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  1. docs/tr/docs/python-types.md

    {!../../../docs_src/python_types/tutorial009.py!}
    ```
    
    `str` yerine `Optional[str]` kullanmak editorün bu değerin her zaman `str` tipinde değil bazen `None` tipinde de olabileceğini belirtir ve hataları tespit etmemizde yardımcı olur.
    
    #### Generic tipler
    
    Köşeli parantez içinde tip parametreleri alan bu türler, örneğin:
    
    * `List`
    * `Tuple`
    * `Set`
    * `Dict`
    * `Optional`
    * ...and others.
    
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  2. docs/tr/docs/tutorial/first-steps.md

    Burada "yol" bağlantıda bulunan ilk `/` ile başlayan ve sonrasında gelen kısmı ifade eder.
    
    Yani, şu şekilde bir bağlantıda:
    
    ```
    https://example.com/items/foo
    ```
    
    ... yol şöyle olur:
    
    ```
    /items/foo
    ```
    
    !!! info "Bilgi"
        "Yol" genellikle "<abbr title="Endpoint: Bitim Noktası">endpoint</abbr>" veya "<abbr title="Route: Yönlendirme/Yön">route</abbr>" olarak adlandırılır.
    
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  3. docs/en/docs/tutorial/security/get-current-user.md

    Remember that dependencies can have sub-dependencies?
    
    `get_current_user` will have a dependency with the same `oauth2_scheme` we created before.
    
    The same as we were doing before in the *path operation* directly, our new dependency `get_current_user` will receive a `token` as a `str` from the sub-dependency `oauth2_scheme`:
    
    === "Python 3.10+"
    
        ```Python hl_lines="25"
        {!> ../../../docs_src/security/tutorial002_an_py310.py!}
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  4. docs/en/docs/tutorial/response-model.md

        E.g. `pip install email-validator`
        or `pip install pydantic[email]`.
    
    And we are using this model to declare our input and the same model to declare our output:
    
    === "Python 3.10+"
    
        ```Python hl_lines="16"
        {!> ../../../docs_src/response_model/tutorial002_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="18"
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  5. docs/en/docs/advanced/testing-database.md

    ```Python hl_lines="16"
    {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
    ```
    
    ## Dependency override
    
    Now we create the dependency override and add it to the overrides for our app.
    
    ```Python hl_lines="19-24  27"
    {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
    ```
    
    !!! tip
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  6. docs/en/docs/tutorial/first-steps.md

        You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).
    
        A "decorator" takes the function below and does something with it.
    
        In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`.
    
        It is the "**path operation decorator**".
    
    You can also use the other operations:
    
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  7. docs/pl/docs/index.md

    ---
    
    "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
    
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  8. docs/it/docs/index.md

    ---
    
    "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
    
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  9. docs/en/docs/advanced/behind-a-proxy.md

    So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.
    
    Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`.
    
    ```mermaid
    graph LR
    
    browser("Browser")
    proxy["Proxy on http://0.0.0.0:9999/api/v1/app"]
    server["Server on http://127.0.0.1:8000/app"]
    
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  10. docs/en/docs/how-to/nosql-databases-couchbase.md

    {!../../../docs_src/nosql_databases/tutorial001.py!}
    ```
    
    We will use this model in our *path operation function*, so, we don't include in it the `hashed_password`.
    
    ### `UserInDB` model
    
    Now, let's create a `UserInDB` model.
    
    This will have the data that is actually stored in the database.
    
    We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more:
    
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