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  1. docs/en/docs/deployment/https.md

    * Certificates have a **lifetime**.
        * They **expire**.
        * And then they need to be **renewed**, **acquired again** from the third party.
    * The encryption of the connection happens at the **TCP level**.
        * That's one layer **below HTTP**.
        * So, the **certificate and encryption** handling is done **before HTTP**.
    * **TCP doesn't know about "domains"**. Only about IP addresses.
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  2. docs/en/docs/advanced/using-request-directly.md

    But there are situations where you might need to access the `Request` object directly.
    
    ## Details about the `Request` object
    
    As **FastAPI** is actually **Starlette** underneath, with a layer of several tools on top, you can use Starlette's <a href="https://www.starlette.io/requests/" class="external-link" target="_blank">`Request`</a> object directly when you need to.
    
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  3. docs/en/docs/tutorial/dependencies/global-dependencies.md

    ## Dependencies for groups of *path operations*
    
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  4. docs/en/docs/tutorial/security/first-steps.md

        * A "token" is just a string with some content that we can use later to verify this user.
        * Normally, a token is set to expire after some time.
            * So, the user will have to log in again at some point later.
            * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
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  5. docs/en/docs/tutorial/security/oauth2-jwt.md

        But it was updated to use Python-jose instead as it provides all the features from PyJWT plus some extras that you might need later when building integrations with other tools.
    
    ## Password hashing
    
    "Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.
    
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  6. docs/en/docs/how-to/async-sql-encode-databases.md

    It is compatible with:
    
    * 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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  7. docs/en/docs/how-to/nosql-databases-couchbase.md

    For now, don't pay attention to the rest, only the imports:
    
    ```Python hl_lines="3-5"
    {!../../../docs_src/nosql_databases/tutorial001.py!}
    ```
    
    ## Define a constant to use as a "document type"
    
    We will use it later as a fixed field `type` in our documents.
    
    This is not required by Couchbase, but is a good practice that will help you afterwards.
    
    ```Python hl_lines="9"
    {!../../../docs_src/nosql_databases/tutorial001.py!}
    ```
    
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  8. docs/en/docs/deployment/concepts.md

        * One Uvicorn **process manager** would listen on the **IP** and **port**, and it would start **multiple Uvicorn worker processes**.
    * **Kubernetes** and other distributed **container systems**
        * Something in the **Kubernetes** layer would listen on the **IP** and **port**. The replication would be by having **multiple containers**, each with **one Uvicorn process** running.
    * **Cloud services** that handle this for you
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  9. docs/en/docs/tutorial/body-multiple-params.md

        {!> ../../../docs_src/body_multiple_params/tutorial004.py!}
        ```
    
    !!! info
        `Body` also has all the same extra validation and metadata parameters as `Query`,`Path` and others you will see later.
    
    ## Embed a single body parameter
    
    Let's say you only have a single `item` body parameter from a Pydantic model `Item`.
    
    By default, **FastAPI** will then expect its body directly.
    
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  10. docs/en/docs/python-types.md

    For now, you just need to know that `Annotated` exists, and that it's standard Python. 😎
    
    Later you will see how **powerful** it can be.
    
    !!! tip
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