Einige von diesen ✨ [**sponsern FastAPI**](../help-fastapi.md#den-autor-sponsern){.internal-link target=_blank} ✨, das gewährleistet die kontinuierliche und gesunde **Entwicklung** von FastAPI und seinem **Ökosystem**.

この時点ですでに、これらのアイデアを持った**FastAPI**が多くの人の役に立っていることは明らかです。

多くのユースケースに適しているため、既存の方法よりも選ばれています。

多くの開発者やチームが、すでに **FastAPI** にプロジェクトを依存しています (私と私のチームも含めて) 。

しかし、まだまだ多くの改善点や機能があります。

**FastAPI**には大きな未来が待っています。

From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:

* **Security - HTTPS**
* **Running on startup**
* ***Restarts***

    ```Python hl_lines="19"
    {!> ../../../docs_src/dependencies/tutorial003.py!}
    ```

But declaring the type is encouraged as that way your editor will know what will be passed as the parameter `commons`, and then it can help you with code completion, type checks, etc:

<img src="/img/tutorial/dependencies/image02.png">

## Shortcut

But you see that we are having some code repetition here, writing `CommonQueryParams` twice:

Dans les versions précédentes de Javascript NodeJS / Navigateur, vous auriez utilisé des "callbacks". Menant potentiellement à ce que l'on appelle <a href="http://callbackhell.com/" class="external-link" target="_blank">le "callback hell"</a>.


## Coroutines

But in this case, if you could bring the 8 ex-cashier/cooks/now-cleaners, and each one of them (plus you) could take a zone of the house to clean it, you could do all the work in **parallel**, with the extra help, and finish much sooner.

In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create the Pydantic *models* / schemas

Create all the same Pydantic models as in the SQLAlchemy tutorial:

```Python hl_lines="16-18  21-22  25-30  34-35  38-39  42-48"

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create initial Pydantic *models* / schemas

Create an `ItemBase` and `UserBase` Pydantic *models* (or let's say "schemas") to have common attributes while creating or reading data.

                ```python
                from fastapi import FastAPI

                app = FastAPI(
                    description="""
                                ChimichangApp API helps you do awesome stuff. 🚀

                                ## Items

                                You can **read items**.

                                ## Users

En versiones anteriores de NodeJS / Browser JavaScript, habrías utilizado "callbacks". Lo que conduce a <a href="http://callbackhell.com/" class="external-link" target="_blank">callback hell</a>.

## Coroutines