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  1. docs/tr/docs/alternatives.md

    /// check | "**FastAPI**'a nasıl ilham verdi?"
    
    API spesifikasyonları için özel bir şema yerine bir <abbr title="Open Standard: Açık Standart, Açık kaynak olarak yayınlanan standart">açık standart</abbr> benimseyip kullanmalı.
    
    Ayrıca standarda bağlı kullanıcı arayüzü araçlarını entegre etmeli:
    
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  2. docs/tr/docs/python-types.md

    Az önce tip belirteçlerinin en çok kullanıldığı yeri gördünüz.
    
     **FastAPI**ile çalışırken tip belirteçlerini en çok kullanacağımız yer yine fonksiyonlardır.
    
    ### Basit tipler
    
    Yalnızca `str` değil, tüm standart Python tiplerinin bildirebilirsiniz.
    
    Örneğin şunları kullanabilirsiniz:
    
    * `int`
    * `float`
    * `bool`
    * `bytes`
    
    ```Python hl_lines="1"
    {!../../docs_src/python_types/tutorial005.py!}
    ```
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  3. docs/az/docs/index.md

    Ümumiləşdirsək, parametrlər, gövdə və s. Biz məlumat növlərini **bir dəfə** funksiya parametrləri kimi təyin edirik.
    
    Bunu standart müasir Python tipləri ilə edirsiniz.
    
    Yeni sintaksis, müəyyən bir kitabxananın metodlarını və ya siniflərini və s. öyrənmək məcburiyyətində deyilsiniz.
    
    Sadəcə standart **Python**.
    
    Məsələn, `int` üçün:
    
    ```Python
    item_id: int
    ```
    
    və ya daha mürəkkəb `Item` modeli üçün:
    
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  4. docs/tr/docs/tutorial/path-params.md

    ```JSON
    {"item_id":"foo"}
    ```
    
    ## Tip İçeren Yol Parametreleri
    
    Standart Python tip belirteçlerini kullanarak yol parametresinin tipini fonksiyonun içerisinde tanımlayabilirsiniz.
    
    ```Python hl_lines="7"
    {!../../docs_src/path_params/tutorial002.py!}
    ```
    
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  5. docs/de/docs/advanced/dataclasses.md

    In diesem Fall können Sie einfach die Standard-`dataclasses` durch `pydantic.dataclasses` ersetzen, was einen direkten Ersatz darstellt:
    
    ```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
    {!../../docs_src/dataclasses/tutorial003.py!}
    ```
    
    1. Wir importieren `field` weiterhin von Standard-`dataclasses`.
    
    2. `pydantic.dataclasses` ist ein direkter Ersatz für `dataclasses`.
    
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  6. docs/en/docs/advanced/dataclasses.md

    In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:
    
    ```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
    {!../../docs_src/dataclasses/tutorial003.py!}
    ```
    
    1. We still import `field` from standard `dataclasses`.
    
    2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.
    
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  7. pyproject.toml

    [project.optional-dependencies]
    
    standard = [
        "fastapi-cli[standard] >=0.0.5",
        # For the test client
        "httpx >=0.23.0",
        # For templates
        "jinja2 >=2.11.2",
        # For forms and file uploads
        "python-multipart >=0.0.7",
        # To validate email fields
        "email-validator >=2.0.0",
        # Uvicorn with uvloop
        "uvicorn[standard] >=0.12.0",
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  8. docs/en/docs/tutorial/extra-data-types.md

            * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
    * `bytes`:
        * Standard Python `bytes`.
        * In requests and responses will be treated as `str`.
        * The generated schema will specify that it's a `str` with `binary` "format".
    * `Decimal`:
        * Standard Python `Decimal`.
        * In requests and responses, handled the same as a `float`.
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  9. README.md

    * `fastapi-cli` - to provide the `fastapi` command.
    
    ### Without `standard` Dependencies
    
    If you don't want to include the `standard` optional dependencies, you can install with `pip install fastapi` instead of `pip install "fastapi[standard]"`.
    
    ### Additional Optional Dependencies
    
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  10. docs/en/docs/tutorial/encoder.md

    The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.
    
    It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.
    
    /// note
    
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