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  1. docs/en/docs/benchmarks.md

    * **Starlette**:
        * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
        * But it provides you the tools to build simple web applications, with routing based on paths, etc.
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  2. fastapi/utils.py

        operation_id = f"{operation_id}_{method.lower()}"
        return operation_id
    
    
    def generate_unique_id(route: "APIRoute") -> str:
        operation_id = f"{route.name}{route.path_format}"
        operation_id = re.sub(r"\W", "_", operation_id)
        assert route.methods
        operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
        return operation_id
    
    
    Python
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  3. docs/de/docs/project-generation.md

    * **PGAdmin** für die PostgreSQL-Datenbank, können Sie problemlos ändern, sodass PHPMyAdmin und MySQL verwendet wird.
    * **Flower** für die Überwachung von Celery-Jobs.
    * Load Balancing zwischen Frontend und Backend mit **Traefik**, sodass Sie beide unter derselben Domain haben können, getrennt durch den Pfad, aber von unterschiedlichen Containern ausgeliefert.
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  4. docs/en/docs/deployment/manually.md

        ```
    
        </div>
    
    === "Hypercorn"
    
        <div class="termy">
    
        ```console
        $ hypercorn main:app --bind 0.0.0.0:80
    
        Running on 0.0.0.0:8080 over http (CTRL + C to quit)
        ```
    
        </div>
    
    !!! note
        The command `uvicorn main:app` refers to:
    
        * `main`: the file `main.py` (the Python "module").
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  5. docs/es/docs/tutorial/index.md

    Funciona también como una referencia futura, para que puedas volver y ver exactamente lo que necesitas.
    
    ## Ejecuta el código
    
    Todos los bloques de código se pueden copiar y usar directamente (en realidad son archivos Python probados).
    
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