/// tip

If you need GraphQL, I still would recommend you check out [Strawberry](https://strawberry.rocks/), as it's based on type annotations instead of custom classes and types.

///

## Learn More { #learn-more }

You can learn more about **GraphQL** in the [official GraphQL documentation](https://graphql.org/).

          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

operations* { #dependencies-for-groups-of-path-operations }

Later, when reading about how to structure bigger applications ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md)), possibly with multiple files, you will learn how to declare a single `dependencies` parameter for a group of *path operations*....

Check the in-code annotation tips above to see more specific details.

## Learn More { #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 [Pydantic docs about dataclasses](https://docs.pydantic.dev/latest/concepts/dataclasses/).

## Version { #version }

<p align="center">
  <a href="https://fastapi.tiangolo.com"><img src="https://fastapi.tiangolo.com/img/logo-margin/logo-teal.png" alt="FastAPI"></a>
</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">

# 学習 { #learn }

ここでは、**FastAPI** を学習するための入門セクションとチュートリアルを紹介します。

*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
*   [TensorFlow Blog](https://blog.tensorflow.org)
*   [Learn ML with TensorFlow](https://www.tensorflow.org/resources/learn-ml)
*   [TensorFlow Twitter](https://twitter.com/tensorflow)
*   [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)

If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them.

/// tip

If you want to **learn FastAPI** in a structured way (recommended), go and read the [Tutorial - User Guide](../tutorial/index.md) chapter by chapter instead.

"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""

__version__ = "0.135.3"

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

---

"_If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]_"

"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"