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docs/en/docs/release-notes.md
* 🌐 Add French translation for FastAPI People. PR [#2232](https://github.com/tiangolo/fastapi/pull/2232) by [@JulianMaurin](https://github.com/JulianMaurin). * 🌐 Add Korean translation for Tutorial - Path Parameters. PR [#2355](https://github.com/tiangolo/fastapi/pull/2355) by [@hard-coders](https://github.com/hard-coders).
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docs/en/data/people.yml
- login: Smlep count: 11 avatarUrl: https://avatars.githubusercontent.com/u/16785985?v=4 url: https://github.com/Smlep - login: hard-coders count: 10 avatarUrl: https://avatars.githubusercontent.com/u/9651103?u=95db33927bbff1ed1c07efddeb97ac2ff33068ed&v=4 url: https://github.com/hard-coders - login: alejsdev count: 10 avatarUrl: https://avatars.githubusercontent.com/u/90076947?u=1ee3a9fbef27abc9448ef5951350f99c7d76f7af&v=4
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docs/en/data/github_sponsors.yml
- login: DMantis avatarUrl: https://avatars.githubusercontent.com/u/9536869?v=4 url: https://github.com/DMantis - login: hard-coders avatarUrl: https://avatars.githubusercontent.com/u/9651103?u=95db33927bbff1ed1c07efddeb97ac2ff33068ed&v=4 url: https://github.com/hard-coders - login: supdann avatarUrl: https://avatars.githubusercontent.com/u/9986994?u=9671810f4ae9504c063227fee34fd47567ff6954&v=4
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docs/en/docs/deployment/docker.md
**available machines** taking into account the amount of memory needed by them, and the amount available in the machines in the cluster. If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines...
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