///

//// tab | Linux, macOS

<div class="termy">

```console
$ source .venv/bin/activate
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ .venv\Scripts\Activate.ps1
```

</div>

////

//// tab | Windows Bash

chrome.omnibox.onInputEntered.addListener(function(t) {
  var url = urlForInput(t);
  if (url) {
    chrome.tabs.query({ "active": true, "currentWindow": true }, function(tab) {
      if (!tab) return;
      chrome.tabs.update(tab.id, { "url": url, "selected": true });
    });
  }

///

## Importieren Sie Pydantics `BaseModel`

Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

//// tab | Python 3.10+

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## Erstellen Sie Ihr Datenmodell

从 `pydantic` 中导入 `BaseModel`：

//// tab | Python 3.10+

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## 创建数据模型

把数据模型声明为继承 `BaseModel` 的类。

使用 Python 标准类型声明所有属性：

//// tab | Python 3.10+

```Python hl_lines="5-9"

Hier der generelle Weg, wie die Modelle mit ihren Passwort-Feldern aussehen könnten, und an welchen Orten sie verwendet werden würden.

//// tab | Python 3.10+

```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"
{!> ../../docs_src/extra_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
{!> ../../docs_src/extra_models/tutorial001.py!}
```

## 🗄 `Field`

🥇, 👆 ✔️ 🗄 ⚫️:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="4"
{!> ../../docs_src/body_fields/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="2"
{!> ../../docs_src/body_fields/tutorial001_py310.py!}
```

////

/// warning

//// tab | Python 3.10+

```Python hl_lines="1"
{!> ../../docs_src/python_types/tutorial009_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial009.py!}
```

////

//// tab | Python 3.8+ বিকল্প

```Python hl_lines="1  4"

///

## 💗 🏷

📥 🏢 💭 ❔ 🏷 💪 👀 💖 ⏮️ 👫 🔐 🏑 & 🥉 🌐❔ 👫 ⚙️:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
{!> ../../docs_src/extra_models/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"
{!> ../../docs_src/extra_models/tutorial001_py310.py!}

In diesem Fall werden sie auf alle *Pfadoperationen* in der Anwendung angewendet:

//// tab | Python 3.9+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial012_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial012_an.py!}
```

////

//// tab | Python 3.8 nicht annotiert

/// tip | "Tipp"

In that case, they will be applied to all the *path operations* in the application:

//// tab | Python 3.9+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial012_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial012_an.py!}
```

////

//// tab | Python 3.8 non-Annotated

/// tip