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  1. docs/es/docs/async.md

    Imagina que eres el sistema / programa 🤖 en esa historia.
    
    Mientras estás en la cola, estás quieto 😴, esperando tu turno, sin hacer nada muy "productivo". Pero la línea va rápida porque el cajero 💁 solo recibe los pedidos (no los prepara), así que está bien.
    
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  2. docs/en/docs/async.md

    Imagine you are the computer / program 🤖 in that story.
    
    While you are at the line, you are just idle 😴, waiting for your turn, not doing anything very "productive". But the line is fast because the cashier is only taking the orders (not preparing them), so that's fine.
    
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  3. docs/en/docs/deployment/manually.md

     │                          │
     ╰──────────────────────────╯
    
    <font color="#3465A4">INFO    </font> Using import string <font color="#8AE234"><b>main:app</b></font>
    
     <font color="#4E9A06">╭─────────── FastAPI CLI - Production mode ───────────╮</font>
     <font color="#4E9A06">│                                                     │</font>
     <font color="#4E9A06">│  Serving at: http://0.0.0.0:8000                    │</font>
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  4. docs/en/docs/fastapi-cli.md

    For production you would use `fastapi run` instead. 🚀
    
    Internally, **FastAPI CLI** uses <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, a high-performance, production-ready, ASGI server. 😎
    
    ## `fastapi dev`
    
    When you run `fastapi dev`, it will run on development mode.
    
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  5. docs/en/docs/advanced/websockets.md

    First you need to install `WebSockets`:
    
    <div class="termy">
    
    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets client
    
    ### In production
    
    In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.
    
    And to communicate using WebSockets with your backend you would probably use your frontend's utilities.
    
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  6. docs/en/docs/index.md

    </p>
    <p align="center">
        FastAPI framework, high performance, easy to learn, fast to code, ready for production
    </p>
    <p align="center">
    <a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
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  7. fastapi/__init__.py

    """FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
    
    __version__ = "0.111.0"
    
    from starlette import status as status
    
    from .applications import FastAPI as FastAPI
    from .background import BackgroundTasks as BackgroundTasks
    from .datastructures import UploadFile as UploadFile
    from .exceptions import HTTPException as HTTPException
    from .exceptions import WebSocketException as WebSocketException
    Python
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  8. docs/en/docs/how-to/async-sql-encode-databases.md

    * PostgreSQL
    * MySQL
    * SQLite
    
    In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.
    
    Later, for your production application, you might want to use a database server like **PostgreSQL**.
    
    !!! tip
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  9. docs/pt/docs/async.md

    Imagine que você seja o computador  / programa nessa história.
    
    Enquanto você está na fila, tranquilo, esperando por sua vez, não está fazendo nada "produtivo". Mas a fila é rápida porquê o caixa só está pegando os pedidos, então está tudo bem.
    
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  10. docs/fr/docs/index.md

    </p>
    <p align="center">
        Framework FastAPI, haute performance, facile à apprendre, rapide à coder, prêt pour la production
    </p>
    <p align="center">
    <a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
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