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  1. docs/pt/docs/deployment/docker.md

    ---> 100%
    Successfully installed fastapi pydantic uvicorn
    ```
    
    </div>
    
    !!! info
        Há outros formatos e ferramentas para definir e instalar dependências de pacote.
    
        Eu vou mostrar um exemplo depois usando Poetry em uma seção abaixo. 👇
    
    ### Criando o Código do **FastAPI**
    
    * Crie um diretório `app` e entre nele.
    * Crie um arquivo vazio `__init__.py`.
    * Crie um arquivo `main.py` com:
    
    ```Python
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  2. docs/en/docs/deployment/docker.md

    For example:
    
    * With **Docker Compose** in a single server
    * With a **Kubernetes** cluster
    * With a Docker Swarm Mode cluster
    * With another tool like Nomad
    * With a cloud service that takes your container image and deploys it
    
    ## Docker Image with Poetry
    
    If you use <a href="https://python-poetry.org/" class="external-link" target="_blank">Poetry</a> to manage your project's dependencies, you could use Docker multi-stage building:
    
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