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JupyterLab Code Snippet

Save, reuse, and share code snippets using JupyterLab Code Snippets

Github Actions Status Binder npm version PyPI version License Documentation Status

This extension is a derivative of Elyra's original design and further developed by Jupyter Cal Poly Team.

Read Press Release for more information.

Check out the Current Progress to keep up with our feature updates!

This extension is composed of a NPM package named jupyterlab-code-snippets for the frontend extension.

Alt Text

Requirements

  • JupyterLab >= 3.0

Install

Install using jupyter:

jupyter labextension install jupyterlab-code-snippets

Install using pip:

pip install jupyterlab-code-snippets

Troubleshoot

If it is installed, try:

jupyter lab clean
jupyter lab build

Contributing

Install

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Move to jupyter-lab-code-snippets directory

# Install dependencies
jlpm
# Build Typescript source
jlpm build
# Link your development version of the extension with JupyterLab
jupyter labextension install .
# Rebuild Typescript source after making changes
jlpm build
# Rebuild JupyterLab after making any changes
jupyter lab build

You can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.

# Watch the source directory in another terminal tab
jlpm watch
# Run jupyterlab in watch mode in one terminal tab
jupyter lab --watch

Now every change will be built locally and bundled into JupyterLab. Be sure to refresh your browser page after saving file changes to reload the extension (note: you'll need to wait for webpack to finish, which can take 10s+ at times).

Uninstall

jupyter labextension uninstall jupyterlab-code-snippets

OR

pip uninstall jupyterlab-code-snippets

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Save, reuse, and share code snippets using JupyterLab Code Snippets!

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  • TypeScript 44.4%
  • JavaScript 24.8%
  • HTML 22.2%
  • CSS 7.3%
  • Python 1.3%