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39 lines
1.7 KiB
Markdown
39 lines
1.7 KiB
Markdown
# Jupyter Notebooks
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Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive GitHub Copilot canvas.
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## What it does
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- Opens existing `.ipynb` files from the current workspace.
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- Creates code, Markdown, and raw cells with reorder, duplicate, undo, and redo controls.
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- Runs Python cells through a fresh isolated process with bounded resources and captured rich output.
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- Saves, renames, and duplicates notebooks as standard `.ipynb` files.
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- Creates persistent checkpoints that can be restored from the canvas.
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## Requirements
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- Python 3 available as `python3` or `python`.
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- The `@github/copilot-sdk` package installed with the extension.
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## Install
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Ask Copilot to install the committed extension:
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```text
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Install this extension: https://github.com/github/awesome-copilot/tree/main/extensions/jupyter-notebooks
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```
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Reload extensions, then ask Copilot to open the `jupyter-notebooks` canvas.
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## Agent actions
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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.
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## Security and local data
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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.
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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.
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