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  1. docs/de/docs/benchmarks.md

    # Benchmarks
    
    Unabhängige TechEmpower-Benchmarks zeigen, **FastAPI**-Anwendungen, die unter Uvicorn ausgeführt werden, gehören zu <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">den schnellsten existierenden Python-Frameworks</a>, nur Starlette und Uvicorn selbst (intern von FastAPI verwendet) sind schneller.
    
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  2. docs/es/docs/benchmarks.md

    # Benchmarks
    
    Los benchmarks independientes de TechEmpower muestran aplicaciones de **FastAPI** que se ejecutan en Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l= zijzen-7" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles</a>, solo por debajo de Starlette y Uvicorn (utilizados internamente por FastAPI). (*)
    
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  3. docs/en/docs/benchmarks.md

    # Benchmarks
    
    Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">one of the fastest Python frameworks available</a>, only below Starlette and Uvicorn themselves (used internally by FastAPI).
    
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  4. docs/en/docs/tutorial/middleware.md

    middlewares in the [Advanced User Guide: Advanced Middleware](../advanced/middleware.md){.internal-link target=_blank}.
    
    You will read about how to handle <abbr title="Cross-Origin Resource Sharing">CORS</abbr> with a middleware in the next section....
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  5. docs/en/docs/advanced/dataclasses.md

        As always, in FastAPI you can combine `def` and `async def` as needed.
    
        If you need a refresher about when to use which, check out the section _"In a hurry?"_ in the docs about [`async` and `await`](../async.md#in-a-hurry){.internal-link target=_blank}.
    
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  6. docs/fr/docs/history-design-future.md

    Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.
    
    L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.
    
    Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :
    
    <blockquote markdown="1">
    
    **FastAPI** n'existerait pas sans le travail antérieur d'autres personnes.
    
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  7. docs/tr/docs/external-links.md

    {% for section_name, section_content in external_links.items() %}
    
    ## {{ section_name }}
    
    {% for lang_name, lang_content in section_content.items() %}
    
    ### {{ lang_name }}
    
    {% for item in lang_content %}
    
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  8. docs/tr/docs/benchmarks.md

    # Kıyaslamalar
    
    Bağımsız TechEmpower kıyaslamaları gösteriyor ki <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">en hızlı Python frameworklerinden birisi</a> olan Uvicorn ile çalıştırılan **FastAPI** uygulamaları, sadece Starlette ve Uvicorn'dan daha düşük sıralamada (FastAPI bu frameworklerin üzerine kurulu) yer alıyor. (*)
    
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  9. docs/en/docs/advanced/templates.md

    ```html
    Item ID: 42
    ```
    
    ### Template `url_for` Arguments
    
    You can also use `url_for()` inside of the template, it takes as arguments the same arguments that would be used by your *path operation function*.
    
    So, the section with:
    
    {% raw %}
    
    ```jinja
    <a href="{{ url_for('read_item', id=id) }}">
    ```
    
    {% endraw %}
    
    ...will generate a link to the same URL that would be handled by the *path operation function* `read_item(id=id)`.
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  10. docs/en/docs/tutorial/index.md

    # Tutorial - User Guide
    
    This tutorial shows you how to use **FastAPI** with most of its features, step by step.
    
    Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs.
    
    It is also built to work as a future reference.
    
    So you can come back and see exactly what you need.
    
    ## Run the code
    
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