```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

dann haben wir jetzt in der Variable `user_dict` ein `dict` mit den gleichen Daten (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

```Python

if [ ! -x "$JAVACMD" ]; then
  echo "Error: JAVA_HOME is not defined correctly." >&2
  echo "  We cannot execute $JAVACMD" >&2
  exit 1
fi

if [ -z "$JAVA_HOME" ]; then
  echo "Warning: JAVA_HOME environment variable is not set." >&2
fi

# traverses directory structure from process work directory to filesystem root
# first directory with .mvn subdirectory is considered project base directory
find_maven_basedir() {

```sh
openssl genrsa -aes256 -passout pass:PASSWORD -out private.key 2048
```

**Note:** When using a password-protected private key, the password must be provided through the environment variable `MINIO_CERT_PASSWD` using the following command:

```sh
export MINIO_CERT_PASSWD=<PASSWORD>
```

Vous écrivez du python standard avec des annotations de types:

```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

    server.requireClientAuth()
    val call = client.newCall(Request.Builder().url(server.url("/")).build())
    assertFailsWith<IOException> {
      call.execute()
    }

    // Observed Events are variable
    // JDK 14
    // CallStart, ProxySelectStart, ProxySelectEnd, DnsStart, DnsEnd, ConnectStart, SecureConnectStart,
    // SecureConnectEnd, ConnectEnd, ConnectionAcquired, RequestHeadersStart, RequestHeadersEnd,

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

Pero como estamos usando `Annotated`, podemos almacenar ese valor `Annotated` en una variable y usarlo en múltiples lugares:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

/// tip | Consejo

# Parameter Path

"parameter" atau "variabel" path didefinisikan dengan sintaksis Python format string:

{* ../../docs_src/path_params/tutorial001.py hl[6:7] *}

Nilai parameter path `item_id` akan dikirim ke fungsi sebagai argument `item_id`:

Jika anda menjalankan contoh berikut dan kunjungi <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>, anda akan melihat respon:

```JSON

شما پایتون استاندارد را با استفاده از تایپ ها مینویسید:

```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
```

	// Captures all batch jobs metrics globally
	globalBatchJobsMetrics batchJobMetrics

	// Indicates if server was started as `--address ":0"`
	globalDynamicAPIPort bool

	// Add new variable global values here.
)

var globalAuthPluginMutex sync.Mutex

func newGlobalAuthNPluginFn() *idplugin.AuthNPlugin {
	globalAuthPluginMutex.Lock()
	defer globalAuthPluginMutex.Unlock()

///

### Étape 2 : créer une "instance" `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[3] *}

Ici la variable `app` sera une "instance" de la classe `FastAPI`.

Ce sera le point principal d'interaction pour créer toute votre API.

Cette `app` est la même que celle à laquelle fait référence `uvicorn` dans la commande :