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  1. README.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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  2. docs/en/docs/tutorial/header-params.md

    !!! info
        To declare headers, you need to use `Header`, because otherwise the parameters would be interpreted as query parameters.
    
    ## Automatic conversion
    
    `Header` has a little extra functionality on top of what `Path`, `Query` and `Cookie` provide.
    
    Most of the standard headers are separated by a "hyphen" character, also known as the "minus symbol" (`-`).
    
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  3. 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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  4. docs/en/docs/tutorial/path-params-numeric-validations.md

    * declare the `q` query parameter without a `Query` nor any default value
    * declare the path parameter `item_id` using `Path`
    * have them in a different order
    * not use `Annotated`
    
    ...Python has a little special syntax for that.
    
    Pass `*`, as the first parameter of the function.
    
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  5. 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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  6. 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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  7. 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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