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  1. docs/en/docs/learn/index.md

    # Learn { #learn }
    
    Here are the introductory sections and the tutorials to learn **FastAPI**.
    
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  2. docs/de/docs/learn/index.md

    # Lernen { #learn }
    
    Hier sind die einführenden Abschnitte und Tutorials, um **FastAPI** zu lernen.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
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  3. 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
    Registered: Tue Dec 30 12:39:10 UTC 2025
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  4. README.md

    - **[Gradle Community Resources](https://community.gradle.org/resources/)**: Discover a range of resources, tutorials, and guides to support your Gradle journey, from foundational concepts to advanced practices.
    
    ---
    
    ### 💬 **Community Support & Resources**
    
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  5. 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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  6. 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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  7. docs/de/docs/advanced/generate-clients.md

    <img src="/img/tutorial/generate-clients/image02.png">
    
    Sie werden auch eine automatische Vervollständigung für die zu sendende Payload erhalten:
    
    <img src="/img/tutorial/generate-clients/image03.png">
    
    /// tip | Tipp
    
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  8. docs/pt/docs/advanced/generate-clients.md

    Agora você pode importar e usar o código do cliente. 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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  9. 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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  10. docs/ru/docs/advanced/generate-clients.md

    Теперь вы можете импортировать и использовать клиентский код. Это может выглядеть так, обратите внимание, что вы получаете автозавершение для методoв:
    
    <img src="/img/tutorial/generate-clients/image02.png">
    
    Вы также получите автозавершение для отправляемой полезной нагрузки:
    
    <img src="/img/tutorial/generate-clients/image03.png">
    
    /// tip | Совет
    
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