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docs/es/docs/async.md
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docs/en/docs/async.md
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docs/en/docs/deployment/manually.md
│ │ ╰──────────────────────────╯ <font color="#3465A4">INFO </font> Using import string <font color="#8AE234"><b>main:app</b></font> <font color="#4E9A06">╭─────────── FastAPI CLI - Production mode ───────────╮</font> <font color="#4E9A06">│ │</font> <font color="#4E9A06">│ Serving at: http://0.0.0.0:8000 │</font>
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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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docs/en/docs/index.md
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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
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docs/en/docs/how-to/async-sql-encode-databases.md
* PostgreSQL * MySQL * SQLite In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is. Later, for your production application, you might want to use a database server like **PostgreSQL**. !!! tip
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docs/pt/docs/async.md
Imagine que você seja o computador / programa nessa história. Enquanto você está na fila, tranquilo, esperando por sua vez, não está fazendo nada "produtivo". Mas a fila é rápida porquê o caixa só está pegando os pedidos, então está tudo bem.
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docs/fr/docs/index.md
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