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docs/en/docs/deployment/concepts.md
I'll show you some concrete examples in the next chapters. --- Then the next concepts to consider are all about the program running your actual API (e.g. Uvicorn). ## Program and Process
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docs/en/docs/deployment/manually.md
* Memory * Previous steps before starting
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docs/en/docs/advanced/openapi-callbacks.md
The only new thing is the `callbacks=invoices_callback_router.routes` as an argument to the *path operation decorator*. We'll see what that is next. ## Documenting the callback The actual callback code will depend heavily on your own API app. And it will probably vary a lot from one app to the next. It could be just one or two lines of code, like: ```Python callback_url = "https://example.com/api/v1/invoices/events/"
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docs/pl/docs/index.md
<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div> --- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
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docs/ru/docs/index.md
<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div> --- "_Мы использовали библиотеку **FastAPI** для создания сервера **REST**, к которому можно делать запросы для получения **прогнозов**. [для Ludwig]_"
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docs/zh/docs/index.md
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docs/en/docs/tutorial/first-steps.md
```Python {!../../../docs_src/first_steps/tutorial001.py!} ``` Copy that to a file `main.py`. Run the live server: <div class="termy"> ```console $ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u> <font color="#3465A4">INFO </font> Using path <font color="#3465A4">main.py</font>
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docs/en/docs/advanced/settings.md
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docs/en/docs/deployment/docker.md
Copy **only** the file with the requirements first, not the rest of the code. As this file **doesn't change often**, Docker will detect it and use the **cache** for this step, enabling the cache for the next step too. 4. Install the package dependencies in the requirements file.
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docs/en/docs/release-notes.md
So, a request with a content type of `text/plain` containing JSON data would be accepted and the JSON data would be extracted.
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