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docs/en/docs/fastapi-cli.md
For production you would use `fastapi run` instead. 🚀 Internally, **FastAPI CLI** uses <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, a high-performance, production-ready, ASGI server. 😎 ## `fastapi dev` When you run `fastapi dev`, it will run on development mode.
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docs/en/docs/advanced/websockets.md
First you need to install `WebSockets`: <div class="termy"> ```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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CITATION.cff
identifiers: repository-code: 'https://github.com/tiangolo/fastapi' url: 'https://fastapi.tiangolo.com' abstract: >- FastAPI framework, high performance, easy to learn, fast to code, ready for production keywords: - fastapi - pydantic - starlette
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docs/en/docs/project-generation.md
- 🎨 [Chakra UI](https://chakra-ui.com) for the frontend components. - 🤖 An automatically generated frontend client. - 🦇 Dark mode support. - 🐋 [Docker Compose](https://www.docker.com) for development and production. - 🔒 Secure password hashing by default. - 🔑 JWT token authentication. - 📫 Email based password recovery. - ✅ Tests with [Pytest](https://pytest.org).
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docs/vi/docs/tutorial/index.md
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docs/de/docs/deployment/versions.md
# Über FastAPI-Versionen **FastAPI** wird bereits in vielen Anwendungen und Systemen produktiv eingesetzt. Und die Testabdeckung wird bei 100 % gehalten. Aber seine Entwicklung geht immer noch schnell voran. Es werden regelmäßig neue Funktionen hinzugefügt, Fehler werden regelmäßig behoben und der Code wird weiterhin kontinuierlich verbessert.
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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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docs/en/docs/features.md
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docs/fr/docs/features.md
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docs/tr/docs/async.md
Buna ek olarak Python'un **Veri Bilimi**, Makine Öğrenimi ve özellikle Derin Öğrenme için ana dil olduğu gerçeği, FastAPI'yi Veri Bilimi / Makine Öğrenimi web API'leri ve uygulamaları için çok iyi bir seçenek haline getirir. Production'da nasıl oldugunu görmek için şu bölüme bakın [Deployment](deployment/index.md){.internal-link target=_blank}. ## `async` ve `await`
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