## Motivation

Fangen wir mit einem einfachen Beispiel an:

```Python
{!../../../docs_src/python_types/tutorial001.py!}
```

Dieses Programm gibt aus:

```
John Doe
```

Die Funktion macht Folgendes:

* Nimmt einen `first_name` und `last_name`.
* Schreibt den ersten Buchstaben eines jeden Wortes groß, mithilfe von `title()`.

      <organization>IBM</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-6</timezone>
    </developer>
    <developer>
      <id>jdcasey</id>
      <name>John Casey</name>
      <email>******@****.***</email>
      <organization>ASF</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-5</timezone>
    </developer>

<img src="/img/tutorial/security/image08.png">

Rufen Sie den Endpunkt `/users/me/` auf, Sie erhalten die Response:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

Verwenden Sie nun die Operation `GET` mit dem Pfad `/users/me`.

Sie erhalten Ihre Benutzerdaten:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

Now use the operation `GET` with the path `/users/me`.

You will get your user's data, like:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

      <organization>IBM</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-6</timezone>
    </developer>
    <developer>
      <id>jdcasey</id>
      <name>John Casey</name>
      <email>******@****.***</email>
      <organization>ASF</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-5</timezone>
    </developer>

# Un modèle Pydantic
class User(BaseModel):
    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

    return user_id


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

Sonrasında bu şekilde kullanabilirsin

```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

      <organization>IBM</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-6</timezone>
    </developer>
    <developer>
      <id>jdcasey</id>
      <name>John Casey</name>
      <email>******@****.***</email>
      <organization>ASF</organization>
      <roles>
        <role>PMC Member</role>
      </roles>
      <timezone>-5</timezone>
    </developer>

## প্রেরণা

চলুন একটি সাধারণ উদাহরণ দিয়ে শুরু করি:

```Python
{!../../../docs_src/python_types/tutorial001.py!}
```

এই প্রোগ্রামটি কল করলে আউটপুট হয়:

```
John Doe
```

ফাংশনটি নিম্নলিখিত কাজ করে:

* `first_name` এবং `last_name` নেয়।
* প্রতিটির প্রথম অক্ষরকে `title()` ব্যবহার করে বড় হাতের অক্ষরে রূপান্তর করে।