Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail
From: Bryan Van de Ven <bryanv@continuum.io>
Newsgroups: comp.lang.python.announce
Subject: ANN: Bokeh 0.11 released
Date: Wed, 6 Jan 2016 15:48:48 -0600
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Hi all,

On behalf of the Bokeh team, I am excited to announce the release of =
version
0.11 of Bokeh.

Bokeh Version 0.11 is a large release with *many* new improvements. The
major focus of this release was to introduce a new Bokeh server, based =
on
Tornado and websockets that is more stable, has higher performance, and =
simpler
to use and deploy. You can already see a small sample of hosted Bokeh
application examples at a new site located here:

    http://demo.bokehplots.com

We will be adding many new examples here over the coming weeks.

There is so much exciting in this release, that we will need a few blog
posts to talk about everything. Keep an eye on our Twitter @BokehPlots =
or the
mailing list for upcoming blog announcements. Some of the highlights =
from this
release are:

* New Bokeh Server based on Tornado and websockets
  - highly expanded documentation, with examples and guidance for usage
* User-Defined Models allowing anyone to extend Bokeh
* Significant GIS features and improvements
  - Support for Stamen, OpenStreetMap, and other tile sources
  - GeoJSON data source
  - Patches with holes
* WebGL support for rendering lines
* Python -> JS compilation for CustomJS callbacks (Py3 only for now)
* New general push_notebook() based on Jupyter comms
* Updates to charts, charts examples, and charts docs
* UX improvements
  - configurable and "auto" range bounds
  - wheel zoom scroll capture turned off by default
  - easily set visual styling for highlighting hovered points
  - responsive improvements, maintain plot aspect and auto-resize

Nearly 400 issues and PRs were closed for the release! See the CHANGELOG =
for full
details, and the release notes for known issues and any migration notes.

The next big feature we plan is to dramatically improve our layout =
options
using PhosporJS, which is also the foundation of the new Jupyter =
Workbench
project. We also plan to have several, more frequent point releases with
smaller incremental improvements and fixes.

I'd also like to take the opportunity to thank all the Bokeh =
contributors,
and especially new people who have helped greatly with this release: =
Havoc
Pennington, Greg Nordin, and Christian Tremblay.

If you are using Anaconda/miniconda, you can install it with conda:

    conda install bokeh

Alternatively, you can also install it with pip:

    pip install bokeh

Issues, enhancement requests, and pull requests can be made on the Bokeh
Github page: https://github.com/bokeh/bokeh

Full documentation is available at http://bokeh.pydata.org/en/0.11.0

Questions can be directed to the Bokeh mailing list: bokeh@continuum.io

Thanks,

The Bokeh Team=