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  1. docs/en/docs/tutorial/first-steps.md

    You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.
    
    ## Recap, step by step
    
    ### Step 1: import `FastAPI`
    
    {* ../../docs_src/first_steps/tutorial001.py hl[1] *}
    
    `FastAPI` is a Python class that provides all the functionality for your API.
    
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  2. docs/en/docs/tutorial/background-tasks.md

    But if you need to access variables and objects from the same **FastAPI** app, or you need to perform small background tasks (like sending an email notification), you can simply just use `BackgroundTasks`.
    
    ## Recap
    
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  3. docs/en/docs/tutorial/body-multiple-params.md

            "tax": 3.2
        }
    }
    ```
    
    instead of:
    
    ```JSON
    {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    }
    ```
    
    ## Recap
    
    You can add multiple body parameters to your *path operation function*, even though a request can only have a single body.
    
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  4. docs/en/docs/tutorial/body-updates.md

    ```
    
    ////
    
    //// tab | Python 3.8+
    
    ```Python hl_lines="35"
    {!> ../../docs_src/body_updates/tutorial002.py!}
    ```
    
    ////
    
    ### Partial updates recap
    
    In summary, to apply partial updates you would:
    
    * (Optionally) use `PATCH` instead of `PUT`.
    * Retrieve the stored data.
    * Put that data in a Pydantic model.
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  5. docs/en/docs/tutorial/extra-models.md

    {!> ../../docs_src/extra_models/tutorial005_py39.py!}
    ```
    
    ////
    
    //// tab | Python 3.8+
    
    ```Python hl_lines="1  8"
    {!> ../../docs_src/extra_models/tutorial005.py!}
    ```
    
    ////
    
    ## Recap
    
    Use multiple Pydantic models and inherit freely for each case.
    
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  6. docs/en/docs/tutorial/path-params-numeric-validations.md

    /// tip
    
    Prefer to use the `Annotated` version if possible.
    
    ///
    
    ```Python hl_lines="11"
    {!> ../../docs_src/path_params_numeric_validations/tutorial006.py!}
    ```
    
    ////
    
    ## Recap
    
    With `Query`, `Path` (and others you haven't seen yet) you can declare metadata and string validations in the same ways as with [Query Parameters and String Validations](query-params-str-validations.md){.internal-link target=_blank}.
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  7. docs/en/docs/tutorial/request-files.md

    /// tip
    
    Prefer to use the `Annotated` version if possible.
    
    ///
    
    ```Python hl_lines="11  18"
    {!> ../../docs_src/request_files/tutorial003.py!}
    ```
    
    ////
    
    ## Recap
    
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  8. docs/en/docs/tutorial/security/get-current-user.md

    /// tip
    
    Prefer to use the `Annotated` version if possible.
    
    ///
    
    ```Python hl_lines="30-32"
    {!> ../../docs_src/security/tutorial002.py!}
    ```
    
    ////
    
    ## Recap
    
    You can now get the current user directly in your *path operation function*.
    
    We are already halfway there.
    
    We just need to add a *path operation* for the user/client to actually send the `username` and `password`.
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  9. docs/en/docs/tutorial/security/first-steps.md

    You can try it already in the interactive docs:
    
    <img src="/img/tutorial/security/image03.png">
    
    We are not verifying the validity of the token yet, but that's a start already.
    
    ## Recap
    
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  10. docs/en/docs/deployment/server-workers.md

    I'll show you how to **build your own image from scratch** to run a single Uvicorn process. It is a simple process and is probably what you would want to do when using a distributed container management system like **Kubernetes**.
    
    ## Recap
    
    You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.
    
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