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docs/es/docs/async.md
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docs/en/docs/async.md
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docs/tr/docs/project-generation.md
* Full **Docker** entegrasyonu (Docker based). * Docker Swarm Mode ile deployment. * **Docker Compose** entegrasyonu ve lokal geliştirme için optimizasyon. * Uvicorn ve Gunicorn ile **Production ready** Python web server'ı. * Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> backend:
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docs/lambda/README.md
Lets start the lamdba handler. ``` python lambda_handler.py * Serving Flask app 'webhook' * Debug mode: off WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. * Running on http://127.0.0.1:5000 Press CTRL+C to quit ``` ## Start MinIO with Lambda target
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docs/fr/docs/index.md
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README.md
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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/distributed/SIZING.md
# Erasure code sizing guide ## Toy Setups Capacity constrained environments, MinIO will work but not recommended for production. | servers | drives (per node) | stripe_size | parity chosen (default) | tolerance for reads (servers) | tolerance for writes (servers) | |--------:|------------------:|------------:|------------------------:|------------------------------:|-------------------------------:|
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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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