Document development and deployment

bokeh / jupyter_bokeh

An extension for rendering Bokeh content in JupyterLab notebooks

BSD 3-Clause "New" or "Revised" License

253 stars 48 forks source link

Closed mattpap closed 2 years ago

mattpap commented 4 years ago

Development is partially explained in README.md. Need to document uploads to npm, anaconda cloud and pypi.

bryevdv commented 4 years ago

FYI need t upload to pypi w/ twine:

twine upload -u __token__ -p <token> <file>

Also we need to make a new token scoped to just this project and put it in 1pass

bryevdv commented 3 years ago

Need to document:

conventions for dev versions
python setup.py sdist bdist_wheel to build
npm publish to publish to NPM
set PYPI_TOKEN and twine upload -u __token__ -p $PYPI_TOKEN dist/jupyter_bokeh-* to publish to PyPI
instructions for conda package (tbd)

It's possible the deploy.sh script can be used (or lightly fixed up) to do all this

cc @philippjfr

bryevdv commented 2 years ago

I'm going to close this and roll it in with #141