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  1. docs/en/docs/index.md

    ---
    
    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
    
    The key features are:
    
    * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
    * **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
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  2. pyproject.toml

        "Topic :: Software Development :: Libraries :: Application Frameworks",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "Topic :: Software Development :: Libraries",
        "Topic :: Software Development",
        "Typing :: Typed",
        "Development Status :: 4 - Beta",
        "Environment :: Web Environment",
        "Framework :: AsyncIO",
        "Framework :: FastAPI",
        "Framework :: Pydantic",
        "Framework :: Pydantic :: 1",
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  3. docs/en/docs/deployment/manually.md

    ## ASGI Servers
    
    Let's go a little deeper into the details.
    
    FastAPI uses a standard for building Python web frameworks and servers called <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>. FastAPI is an ASGI web framework.
    
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  4. docs/en/docs/features.md

    * Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
    * **WebSocket** support.
    * In-process background tasks.
    * Startup and shutdown events.
    * Test client built on HTTPX.
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  5. README.md

    ---
    
    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
    
    The key features are:
    
    * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
    * **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
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  6. fastapi/__init__.py

    """FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
    
    __version__ = "0.111.0"
    
    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
    Python
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  7. docs/en/docs/release-notes.md

    ## 0.7.1
    
    * Update [technical details about `async def` handling](https://fastapi.tiangolo.com/async/#path-operation-functions) with respect to previous frameworks. PR [#64](https://github.com/tiangolo/fastapi/pull/64) by [@haizaar](https://github.com/haizaar).
    
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  8. docs/en/docs/advanced/websockets.md

    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets client
    
    ### In production
    
    In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.
    
    And to communicate using WebSockets with your backend you would probably use your frontend's utilities.
    
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  9. docs/en/mkdocs.yml

    INHERIT: ../en/mkdocs.maybe-insiders.yml
    site_name: FastAPI
    site_description: FastAPI framework, high performance, easy to learn, fast to code, ready for production
    site_url: https://fastapi.tiangolo.com/
    theme:
      name: material
      custom_dir: ../en/overrides
      palette:
      - media: '(prefers-color-scheme: light)'
        scheme: default
        primary: teal
        accent: amber
        toggle:
          icon: material/lightbulb
          name: Switch to dark mode
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  10. .bazelrc

    # support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
    # By default, TensorFlow will build with a dependence on
    # //tensorflow:libtensorflow_framework.so.
    build:monolithic --define framework_shared_object=false
    build:monolithic --define tsl_protobuf_header_only=false
    build:monolithic --experimental_link_static_libraries_once=false  # b/229868128
    
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