# Notebook Cells

{% hint style="info" %}
*Check out this walk-through on Notebook cells.*
{% endhint %}

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FLIorG5wdB23XzMd83zbM%2Fnotebook_cells.gif?alt=media&#x26;token=6e74bcb8-5028-4344-a8a9-2e7e50d07364" alt=""><figcaption><p>Types of Notebook cells</p></figcaption></figure>

A Notebook under the DS Lab plugin is a collection of cells. Cells that contain either explanatory text (Markdown) or executable code and its output. Click a cell to select it.&#x20;

You can add new cells by using the [**+Code**](https://docs.bdb.ai/7.6/data-science-lab/project/various-tabs-to-work-with/notebook/notebook-page/notebook-cells/using-a-code-cell) and [**+Markdown**](https://docs.bdb.ai/7.6/data-science-lab/project/various-tabs-to-work-with/notebook/notebook-page/notebook-cells/using-a-markdown-cell) options given at the bottom of the cell.

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FIEuZWNZYS9twlAIKViLv%2Fimage.png?alt=media&#x26;token=621dbc59-1bda-4d26-b833-a1c519cccf4e" alt=""><figcaption></figcaption></figure>

{% hint style="info" %} <mark style="color:green;">Please Note</mark><mark style="color:green;">:</mark>&#x20;

* *The Notebook cells options are also provided in the* [***Notebook Task Bar***](https://docs.bdb.ai/7.6/data-science-lab/project/various-tabs-to-work-with/notebook/notebook-page/notebook-task-bar) *under the **Code** tab.*

​![](https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FUxGORKGORHhUAHO7vJKr%2Fimage.png?alt=media\&token=a262a68d-9226-4b2e-867a-640e1b2fbaff)

* *Refer the **Data Science Lab Quick Start Flow** page to get an overview of the **Data Science Lab** module in nutshell.* [***Click here***](https://docs.bdb.ai/data-science-lab-2/data-science-lab-quick-start-flow) *to get redirected to the quick start flow page.*&#x200B;​​
  {% endhint %}


---

# 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-2/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/notebook-cells.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.