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  1. docs/en/docs/deployment/concepts.md

    In that case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).
    
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  2. docs/en/docs/release-notes.md

    ### Docs
    
    * ✏ Tweak wording to clarify `docs/en/docs/project-generation.md`. PR [#5930](https://github.com/tiangolo/fastapi/pull/5930) by [@chandra-deb](https://github.com/chandra-deb).
    * ✏ Update Pydantic GitHub URLs. PR [#5952](https://github.com/tiangolo/fastapi/pull/5952) by [@yezz123](https://github.com/yezz123).
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  3. docs/tr/docs/alternatives.md

        Uvicorn ve Starlette'e ilham kaynağı olduğu oldukça açık, şu anda ikisi de açık karşılaştırmalarda Sanicten daha hızlı gözüküyor.
    
    !!! check "**FastAPI**'a nasıl ilham oldu?"
        Uçuk performans sağlayacak bir yol bulmalı.
    
        Tam da bu yüzden **FastAPI** Starlette'e dayanıyor, çünkü Starlette şu anda kullanılabilir en hızlı framework. (üçüncü parti karşılaştırmalı testlerine göre)
    
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  4. docs/en/docs/tutorial/path-params-numeric-validations.md

        ```
    
    ## Order the parameters as you need, tricks
    
    !!! tip
        This is probably not as important or necessary if you use `Annotated`.
    
    Here's a **small trick** that can be handy, but you won't need it often.
    
    If you want to:
    
    * declare the `q` query parameter without a `Query` nor any default value
    * declare the path parameter `item_id` using `Path`
    * have them in a different order
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  5. docs/en/docs/tutorial/path-params.md

    ## Pydantic
    
    All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands.
    
    You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.
    
    Several of these are explored in the next chapters of the tutorial.
    
    ## Order matters
    
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  6. docs/en/docs/alternatives.md

    Without a data validation system, you would have to do all the checks by hand, in code.
    
    These features are what Marshmallow was built to provide. It is a great library, and I have used it a lot before.
    
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  7. docs/id/docs/tutorial/index.md

    Tetapi kamu harus membaca terlebih dahulu **Tutorial - Pedoman Pengguna** (apa yang sedang kamu baca sekarang).
    
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  8. docs/tr/docs/tutorial/path-params.md

    ## Pydantic
    
    Tüm veri doğrulamaları <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> tarafından arka planda gerçekleştirilir, bu sayede tüm avantajlardan faydalanabilirsiniz. Böylece, emin ellerde olduğunuzu hissedebilirsiniz.
    
    Aynı tip tanımlamalarını `str`, `float`, `bool` ve diğer karmaşık veri tipleri ile kullanma imkanınız vardır.
    
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  9. docs/tr/docs/tutorial/query-params.md

    
    ## Çoklu Yol ve Sorgu Parametreleri
    
    **FastAPI** neyin ne olduğunu ayırt edebileceğinden dolayı aynı anda birden fazla yol ve sorgu parametresi tanımlayabilirsiniz.
    
    Ve parametreleri, herhangi bir sıraya koymanıza da gerek yoktur.
    
    İsimlerine göre belirleneceklerdir:
    
    === "Python 3.10+"
    
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  10. docs/pt/docs/tutorial/security/first-steps.md

    Então, vamos rever de um ponto de vista simplificado:
    
    * O usuário digita o `username` e a `senha` no frontend e aperta `Enter`.
    * O frontend (rodando no browser do usuário) manda o `username` e a `senha` para uma URL específica na sua API (declarada com `tokenUrl="token"`).
    * A API checa aquele `username` e `senha`, e responde com um "token" (nós não implementamos nada disso ainda).
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