VPython labextension

• JupyterLab ^0.35.0
• VPython Package >=7.4.8 (pip install vpython) or (conda install -c vpython vpython)

jupyter labextension install vpython

For a development install use the instructions for creating a custom jupyter labextension as a guide:

https://jupyterlab.readthedocs.io/en/stable/developer/extension_tutorial.html#extension-tutorial

Except where the tutorial says: conda install -c conda-forge jupyterlab=2, use jupyterlab=1 and tailor the instructions for creating a vpython labextension. Also, the tutorial command jupyter lab --watch will fail. Just use jupyter lab.

The original instructions below caused trouble for me (steve, I got various React errors) but this is what worked:

1. Create and activate a conda environment, and then install jupyterlab:

   conda create -n jupyterlab-ext --override-channels --strict-channel-priority -c conda-forge -c anaconda jupyterlab cookiecutter nodejs git

   conda activate jupyterlab-ext

   conda install -c conda-forge jupyterlab=1

2. git clone the repository (the branch from the pull request) somewhere using whatever git machinery you prefer.

Then “cd” into the ‘vpython-jupyter/labextension/vpython’ of that repository.

3. In the ‘vpython-jupyter/labextension/vpython’ directory of that repository execute:

   cp -r ../../vpython/vpython_{libraries,data} .

   yarn install

   jupyter labextension install .

4. Install vpyton in this virtual environment:

   cd ../..

   pip install -e .

And then to run a lab notebook:

jupyter lab

Then you should be able to import vpython now and run notebooks in jupyterlab.

Original instructions:

jlpm install
jlpm add @jupyterlab/application
jlpm add @jupyterlab/apputils
jlpm add @jupyterlab/coreutils
jlpm add @jupyterlab/docregistry
jlpm add @jupyterlab/notebook
jlpm add @phosphor/disposable
jlpm add script-loader

cp -r ../../vpython/vpython_{libraries,data} .
jlpm run build
jupyter labextension install .

To rebuild the package and the JupyterLab app:

jlpm run build
jupyter lab build