* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

Neste exemplo, usaremos **SQLite**, porque ele usa um único arquivo e o Python tem suporte integrado. Assim, você pode copiar este exemplo e executá-lo como está.

Mais tarde, para sua aplicação em produção, você pode querer usar um servidor de banco de dados como o **PostgreSQL**.

/// tip | Dica

    /** Execution type for thumbnail operations. */
    public static final String EXECUTE_TYPE_THUMBNAIL = "thumbnail";

    /** Execution type for Python script operations. */
    public static final String EXECUTE_TYPE_PYTHON = "python";

    /** Execution type for suggest operations. */
    public static final String EXECUTE_TYPE_SUGGEST = "suggest";

    /** Default script type (Groovy). */

/// info | Información

Esto requiere instalar `ujson`, por ejemplo, con `pip install ujson`.

///

/// warning | Advertencia

`ujson` es menos cuidadoso que la implementación integrada de Python en cómo maneja algunos casos extremos.

///

{* ../../docs_src/custom_response/tutorial001.py hl[2,7] *}

/// tip | Consejo

Es posible que `ORJSONResponse` sea una alternativa más rápida.

///

#### Sobre `**user_dict`

`UserInDB(**user_dict)` significa:

*Passe as keys (chaves) e values (valores) de `user_dict` diretamente como argumentos de valor-chave, equivalente a:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],

#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

////

{* ../../docs_src/security/tutorial003_py310.py hl[78:81] *}

#### `**user_dict`에 대해

`UserInDB(**user_dict)`는 다음을 의미한다:

*`user_dict`의 키와 값을 다음과 같은 키-값 인수로 직접 전달합니다:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],

///

## `Annotated`인 의존성 공유하기

위의 예제에서 몇몇 작은 **코드 중복**이 있다는 것을 보았을 겁니다.

`common_parameters()`의존을 사용해야 한다면, 타입 명시와 `Depends()`와 함께 전체 매개변수를 적어야 합니다:

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

하지만 `Annotated`를 사용하고 있기에, `Annotated` 값을 변수에 저장하고 여러 장소에서 사용할 수 있습니다:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, и т.д.

В данном примере мы будем использовать базу данных **SQLite**, т.к. она состоит из единственного файла и поддерживается встроенными библиотеками Python. Таким образом, вы сможете скопировать данный пример и запустить его как он есть.

В дальнейшем, для продакшн-версии вашего приложения, возможно, вам стоит использовать серверную базу данных, например, **PostgreSQL**.