> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/getting-started/installing-mito/installing-mitosheet-in-vs-code.md).

# Installing Mitosheet in VS Code

Mitosheet is an interactive spreadsheet interface for Python that integrates seamlessly with editors like Visual Studio Code and Cursor. Follow the steps below to install and start using Mitosheet.

### Installation

Before using Mitosheet, you need to install the Python package:

```
pip install mitosheet
```

In addition, install the [**Mitosheet extension**](https://marketplace.visualstudio.com/items?itemName=MitoLabs.mitosheet-vscode) in your editor:

* Open your editor’s Extensions panel
* Search for **Mitosheet**
* Click **Install**

### Getting Started

To create your first Mitosheet, open a new Jupyter Notebook and run the following code:

```python
import mitosheet
import pandas as pd

df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6]
})

mitosheet.sheet(df)
```

### Notes

* Restart your kernel if the extension does not load correctly.
* This extension is actively being developed, if you find any bugs we encourage you to submit a [ticket](https://github.com/mito-ds/mito/issues). 


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.trymito.io/getting-started/installing-mito/installing-mitosheet-in-vs-code.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.