* Встроенный в Python `datetime.datetime`.
    * В запросах и ответах будет представлен как `str` в формате ISO 8601, например: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Встроенный в Python `datetime.date`.
    * В запросах и ответах будет представлен как `str` в формате ISO 8601, например: `2008-09-15`.
* `datetime.time`:
    * Встроенный в Python `datetime.time`.

* `datetime.datetime`:
    * Пайтонівський `datetime.datetime`.
    * У запитах та відповідях буде представлений як `str` в форматі ISO 8601, як: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Пайтонівський `datetime.date`.
    * У запитах та відповідях буде представлений як `str` в форматі ISO 8601, як: `2008-09-15`.
* `datetime.time`:
    * Пайтонівський `datetime.time`.

my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` means:

    Pass the keys and values of the `second_user_data` dict directly as key-value arguments, equivalent to: `User(id=4, name="Mary", joined="2018-11-30")`

### Editor support

class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` quer dizer:

    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` signifie:

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


!!! info
    `**second_user_data` 意思是:

    直接将`second_user_data`字典的键和值直接作为key-value参数传递，等同于：`User(id=4, name="Mary", joined="2018-11-30")`

### 编辑器支持

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` ⛓:

    🚶‍♀️ 🔑 & 💲 `second_user_data` #️⃣ 🔗 🔑-💲 ❌, 🌓: `User(id=4, name="Mary", joined="2018-11-30")`

### 👨‍🎨 🐕‍🦺

Я проверил несколько идей на самых популярных редакторах кода среди Python-разработчиков: PyCharm, VS Code, Jedi.

Данные по редакторам я взял из <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">опроса Python-разработчиков</a>, который охватываает около 80% пользователей.

I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors.

By the last <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>, that covers about 80% of the users.

Eu testei várias ideias nos editores Python mais populares: PyCharm, VS Code, e editores baseados no Jedi.

Pela última <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Pesquisa do Desenvolvedor Python</a>, isso cobre cerca de 80% dos usuários.