# Jupyter Notebook

## Jupyter Notebook

Log in to your work folder by VS code terminal.

Create a python3 env:

`virtualenv -p python3 env`

Activate it:

`. env/bin/activate`

Install your python commands and tools inside the env:

`pip install jupyter notebook`

Run jupyter notebook:

`jupyter notebook`

Click on the localhost link starting like: `http://localhost:8891/tree?token=ef69a1ea99a1377dc2bf783ecec2420d90fdc9b0593f1707`

[Jupyter notebook docs](https://docs.jupyter.org/en/latest/running.html)

If you want to use Jupyter Notebook with Julia Kernel install [IJulia](https://github.com/JuliaLang/IJulia.jl) on the haflinger.


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
