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  1. docs/fr/docs/deployment/docker.md

    Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.
    
    Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :
    
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  2. docs/ru/docs/deployment/docker.md

    ## Образы контейнеров
    
    Docker является одним оз основных инструментов для создания **образов** и  **контейнеров** и управления ими.
    
    Существует общедоступный <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> с подготовленными **официальными образами** многих инструментов, окружений, баз данных и приложений.
    
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  3. docs/fr/docs/project-generation.md

    ### Full Stack FastAPI PostgreSQL - Fonctionnalités
    
    * Intégration **Docker** complète (basée sur Docker).
    * Déploiement Docker en mode <a href="https://docs.docker.com/engine/swarm/" class="external-link" target="_blank">Swarm</a>
    * Intégration **Docker Compose** et optimisation pour développement local.
    * Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.
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  4. docs/de/docs/project-generation.md

    ### Full Stack FastAPI PostgreSQL – Funktionen
    
    * Vollständige **Docker**-Integration (Docker-basiert).
    * Docker-Schwarmmodus-Deployment.
    * **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
    * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
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  5. docs/pt/docs/project-generation.md

    ### Full Stack FastAPI PostgreSQL - Recursos
    
    * Integração completa **Docker**.
    * Modo de implantação Docker Swarm.
    * Integração e otimização **Docker Compose** para desenvolvimento local.
    * **Pronto para Produção** com servidor _web_ usando Uvicorn e Gunicorn.
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  6. docs/ru/docs/deployment/concepts.md

    !!! tip "Заметка"
        Если вы не знаете, что такое **контейнеры**, Docker или Kubernetes, не переживайте.
    
        Я поведаю Вам о контейнерах, образах, Docker, Kubernetes и т.п. в главе: [FastAPI внутри контейнеров - Docker](docker.md){.internal-link target=_blank}.
    
    ## Шаги, предшествующие запуску
    
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  7. docs/az/docs/fastapi-people.md

    ---
    
    # FastAPI İnsanlar
    
    FastAPI-ın bütün mənşəli insanları qəbul edən heyrətamiz icması var.
    
    
    
    ## Yaradıcı - İcraçı
    
    Salam! 👋
    
    Bu mənəm:
    
    {% if people %}
    <div class="user-list user-list-center">
    {% for user in people.maintainers %}
    
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  8. docs/tr/docs/fastapi-people.md

    ---
    
    # FastAPI Topluluğu
    
    FastAPI, her kökenden insanı ağırlayan harika bir topluluğa sahip.
    
    ## Yazan - Geliştiren
    
    Merhaba! 👋
    
    İşte bu benim:
    
    {% if people %}
    <div class="user-list user-list-center">
    {% for user in people.maintainers %}
    
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  9. docs/ja/docs/deployment/concepts.md

    !!! tip
        これらの**コンテナ**やDockerそしてKubernetesに関する項目が、まだあまり意味をなしていなくても心配しないでください。
        <!-- NOTE: the current version of docker.md is outdated compared to English one. -->
    
        コンテナ・イメージ、Docker、Kubernetesなどについては、次の章で詳しく説明します: [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}.
    
    ## 開始前の事前のステップ
    
    アプリケーションを**開始する前**に、いくつかのステップを実行したい場合が多くあります。
    
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  10. docs/en/docs/advanced/dataclasses.md

    So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.
    
    And of course, it supports the same:
    
    * data validation
    * data serialization
    * data documentation, etc.
    
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