On behalf of the Bokeh team, I am pleased to announce the release of version 0.12.9 of Bokeh!
OF SPECIAL NOTE: *** JupyterLab and Fast Array Transport now supported *** Please see the announcement post at: https://bokeh.github.io/blog/2017/9/12/release-0-12-9/ which has more information and demonstrations. If you are using Anaconda/miniconda, you can install it with conda: conda install -c bokeh bokeh Alternatively, you can also install it with pip: pip install bokeh Full information including details about how to use and obtain BokehJS are at: http://bokeh.pydata.org/en/0.12.9/docs/installation.html Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh Documentation is available at http://bokeh.pydata.org/en/0.12.9 There are over 250 total contributors to Bokeh and their time and effort help make Bokeh such an amazing project and community. Thank you again for your contributions. Finally (as always), for questions, technical assistance or if you're interested in contributing, questions can be directed to the Bokeh mailing list: bo...@continuum.io or the Gitter Chat room: https://gitter.im/bokeh/bokeh Thanks, Bryan Van de Ven -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/