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docs/en/docs/advanced/dataclasses.md
```Python hl_lines="1 7-12 19-20" {!../../../docs_src/dataclasses/tutorial001.py!} ``` This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.
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docs/en/docs/tutorial/testing.md
# Testing Thanks to <a href="https://www.starlette.io/testclient/" class="external-link" target="_blank">Starlette</a>, testing **FastAPI** applications is easy and enjoyable. It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive.
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docs/en/docs/index.md
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic). * **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries. * Many extra features (thanks to Starlette) as: * **WebSockets** * extremely easy tests based on HTTPX and `pytest` * **CORS**
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docs/en/docs/help-fastapi.md
### Tests * Help me check that the PR has **tests**. * Check that the tests **fail** before the PR. 🚨 * Then check that the tests **pass** after the PR. ✅ * Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.
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.github/DISCUSSION_TEMPLATE/questions.yml
labels: [question] body: - type: markdown attributes: value: | Thanks for your interest in FastAPI! 🚀 Please follow these instructions, fill every question, and do every step. 🙏 I'm asking this because answering questions and solving problems in GitHub is what consumes most of the time.
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README.md
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic). * **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries. * Many extra features (thanks to Starlette) as: * **WebSockets** * extremely easy tests based on HTTPX and `pytest` * **CORS**
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docs/en/docs/async.md
And as you can have parallelism and asynchronicity at the same time, you get higher performance than most of the tested NodeJS frameworks and on par with Go, which is a compiled language closer to C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(all thanks to Starlette)</a>. ### Is concurrency better than parallelism? Nope! That's not the moral of the story.
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docs/en/docs/features.md
![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png) ### Just Modern Python It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.
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docs/ja/docs/help-fastapi.md
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docs/en/docs/tutorial/body-nested-models.md
# Body - Nested Models With **FastAPI**, you can define, validate, document, and use arbitrarily deeply nested models (thanks to Pydantic). ## List fields You can define an attribute to be a subtype. For example, a Python `list`: === "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial001_py310.py!} ``` === "Python 3.8+" ```Python hl_lines="14"
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