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+# Jupyter Notebooks
+
+Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive GitHub Copilot canvas.
+
+![Jupyter Notebooks canvas showing Markdown, Python code, and execution output](assets/preview.png)
+
+## What it does
+
+- Opens existing `.ipynb` files from the current workspace.
+- Creates code, Markdown, and raw cells with reorder, duplicate, undo, and redo controls.
+- Runs Python cells through a fresh isolated process with bounded resources and captured rich output.
+- Saves, renames, and duplicates notebooks as standard `.ipynb` files.
+- Creates persistent checkpoints that can be restored from the canvas.
+
+## Requirements
+
+- Python 3 available as `python3` or `python`.
+- The `@github/copilot-sdk` package installed with the extension.
+
+## Install
+
+Ask Copilot to install the committed extension:
+
+```text
+Install this extension: https://github.com/github/awesome-copilot/tree/main/extensions/jupyter-notebooks
+```
+
+Reload extensions, then ask Copilot to open the `jupyter-notebooks` canvas.
+
+## Agent actions
+
+The canvas provides actions for notebook lifecycle, workspace files, cell editing, execution, runtime selection, and checkpoints. Use `get_notebook` to inspect the current state before editing a cell.
+
+## Security and local data
+
+Notebook execution uses Python isolated mode in a fresh temporary directory. The runner applies CPU, file-size, process, and memory limits where the platform supports them, caps captured output, and stops execution after 30 seconds.
+
+The local canvas server binds to `127.0.0.1`, protects requests with a per-instance capability token, validates action origins, and sends a restrictive content security policy. Notebook state and checkpoints stay in the active Copilot workspace.