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docs/en/docs/how-to/graphql.md
/// ## Learn More You can learn more about **GraphQL** in the <a href="https://graphql.org/" class="external-link" target="_blank">official GraphQL documentation</a>.
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docs/en/mkdocs.yml
docstring_section_style: spacy signature_crossrefs: true show_symbol_type_heading: true show_symbol_type_toc: true nav: - FastAPI: index.md - features.md - Learn: - learn/index.md - python-types.md - async.md - environment-variables.md - virtual-environments.md - Tutorial - User Guide: - tutorial/index.md - tutorial/first-steps.md
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docs/en/docs/tutorial/dependencies/global-dependencies.md
groups of *path operations* Later, when reading about how to structure bigger applications ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md){.internal-link target=_blank}), possibly with multiple files, you will learn how to declare a single `dependencies` parameter for a group of *path operations*....
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docs/en/docs/advanced/dataclasses.md
Check the in-code annotation tips above to see more specific details. ## Learn More You can also combine `dataclasses` with other Pydantic models, inherit from them, include them in your own models, etc. To learn more, check the <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/" class="external-link" target="_blank">Pydantic docs about dataclasses</a>.
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fastapi/__init__.py
"""FastAPI framework, high performance, easy to learn, fast to code, ready for production""" __version__ = "0.115.4" from starlette import status as status from .applications import FastAPI as FastAPI from .background import BackgroundTasks as BackgroundTasks from .datastructures import UploadFile as UploadFile from .exceptions import HTTPException as HTTPException from .exceptions import WebSocketException as WebSocketException
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docs/en/data/external_links.yml
onous-web-frameworks/ title: Top 5 Asynchronous Web Frameworks for Python - author: Nico Axtmann author_link: https://www.linkedin.com/in/nico-axtmann link: https://medium.com/@nico.axtmann95/deploying-a-scikit-learn-model-with-onnx-und-fastapi-1af398268915 title: Deploying a scikit-learn model with ONNX and FastAPI - author: Nils de Bruin author_link: https://medium.com/@nilsdebruin link: https://medium.com/data-rebels/fastapi-authentication-revisited-enabling-api-key-authentication-122dc5975680...
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docs/en/docs/index.md
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docs/en/docs/tutorial/body-fields.md
/// ## Add extra information You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema. You will learn more about adding extra information later in the docs, when learning to declare examples. /// warning Extra keys passed to `Field` will also be present in the resulting OpenAPI schema for your application.
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README.md
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docs/en/docs/advanced/sub-applications.md
And the sub-application could also have its own mounted sub-applications and everything would work correctly, because FastAPI handles all these `root_path`s automatically.
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