```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

**If you want to contribute to TensorFlow, be sure to review the
[contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts
* **Replikation (die Anzahl der laufenden Prozesse)**
* Arbeitsspeicher
* Schritte vor dem Start

Bis zu diesem Punkt, in allen Tutorials in der Dokumentation, haben Sie wahrscheinlich ein **Serverprogramm** wie Uvicorn ausgeführt, in einem **einzelnen Prozess**.

Replication](https://min.io/docs/minio/linux/administration/bucket-replication.html) page. The [Bucket Replication](https://min.io/docs/minio/linux/administration/bucket-replication/bucket-replication-requirements.html) page references dedicated tutorials for configuring one-way "Active-Passive" and two-way "Active-Active" bucket replication.

To replicate objects in a bucket to a destination bucket on a target site either in the same cluster or a different cluster, start by enabling [versi...

!!! tip
    You don't need to see the code in `./scripts/docs.py`, you just use it in the command line.

All the documentation is in Markdown format in the directory `./docs/en/`.

Many of the tutorials have blocks of code.

In most of the cases, these blocks of code are actual complete applications that can be run as is.

    author_link: https://www.linkedin.com/in/mnrozhkov/
    link: https://www.evidentlyai.com/blog/fastapi-tutorial
    title: ML serving and monitoring with FastAPI and Evidently
  - author: Visual Studio Code Team
    author_link: https://code.visualstudio.com/
    link: https://code.visualstudio.com/docs/python/tutorial-fastapi
    title: FastAPI Tutorial in Visual Studio Code
  - author: Apitally
    author_link: https://apitally.io

    Sie müssen sich den Code in `./scripts/docs.py` nicht anschauen, verwenden Sie ihn einfach in der Kommandozeile.

Die gesamte Dokumentation befindet sich im Markdown-Format im Verzeichnis `./docs/en/`.

Viele der Tutorials enthalten Codeblöcke.

In den meisten Fällen handelt es sich bei diesen Codeblöcken um vollständige Anwendungen, die unverändert ausgeführt werden können.

Ce qu'il faut retenir c'est qu'en utilisant les types standard de Python, à un seul endroit (plutôt que d'ajouter plus de classes, de décorateurs, etc.), **FastAPI** fera une grande partie du travail pour vous.

!!! info

Now you can import and use the client code, it could look like this, notice that you get autocompletion for the methods:

<img src="/img/tutorial/generate-clients/image02.png">

You will also get autocompletion for the payload to send:

<img src="/img/tutorial/generate-clients/image03.png">

!!! tip
    Notice the autocompletion for `name` and `price`, that was defined in the FastAPI application, in the `Item` model.

    ```console
    $ pip install hypercorn

    ---> 100%
    ```

    </div>

    ...ou qualquer outro servidor ASGI.

E rode sua applicação do mesmo modo que você tem feito nos tutoriais, mas sem a opção `--reload`, por exemplo:

=== "Uvicorn"

    <div class="termy">

    ```console
    $ uvicorn main:app --host 0.0.0.0 --port 80

Схема JSON ваших моделей будет частью сгенерированной схемы OpenAPI и будет отображена в интерактивной документации API:

<img src="/img/tutorial/body/image01.png">

Также она будет указана в документации по API внутри каждой *операции пути*, в которой используются:

<img src="/img/tutorial/body/image02.png">

## Поддержка редактора