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  1. docs/en/docs/css/termynal.css

    }
    
    [data-termynal]:before {
        content: '';
        position: absolute;
        top: 15px;
        left: 15px;
        display: inline-block;
        width: 15px;
        height: 15px;
        border-radius: 50%;
        /* A little hack to display the window buttons in one pseudo element. */
        background: #d9515d;
        -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
                box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
    }
    
    CSS
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  2. docs/en/docs/tutorial/index.md

    </pre>
    ```
    
    </div>
    
    It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.
    
    Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.
    
    ---
    
    ## Install FastAPI
    
    The first step is to install FastAPI:
    
    <div class="termy">
    
    ```console
    $ pip install fastapi
    
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  3. docs/en/docs/deployment/server-workers.md

    From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:
    
    * **Security - HTTPS**
    * **Running on startup**
    * ***Restarts***
    * Replication (the number of processes running)
    * **Memory**
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  4. docs/en/docs/deployment/manually.md

    ```
    
    </div>
    
    That would work for most of the cases. 😎
    
    You could use that command for example to start your **FastAPI** app in a container, in a server, etc.
    
    ## ASGI Servers
    
    Let's go a little deeper into the details.
    
    FastAPI uses a standard for building Python web frameworks and servers called <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>. FastAPI is an ASGI web framework.
    
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  5. docs/en/docs/deployment/docker.md

    This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).
    
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  6. docs/en/docs/deployment/concepts.md

    If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc.
    
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  7. docs/en/docs/index.md

    **Typer** is FastAPI's little sibling. And it's intended to be the **FastAPI of CLIs**. ⌨️ 🚀
    
    ## Requirements
    
    FastAPI stands on the shoulders of giants:
    
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  8. docs/en/docs/python-types.md

    This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.
    
    **FastAPI** is all based on these type hints, they give it many advantages and benefits.
    
    But even if you never use **FastAPI**, you would benefit from learning a bit about them.
    
    !!! note
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  9. docs/en/docs/async.md

    Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.
    
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  10. docs/en/docs/alternatives.md

    It doesn't use a data validation, serialization and documentation third-party library like Pydantic, it has its own. So, these data type definitions would not be reusable as easily.
    
    It requires a little bit more verbose configurations. And as it is based on WSGI (instead of ASGI), it is not designed to take advantage of the high performance provided by tools like Uvicorn, Starlette and Sanic.
    
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