {!> ../../../docs_src/body_multiple_params/tutorial004.py!}
    ```

!!! info
    `Body` also has all the same extra validation and metadata parameters as `Query`,`Path` and others you will see later.

## Embed a single body parameter

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

For now, you just need to know that `Annotated` exists, and that it's standard Python. 😎

Later you will see how **powerful** it can be.

!!! tip

* 👥 Update FastAPI People. PR [#9999](https://github.com/tiangolo/fastapi/pull/9999) by [@tiangolo](https://github.com/tiangolo).
* 🐳 Update Dockerfile with compatibility versions, to upgrade later. PR [#9998](https://github.com/tiangolo/fastapi/pull/9998) by [@tiangolo](https://github.com/tiangolo).

# -----------------------------------------------------------------------------
# Specification
# -----------------------------------------------------------------------------

# Card size and layers
size: { width: 1200, height: 630 }
layers:

  # Background
  - background:
      image: *background_image
      color: *background_color

  # Logo
  - size: { width: 144, height: 144 }
    offset: { x: 992, y: 64 }

* Designed around these standards, after a meticulous study. Instead of an afterthought layer on top.
* This also allows using automatic **client code generation** in many languages.

### Automatic docs

    ```

In this case, this `__call__` is what **FastAPI** will use to check for additional parameters and sub-dependencies, and this is what will be called to pass a value to the parameter in your *path operation function* later.

## Parameterize the instance

And now, we can use `__init__` to declare the parameters of the instance that we can use to "parameterize" the dependency:

=== "Python 3.9+"

    ```Python hl_lines="9"