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docs/em/docs/advanced/settings.md
// You could create an env var MY_NAME with $ export MY_NAME="Wade Wilson" // Then you could use it with other programs, like $ echo "Hello $MY_NAME" Hello Wade Wilson ``` </div> === "🚪 📋" <div class="termy"> ```console // Create an env var MY_NAME $ $Env:MY_NAME = "Wade Wilson" // Use it with other programs, like
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docs/en/docs/advanced/settings.md
// You could create an env var MY_NAME with $ export MY_NAME="Wade Wilson" // Then you could use it with other programs, like $ echo "Hello $MY_NAME" Hello Wade Wilson ``` </div> === "Windows PowerShell" <div class="termy"> ```console // Create an env var MY_NAME $ $Env:MY_NAME = "Wade Wilson" // Use it with other programs, like
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docs/zh/docs/advanced/settings.md
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docs/de/docs/advanced/settings.md
$ export MY_NAME="Wade Wilson" // Dann könnten Sie diese mit anderen Programmen verwenden, etwa $ echo "Hello $MY_NAME" Hello Wade Wilson ``` </div> === "Windows PowerShell" <div class="termy"> ```console // Erstelle eine Umgebungsvariable MY_NAME $ $Env:MY_NAME = "Wade Wilson" // Verwende sie mit anderen Programmen, etwa
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docs/en/docs/tutorial/bigger-applications.md
And we can add a list of `dependencies` that will be added to all the *path operations* in the router and will be executed/solved for each request made to them. !!! tip
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docs/en/docs/tutorial/dependencies/dependencies-with-yield.md
If you use a `try` block in a dependency with `yield`, you'll receive any exception that was thrown when using the dependency. For example, if some code at some point in the middle, in another dependency or in a *path operation*, made a database transaction "rollback" or create any other error, you will receive the exception in your dependency. So, you can look for that specific exception inside the dependency with `except SomeException`.
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docs/en/docs/alternatives.md
It was one of the first extremely fast Python frameworks based on `asyncio`. It was made to be very similar to Flask. !!! note "Technical Details" It used <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> instead of the default Python `asyncio` loop. That's what made it so fast.
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docs/tr/docs/tutorial/first-steps.md
# İlk Adımlar En sade FastAPI dosyası şu şekilde görünür: ```Python {!../../../docs_src/first_steps/tutorial001.py!} ``` Yukarıdaki içeriği bir `main.py` dosyasına kopyalayalım. Uygulamayı çalıştıralım: <div class="termy"> ```console $ uvicorn main:app --reload <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
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docs/en/docs/deployment/docker.md
Docker has been one of the main tools to create and manage **container images** and **containers**. And there's a public <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> with pre-made **official container images** for many tools, environments, databases, and applications. For example, there's an official <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>.
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docs/en/data/external_links.yml
title: FastAPI Tutorial in Visual Studio Code - author: Apitally author_link: https://apitally.io link: https://blog.apitally.io/fastapi-application-monitoring-made-easy title: FastAPI application monitoring made easy - author: John Philip author_link: https://medium.com/@amjohnphilip
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