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1.4 KiB

Making a new release of JupyterLab Classic

This process is still a bit manual and consists in running a couple of commands.

This should normally be possible to automate the process at some point.

Getting a clean environment

Creating a new environment can help avoid pushing local changes and any extra tag.

mamba create -q -y -n jupyterlab-classic-release -c conda-forge twine nodejs -y
conda activate jupyterlab-classic-release

Alternatively, the local repository can be cleaned with:

git clean -fdx

Releasing on PyPI

Make sure the dist/ folder is empty.

  1. Update jupyterlab_classic/_version.py with the new version number
  2. Run: python setup.py sdist bdist_wheel
  3. Double check the size of the bundles in the dist/ folder
  4. Test the release by installing the wheel or sdist: `python -m pip install ./dist/jupyterlab_classic-0.1.1-py3-none-any.whl
  5. Commit the changes
  • git add jupyterlab_classic/_version.py
  • git commit -m "Release x.y.z"
  1. export TWINE_USERNAME=mypypi_username
  2. twine upload dist/*

Publish the packages to npm

  1. Bump the version in
  2. jlpm run lerna version x.y.z --no-push --amend --force-publish
  3. jlpm run lerna publish from-package

Committing and tagging

Push the release commit to the main branch:

git push origin main

Then create a new release from the GitHub interface.