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docs/en/docs/release-notes.md
* These `dependencies` are run before the normal parameter dependencies. And normal dependencies are run too. They can be combined. * Dependencies declared in a router are executed first, then the ones defined in *path operation decorators*, and then the ones declared in normal parameters. They are all combined and executed.
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docs/en/docs/deployment/docker.md
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc. By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.
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docs/en/docs/features.md
You will get completion in code you might even consider impossible before. As for example, the `price` key inside a JSON body (that could have been nested) that comes from a request. No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`. ### Short
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README.md
* Automatic and clear errors when the data is invalid. * Validation even for deeply nested JSON objects. * <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from: * JSON. * Path parameters. * Query parameters. * Cookies. * Headers. * Forms. * Files.
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docs/en/docs/advanced/settings.md
## Pydantic `Settings` Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>. ### Install `pydantic-settings`
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docs/en/docs/index.md
* Automatic and clear errors when the data is invalid. * Validation even for deeply nested JSON objects. * <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from: * JSON. * Path parameters. * Query parameters. * Cookies. * Headers. * Forms. * Files.
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