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docs/en/docs/tutorial/dependencies/global-dependencies.md
## Dependencies for groups of *path operations*
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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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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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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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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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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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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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docs/es/docs/index.md
### Resumen En resumen, declaras los tipos de parámetros, body, etc. **una vez** como parámetros de la función. Lo haces con tipos modernos estándar de Python. No tienes que aprender una sintaxis nueva, los métodos o clases de una library específica, etc. Solo **Python** estándar. Por ejemplo, para un `int`: ```Python item_id: int ``` o para un modelo más complejo de `Item`: ```Python item: Item
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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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docs/en/docs/release-notes.md
* ♻ Change a `dict()` for `{}` in `fastapi/utils.py`. PR [#3138](https://github.com/tiangolo/fastapi/pull/3138) by [@ShahriyarR](https://github.com/ShahriyarR). * ♻ Move internal variable for errors in `jsonable_encoder` to put related code closer. PR [#4560](https://github.com/tiangolo/fastapi/pull/4560) by [@GuilleQP](https://github.com/GuilleQP).
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