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  1. docs/en/docs/img/deployment/https/https01.drawio

                    </mxCell>
                    <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1">
                        <mxGeometry width="500" height="350" as="geometry"/>
                    </mxCell>
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  2. docs/en/docs/tutorial/first-steps.md

    #### Define a *path operation decorator*
    
    ```Python hl_lines="6"
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:
    
    * the path `/`
    * using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>
    
    !!! info "`@decorator` Info"
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  3. fastapi/utils.py

        new_field.post_validators = field.post_validators  # type: ignore[attr-defined]
        new_field.parse_json = field.parse_json  # type: ignore[attr-defined]
        new_field.shape = field.shape  # type: ignore[attr-defined]
        new_field.populate_validators()  # type: ignore[attr-defined]
        return new_field
    
    
    def generate_operation_id_for_path(
        *, name: str, path: str, method: str
    Python
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  4. docs/fr/docs/project-generation.md

    * **PGAdmin** pour les bases de données PostgreSQL, facilement modifiable pour utiliser PHPMYAdmin ou MySQL.
    * **Flower** pour la surveillance de tâches Celery.
    * Équilibrage de charge entre le frontend et le backend avec **Traefik**, afin de pouvoir avoir les deux sur le même domaine, séparés par chemins, mais servis par différents conteneurs.
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  5. docs/en/docs/tutorial/response-model.md

    * Add a **JSON Schema** for the response, in the OpenAPI *path operation*.
        * This will be used by the **automatic docs**.
        * It will also be used by automatic client code generation tools.
    
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  6. docs/en/docs/deployment/concepts.md

    We also saw that HTTPS is normally provided by a component **external** to your application server, a **TLS Termination Proxy**.
    
    And there has to be something in charge of **renewing the HTTPS certificates**, it could be the same component or it could be something different.
    
    ### Example Tools for HTTPS
    
    Some of the tools you could use as a TLS Termination Proxy are:
    
    * Traefik
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  7. LICENSE

    The MIT License (MIT)
    
    Copyright (c) 2018 Sebastián Ramírez
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
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  8. docs/en/docs/tutorial/security/oauth2-jwt.md

    ```
    
    </div>
    
    !!! tip
        With `passlib`, you could even configure it to be able to read passwords created by **Django**, a **Flask** security plug-in or many others.
    
        So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.
    
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  9. docs/en/docs/tutorial/bigger-applications.md

    ```Python hl_lines="14-17" title="app/main.py"
    {!../../../docs_src/bigger_applications/app/main.py!}
    ```
    
    That way, the original `APIRouter` will keep unmodified, so we can still share that same `app/internal/admin.py` file with other projects in the organization.
    
    The result is that in our app, each of the *path operations* from the `admin` module will have:
    
    * The prefix `/admin`.
    * The tag `admin`.
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  10. docs/en/docs/python-types.md

    ## Pydantic models
    
    <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.
    
    You declare the "shape" of the data as classes with attributes.
    
    And each attribute has a type.
    
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