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  1. docs/de/docs/advanced/openapi-callbacks.md

    Das einzig Neue ist `callbacks=invoices_callback_router.routes` als Argument für den *Pfadoperation-Dekorator*. Wir werden als Nächstes sehen, was das ist.
    
    ## Dokumentation des Callbacks
    
    Der tatsächliche Callback-Code hängt stark von Ihrer eigenen API-Anwendung ab.
    
    Und er wird wahrscheinlich von Anwendung zu Anwendung sehr unterschiedlich sein.
    
    Es könnten nur eine oder zwei Codezeilen sein, wie zum Beispiel:
    
    ```Python
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  2. docs/de/docs/tutorial/security/index.md

    Das ist es, was alle diese „Login mit Facebook, Google, Twitter, GitHub“-Systeme unter der Haube verwenden.
    
    ### OAuth 1
    
    Es gab ein OAuth 1, das sich stark von OAuth2 unterscheidet und komplexer ist, da es direkte Spezifikationen enthält, wie die Kommunikation verschlüsselt wird.
    
    Heutzutage ist es nicht sehr populär und wird kaum verwendet.
    
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  3. docs/en/docs/advanced/events.md

    There's a high chance that the logic for your *startup* and *shutdown* is connected, you might want to start something and then finish it, acquire a resource and then release it, etc.
    
    Doing that in separated functions that don't share logic or variables together is more difficult as you would need to store values in global variables or similar tricks.
    
    Because of that, it's now recommended to instead use the `lifespan` as explained above.
    
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  4. docs/en/docs/tutorial/path-params-numeric-validations.md

    * `lt`: `l`ess `t`han
    * `le`: `l`ess than or `e`qual
    
    !!! info
        `Query`, `Path`, and other classes you will see later are subclasses of a common `Param` class.
    
        All of them share the same parameters for additional validation and metadata you have seen.
    
    !!! note "Technical Details"
        When you import `Query`, `Path` and others from `fastapi`, they are actually functions.
    
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  5. docs/en/docs/tutorial/background-tasks.md

    ## Caveat
    
    If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.
    
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