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  1. docs/en/docs/alternatives.md

    !!! check "Inspired **FastAPI** to"
        Find ways to get great performance.
    
        Along with Hug (as Hug is based on Falcon) inspired **FastAPI** to declare a `response` parameter in functions.
    
        Although in FastAPI it's optional, and is used mainly to set headers, cookies, and alternative status codes.
    
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  2. docs/en/docs/tutorial/response-model.md

    but you might want to omit them from the result if they were not actually stored.
    
    For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.
    
    ### Use the `response_model_exclude_unset` parameter
    
    You can set the *path operation decorator* parameter `response_model_exclude_unset=True`:
    
    === "Python 3.10+"
    
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  3. docs/fr/docs/async.md

    Cette page vise à fournir des détails sur la syntaxe `async def` pour les *fonctions de chemins* et quelques rappels sur le code asynchrone, la concurrence et le parallélisme.
    
    ## Vous êtes pressés ?
    
    <abbr title="'too long; didn't read' en anglais, ou 'trop long ; j'ai pas lu'"><strong>TL;DR :</strong></abbr>
    
    Si vous utilisez des bibliothèques tierces qui nécessitent d'être appelées avec `await`, telles que :
    
    ```Python
    results = await some_library()
    ```
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  4. docs/en/docs/deployment/https.md

    Only one process can be handling the specific IP and port (the TLS Termination Proxy in our example) but the other applications/processes can be running on the server(s) too, as long as they don't try to use the same **combination of public IP and port**.
    
    <img src="/img/deployment/https/https08.svg">
    
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  5. docs/en/docs/tutorial/security/oauth2-jwt.md

    We are going to start from where we left in the previous chapter and increment it.
    
    ## About JWT
    
    JWT means "JSON Web Tokens".
    
    It's a standard to codify a JSON object in a long dense string without spaces. It looks like this:
    
    ```
    eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
    ```
    
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  6. docs/en/docs/deployment/concepts.md

    When you run **multiple processes** of the same API program, they are commonly called **workers**.
    
    ### Worker Processes and Ports
    
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  7. docs/ja/docs/async.md

    # 並行処理と async / await
    
    *path operation 関数*のための `async def` に関する詳細と非同期 (asynchronous) コード、並行処理 (Concurrency)、そして、並列処理 (Parallelism) の背景について。
    
    ## 急いでいますか?
    
    <abbr title="too long; didn't read (長すぎて読めない人のための要約という意味のスラング)"><strong>TL;DR:</strong></abbr>
    
    次のような、`await` を使用して呼び出すべきサードパーティライブラリを使用している場合:
    
    ```Python
    results = await some_library()
    ```
    
    以下の様に `async def` を使用して*path operation 関数*を宣言します。
    
    ```Python hl_lines="2"
    @app.get('/')
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  8. docs/tr/docs/async.md

    # Concurrency ve async / await
    
    *path operasyon fonksiyonu* için `async def `sözdizimi,  asenkron kod, eşzamanlılık ve paralellik hakkında bazı ayrıntılar.
    
    ## Aceleniz mi var?
    
    <abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>
    
    Eğer `await` ile çağrılması gerektiğini belirten üçüncü taraf kütüphaneleri kullanıyorsanız, örneğin:
    
    ```Python
    results = await some_library()
    ```
    
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  9. docs/en/docs/tutorial/query-params-str-validations.md

        ```
    
    !!! note
        Keep in mind that in this case, FastAPI won't check the contents of the list.
    
        For example, `List[int]` would check (and document) that the contents of the list are integers. But `list` alone wouldn't.
    
    ## Declare more metadata
    
    You can add more information about the parameter.
    
    That information will be included in the generated OpenAPI and used by the documentation user interfaces and external tools.
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  10. docs/en/docs/async.md

    That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).
    
    To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.
    
    ## `async` and `await`
    
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