# Data Science Notebook

- [Preview File](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/preview-file.md): A Data Science Notebook (.ipynb files) page can be opened, and code & markdown cells can be previewed without activating the respective project.
- [Save as Notebook](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/save-as-notebook.md): This section explains Save as Notebook functionality for the .ipynb files.
- [.ipynb File Cells](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/.ipynb-file-cells.md): A Data Science Notebook or .ipynb file contains various types of cells inside it to create Data Science experiments.
- [Using a Code Cell](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/.ipynb-file-cells/using-a-code-cell.md): Write & Run Code to create Data Science Scripts and models using the .ipynb file.
- [Using a Markdown Cell](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/.ipynb-file-cells/using-a-markdown-cell.md): This page describes steps to use the text cells of the Data Science Notebook.
- [Using an Assist Cell](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/.ipynb-file-cells/using-an-assist-cell.md): This section focuses on the BDB Assist functionality provided inside the Data Science Notebook infrastructure.
- [Resource Utilization Graph](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/resource-utilization-graph.md): This feature helps to identify the resource utilization of a Data Science Lab Project where the Notebook is saved and executed.
- [Taskbar](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/taskbar.md): The Data Science Notebook task bar presents different options that may be used to manipulate the way the notebook functions.
- [Actions Icons](https://docs.bdb.ai/data-science-lab-5/data-science-notebook/actions-icons.md): This page covers all the actions provided for a Data Science Notebook file.


---

# 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.bdb.ai/data-science-lab-5/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.