On Mar 26, 2015, at 10:49 PM, Nicolas Paris <[email protected]> wrote:
I've just run `conda update bokeh`, and the result is still bokeh 0.8.1 (though apparently a different build).
shell output below :
Fetching package metadata: ....
Solving package specifications: .
Package plan for installation in environment /Users/nicolas/anaconda:
The following packages will be downloaded:
package | build
pytz-2015.2 | py27_0 175 KB
requests-2.6.0 | py27_0 594 KB
conda-3.10.0 | py27_0 164 KB
python-dateutil-2.4.1 | py27_0 218 KB
pandas-0.15.2 | np19py27_1 4.7 MB
bokeh-0.8.1 | np19py27_1 13.5 MB
Total: 19.4 MB
The following NEW packages will be INSTALLED:
The following packages will be UPDATED:
bokeh: 0.8.1-np19py27_0 --> 0.8.1-np19py27_1
conda: 3.9.1-py27_0 --> 3.10.0-py27_0
openssl: 1.0.1k-0 --> 1.0.1k-1
pandas: 0.15.2-np19py27_0 --> 0.15.2-np19py27_1
pytz: 2014.9-py27_0 --> 2015.2-py27_0
requests: 2.5.3-py27_0 --> 2.6.0-py27_0
setuptools: 14.0-py27_0 --> 14.3-py27_0
sqlite: 220.127.116.11-0 --> 18.104.22.168-1
tk: 8.5.15-0 --> 8.5.18-0
On Thursday, 26 March 2015 08:19:35 UTC+8, Damian Avila wrote:
We are excited to announce the release of version 0.8.2 of Bokeh, an interactive web plotting library for Python... and other languages! This minor release includes some refactoring, many bug fixes and nice improved documentation.
* Collect implicit interfaces into a single bokeh.io module
* Fixed notebook css issues
* Update notebooks to be compatible with IPython 3.0
* Easy bokeh applet generation using the simpleapp module
* Develop installation enhancements
* A new User guide intro and some other docs styling enhancements
* Some other minor examples bugfixes
See the CHANGELOG for full details.
If you are using Anaconda/miniconda, you can install it with conda:
conda install -c bokeh bokeh
Note: please check that we have added the -c bokeh subcommand which points to the main channel of the Binstar bokeh user.
Additionally, this release will be available on the regular repo in a week or so.
If you want to avoid the -c bokeh subcommand you can add this channel to your .condarc file with:
conda config --add channels bokeh
and then you will be able to just use the original command:
conda install bokeh
Alternatively, you can install with pip:
pip install bokeh
Developer builds are also now made available to get features in the hands of interested users more quickly. See the Developer Builds section in the documentation for more details.
Finally, BokehJS is also installable with the Node Package Manager at https://www.npmjs.com/package/bokehjs
Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh
Questions can be directed to the Bokeh mailing list: [email protected]
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