# Accessing the Notebook Tab

The Notebook tab opens by default while clicking on a Repo Sync Project. 

* Navigate to the ***Projects*** page.
* Select a Repo Sync Project created under PySpark environment from the displayed list.
* Make sure the selected Repo Sync Project is activated, click on it.

<figure><img src="/files/cM9dXPGi7pGbpUO3W7f7" alt=""><figcaption><p><em><strong>Selecting a PySpark Repo Sync Project</strong></em></p></figcaption></figure>

* The ***Repo Sync*** project opens displaying the ***Notebook*** tab. A Repo folder gets added to the selected Repo Sync project based on the selected Git repository account (at the user level settings) under the ***Notebook*** tab with ***Refresh*** and ***Git Console*** icons.

<figure><img src="/files/oo6TPSphV79rIM39aJyw" alt=""><figcaption><p><em><strong>Notebook Tab for a PySpark Repo Sync Project</strong></em></p></figcaption></figure>

<table><thead><tr><th width="105">Icons</th><th width="176">Name of the Icons</th><th>Actions</th></tr></thead><tbody><tr><td><img src="/files/V6zLkvXVKrU2V8dlnzVO" alt="" data-size="original"></td><td>Refresh</td><td>Refreshes the data taken from the selected Git Repository. </td></tr><tr><td><img src="/files/b9DnZEUzUtBpULSynFic" alt="" data-size="original"></td><td>Git Console</td><td>Opens a console page to use Git Commands.</td></tr></tbody></table>

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

* *The Repo Sync Project opens with a branch that is configured at the project level.*
* *Refer the* [***Data Science Lab Quick Start Flow*** ](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow)*page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
  {% 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-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/notebook/accessing-the-notebook-tab.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.