* Added permanently deactivate menu option.
* Added get names and timestamp option.
* Added insert boilerplate about initializing notebook option.
* Began using
[JPSLUtils](https://github.com/JupyterPhysSciLab/JPSLUtils)
for tools used across JupyterPhysSciLab.
* Updated README, included suggested workflow, license and more details.
0.5.0 Initial release.
Making a new release of jupyter-instructortools
The extension can be published to `PyPI` and `npm` manually or using the [Jupyter Releaser](https://github.com/jupyter-server/jupyter_releaser).
Manual release
Python package
This extension can be distributed as Python packages. All of the Python
packaging instructions are in the `pyproject.toml` file to wrap your extension in a
Python package. Before generating a package, you first need to install some tools:
bash
pip install build twine hatch
Bump the version using `hatch`. By default this will create a tag.
See the docs on [hatch-nodejs-version](https://github.com/agoose77/hatch-nodejs-version#semver) for details.
bash
hatch version <new-version>
Make sure to clean up all the development files before building the package:
bash
jlpm clean:all
You could also clean up the local git repository:
bash
git clean -dfX
To create a Python source package (`.tar.gz`) and the binary package (`.whl`) in the `dist/` directory, do:
bash
python -m build
> `python setup.py sdist bdist_wheel` is deprecated and will not work for this package.
Then to upload the package to PyPI, do:
bash
twine upload dist/*
NPM package
To publish the frontend part of the extension as a NPM package, do:
bash
npm login
npm publish --access public
Automated releases with the Jupyter Releaser
The extension repository should already be compatible with the Jupyter Releaser. But
the GitHub repository and the package managers need to be properly set up. Please
follow the instructions of the Jupyter Releaser [checklist](https://jupyter-releaser.readthedocs.io/en/latest/how_to_guides/convert_repo_from_repo.html).
Here is a summary of the steps to cut a new release:
- Go to the Actions panel
- Run the "Step 1: Prep Release" workflow
- Check the draft changelog
- Run the "Step 2: Publish Release" workflow
> [!NOTE]
> Check out the [workflow documentation](https://jupyter-releaser.readthedocs.io/en/latest/get_started/making_release_from_repo.html)
> for more information.
Publishing to `conda-forge`
If the package is not on conda forge yet, check the documentation to learn how to add it: https://conda-forge.org/docs/maintainer/adding_pkgs.html
Otherwise a bot should pick up the new version publish to PyPI, and open a new PR on the feedstock repository automatically.