# Jupyter Lab

{% hint style="info" %}
Note: We are working on native JupyterLab extension with more extensive features. Join the waitlist below if you are interested.\
\
<https://forms.gle/31MyoJBtU6V4nAbs8>
{% endhint %}

To use CodeSquire in JupyterLab you first need to install it.

## 1. Installation

Click on the link below to go to Chrome Web Store and install the extension.\
\
[**https://chrome.google.com/webstore/detail/codesquireai/ikldibchjbalnngafojhlnbddkehoooc**](https://chrome.google.com/webstore/detail/codesquireai/ikldibchjbalnngafojhlnbddkehoooc)

<figure><img src="/files/suvYD0hmVFzlOlcVnJ5d" alt=""><figcaption></figcaption></figure>

## **2.** Sign In

After installing the extension, pin it and Login if needed.

<figure><img src="/files/AgyEbXwEbuRiQ1uXFZhc" alt=""><figcaption></figcaption></figure>

## 3. Go to Jupyter Lab and generate the code.

After signing in, go to Jupyter Lab and start generating code by placing the cursor in the place where you want to generate code and pressing Ctrl+Shift+E.

<figure><img src="/files/yG4JHQYHFVWGHcRqUbGT" alt=""><figcaption></figcaption></figure>


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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.codesquire.ai/quickstart/jupyter-lab.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.