Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

#!/usr/bin/env bash

set -e
set -x

# Check README.md is up to date
python ./scripts/docs.py verify-docs

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

    * 📨 & 📨 🔜 🎨 `str`.
* `datetime.datetime`:
    * 🐍 `datetime.datetime`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * 🐍 `datetime.date`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `2008-09-15`.
* `datetime.time`:
    * 🐍 `datetime.time`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `14:23:55.003`.
* `datetime.timedelta`:

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

👈 💪 ⤴️ ⚙️ 💖:

```Python

Wystarczy, że napiszesz standardowe deklaracje typów Pythona:

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

```Python