You write standard Python with types:

```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
```

That can then be used like:

```Python

// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package main

import (
	"bytes"
	"encoding/binary"
	"encoding/hex"
	"errors"
	"fmt"
	"io"
	"os"
	"strings"
	"time"

	json "github.com/minio/colorjson"

	"github.com/klauspost/compress/zip"

Je schrijft gewoon standaard Python met types:

```Python
from datetime import date

from pydantic import BaseModel

# Declareer een variabele als een str
# en krijg editorondersteuning in de functie
def main(user_id: str):
    return user_id


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

Vervolgens kan je het op deze manier gebruiken:

```Python

`Hero`를 **삭제**하는 것도 가능합니다.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[66:73] hl[71] *}

### 애플리케이션 실행하기

애플리케이션을 실행하려면 다음 명령을 사용합니다:

<div class="termy">

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

 *     .build();
 * Response response = eagerClient.newCall(request).execute();
 * ```
 *
 * ## Shutdown Isn't Necessary
 *
 * The threads and connections that are held will be released automatically if they remain idle. But
 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *
 * Shutdown the dispatcher's executor service with [shutdown()][ExecutorService.shutdown]. This will

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


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

Que luego puede ser usado como:

```Python

* L'apprentissage profond (ou **Deep Learning**) : est un sous-domaine du **Machine Learning**, donc les mêmes raisons s'appliquent. Avec la différence qu'il n'y a pas une unique feuille de calcul de nombres à multiplier, mais une énorme quantité d'entre elles, et dans de nombreux cas, on utilise un processeur spécial...

        parent = documentList;
        this.offset = offset;
        this.start = start;
        this.pageSize = pageSize;
    }

    /**
     * Main constructor that creates a QueryResponseList with complete search metadata.
     *
     * @param documentList the list of documents returned by the search

mvn clean package

# Generate test coverage report
mvn verify
# Coverage report available at: target/site/jacoco/index.html
```

### Project Structure
```
corelib/
├── src/main/java/org/codelibs/core/
│   ├── beans/          # Bean manipulation and introspection
│   ├── collection/     # Enhanced collection utilities
│   ├── convert/        # Type conversion utilities

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