# Data Science Notebook

### JupyterHub

Click on JupyterHub from left menu or click on QuickStart Jupyterhub, it will open up new secure window with your same user credentials

![](/files/mOuHW45MdM6UpbFs92gu)

### Server Options

Select server options for your Data Science run time environment with number of CPU core and RAM and click on start.

![](/files/fCrIHfCghRbJauM5wlGn)

### Data Science Runtime Environment

Start Data science Python environment from JupyterHub launcher and open sample notebook for quick test.

![](/files/KtKD84gyZrUxbwDJwuEi)

Databeanstalk pre-load many example use case notebooks for you in your home directory.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://docs.databeanstalk.com/databeanstalk-guides/data-science-notebook.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.