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README.md
```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
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docs/en/docs/learn/index.md
# Learn { #learn } Here are the introductory sections and the tutorials to learn **FastAPI**.
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docs/de/docs/learn/index.md
# Lernen Hier finden Sie die einführenden Kapitel und Tutorials zum Erlernen von **FastAPI**.
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docs/en/docs/deployment/server-workers.md
* Security - HTTPS * Running on startup * Restarts * **Replication (the number of processes running)** * Memory * Previous steps before starting Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.
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docs/pt/docs/advanced/generate-clients.md
Agora você pode importar e usar o código do cliente, ele poderia ser assim, observe que você obtém preenchimento automático para os métodos: <img src="/img/tutorial/generate-clients/image02.png"> Você também obterá preenchimento automático para o corpo a ser enviado: <img src="/img/tutorial/generate-clients/image03.png"> /// tip | Dica
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docs/de/docs/deployment/manually.md
---> 100% ``` </div> ... oder jeden anderen ASGI-Server. //// ## Das Serverprogramm ausführen Anschließend können Sie Ihre Anwendung auf die gleiche Weise ausführen, wie Sie es in den Tutorials getan haben, jedoch ohne die Option `--reload`, z. B.: //// tab | Uvicorn <div class="termy"> ```console $ uvicorn main:app --host 0.0.0.0 --port 80
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docs/en/docs/advanced/generate-clients.md
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.
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README.md
"article" ); suggester.indexer().indexFromDocument(reader, 4, 50); ``` ### Search Analytics ```java // Track user queries for analytics QueryLog userQuery = new QueryLog("machine learning tutorials", "user456"); suggester.indexer().indexFromQueryLog(userQuery); // Get trending searches PopularWordsResponse trending = suggester.popularWords() .setSize(10) .execute() .getResponse(); ```
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docs/es/docs/advanced/generate-clients.md
Ahora puedes importar y usar el código del cliente, podría verse así, nota que tienes autocompletado para los métodos: <img src="/img/tutorial/generate-clients/image02.png"> También obtendrás autocompletado para el payload a enviar: <img src="/img/tutorial/generate-clients/image03.png"> /// tip | Consejo
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docs/de/docs/deployment/server-workers.md
* 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**.
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