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docs/en/docs/release-notes.md
* 🔧 Add CryptAPI sponsor. PR [#4264](https://github.com/tiangolo/fastapi/pull/4264) by [@tiangolo](https://github.com/tiangolo). * 📝 Update `docs/tutorial/dependencies/classes-as-dependencies`: Add type of query parameters in a description of `Classes as dependencies`. PR [#4015](https://github.com/tiangolo/fastapi/pull/4015) by [@0417taehyun](https://github.com/0417taehyun).
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docs/en/docs/features.md
* Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data. * Validate **complex structures**: * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
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README.md
### Recap In summary, you declare **once** the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. Just standard **Python**. For example, for an `int`: ```Python item_id: int ``` or for a more complex `Item` model: ```Python item: Item ```
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docs/en/docs/index.md
### Recap In summary, you declare **once** the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. Just standard **Python**. For example, for an `int`: ```Python item_id: int ``` or for a more complex `Item` model: ```Python item: Item ```
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