{!> ../../../docs_src/sql_databases/sql_app/schemas.py!}
    ```

#### SQLAlchemy 风格和 Pydantic 风格

请注意，SQLAlchemy*模型*使用 `=`来定义属性，并将类型作为参数传递给`Column`，例如：

```Python
name = Column(String)
```

虽然 Pydantic*模型*使用`:` 声明类型，但新的类型注释语法/类型提示是：

```Python
name: str
```

请牢记这一点，这样您在使用`:`还是`=`时就不会感到困惑。

### 创建用于读取/返回的Pydantic*模型/模式*

    {!> ../../../docs_src/sql_databases/sql_app_py310/schemas.py!}
    ```

#### 🇸🇲 👗 & Pydantic 👗

👀 👈 🇸🇲 *🏷* 🔬 🔢 ⚙️ `=`, & 🚶‍♀️ 🆎 🔢 `Column`, 💖:

```Python
name = Column(String)
```

⏪ Pydantic *🏷* 📣 🆎 ⚙️ `:`, 🆕 🆎 ✍ ❕/🆎 🔑:

```Python
name: str
```

✔️ ⚫️ 🤯, 👆 🚫 🤚 😕 🕐❔ ⚙️ `=` & `:` ⏮️ 👫.

The `__tablename__` attribute tells SQLAlchemy the name of the table to use in the database for each of these models.

### Create model attributes/columns

Now create all the model (class) attributes.

Each of these attributes represents a column in its corresponding database table.

We use `Column` from SQLAlchemy as the default value.