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  1. docs/fr/docs/external-links.md

    {% endfor %}
    {% endfor %}
    {% endfor %}
    
    ## Projets
    
    Les projets Github avec le topic `fastapi` les plus récents :
    
    <div class="github-topic-projects">
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  2. docs/fr/docs/tutorial/debugging.md

    Ainsi, la ligne :
    
    ```Python
        uvicorn.run(app, host="0.0.0.0", port=8000)
    ```
    
    ne sera pas exécutée.
    
    !!! info
    Pour plus d'informations, consultez <a href="https://docs.python.org/3/library/__main__.html" class="external-link" target="_blank">la documentation officielle de Python</a>.
    
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  3. docs/en/docs/tutorial/security/first-steps.md

    * The frontend needs to fetch some more data from the API.
        * But it needs authentication for that specific endpoint.
        * So, to authenticate with our API, it sends a header `Authorization` with a value of `Bearer ` plus the token.
        * If the token contains `foobar`, the content of the `Authorization` header would be: `Bearer foobar`.
    
    ## **FastAPI**'s `OAuth2PasswordBearer`
    
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  4. docs/en/docs/how-to/nosql-databases-couchbase.md

    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:
    
    ```Python hl_lines="31-33"
    {!../../../docs_src/nosql_databases/tutorial001.py!}
    ```
    
    !!! note
        Notice that we have a `hashed_password` and a `type` field that will be stored in the database.
    
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  5. docs/en/docs/tutorial/security/oauth2-jwt.md

    !!! tip
        This tutorial previously used <a href="https://pyjwt.readthedocs.io/" class="external-link" target="_blank">PyJWT</a>.
    
        But it was updated to use Python-jose instead as it provides all the features from PyJWT plus some extras that you might need later when building integrations with other tools.
    
    ## Password hashing
    
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  6. docs/en/docs/deployment/concepts.md

    And, for example, you will probably see that there are multiple processes running the same browser program (Firefox, Chrome, Edge, etc). They normally run one process per tab, plus some other extra processes.
    
    <img class="shadow" src="/img/deployment/concepts/image01.png">
    
    ---
    
    Now that we know the difference between the terms **process** and **program**, let's continue talking about deployments.
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  7. docs/en/docs/release-notes.md

    * 🎨 Format OpenAPI JSON in `test_starlette_exception.py`. PR [#5379](https://github.com/tiangolo/fastapi/pull/5379) by [@iudeen](https://github.com/iudeen).
    * 👷 Switch from Codecov to Smokeshow plus pytest-cov to pure coverage for internal tests. PR [#5583](https://github.com/tiangolo/fastapi/pull/5583) by [@tiangolo](https://github.com/tiangolo).
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  8. docs/fr/docs/fastapi-people.md

    Une salve d'applaudissements pour eux. 👏 🙇
    
    ## Utilisateurs les plus actifs le mois dernier
    
    Ce sont les utilisateurs qui ont [aidé le plus les autres avec des problèmes (questions) dans GitHub](help-fastapi.md#aider-les-autres-a-resoudre-les-problemes-dans-github){.internal-link target=_blank} au cours du dernier mois. ☕
    
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  9. docs/fr/docs/features.md

    Dans le dernier sondage effectué auprès de développeurs python il était clair que <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">la fonctionnalité la plus utilisée est "l’autocomplétion"</a>.
    
    Tout le framework **FastAPI** a été conçu avec cela en tête. L'autocomplétion fonctionne partout.
    
    Vous devrez rarement revenir à la documentation.
    
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  10. docs/fr/docs/tutorial/background-tasks.md

    traitements aient lieu dans le même process (par exemple, pas besoin de partager la mémoire, les variables, etc.), il peut s'avérer profitable d'utiliser des outils plus importants tels que <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.
    
    Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan dans différents process,...
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