ANN: Bokeh 0.8.2 released

Hi all,

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.

BokehJS is also available by CDN for use in standalone Javascript applications:

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]

Cheers!

···


Damián Avila

Continuum Analytics

[email protected]

Hi Damian,

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

<details class='elided'>
<summary title='Show trimmed content'>&#183;&#183;&#183;</summary>

------------------------------------------------------------

Total:        19.4 MB

The following NEW packages will be INSTALLED:

python-dateutil: 2.4.1-py27_0

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:          3.8.4.1-0         --> 3.8.4.1-1

tk:              8.5.15-0          --> 8.5.18-0

On Thursday, 26 March 2015 08:19:35 UTC+8, Damian Avila wrote:

Hi all,

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.

BokehJS is also available by CDN for use in standalone Javascript applications:

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]

Cheers!


Damián Avila

Continuum Analytics

[email protected]

Nicolas,

The package is currently only hosted on the Bokeh channel of binstar.org, and not yet on the default conda channel. For now you have to follow the exact instructions Damian gave below, which are slightly different than usual:

  conda install -c bokeh bokeh

Note the "-c bokeh" in the middle.

Thanks,

Bryan

···

On Mar 26, 2015, at 10:49 PM, Nicolas Paris <[email protected]> wrote:

Hi Damian,

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:

    python-dateutil: 2.4.1-py27_0

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:          3.8.4.1-0         --> 3.8.4.1-1
    tk:              8.5.15-0          --> 8.5.18-0

On Thursday, 26 March 2015 08:19:35 UTC+8, Damian Avila wrote:
Hi all,

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.

BokehJS is also available by CDN for use in standalone Javascript applications:

* http://cdn.pydata.org/bokeh/release/bokeh-0.8.2.min.js
* http://cdn.pydata.org/bokeh/release/bokeh-0.8.2.min.css

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]

Cheers!

--
Damián Avila
Continuum Analytics
[email protected]

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I am going to top post to say, thank you very much for your efforts on Bokeh.

Love it.

···

On Thursday, 26 March 2015 11:19:36 UTC+11, Damian Avila wrote:

Hi all,

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.

BokehJS is also available by CDN for use in standalone Javascript applications:

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]

Cheers!

Thanks Bryan. I guess I was just too impatient to get my hands on the new release !

···

On Friday, 27 March 2015 14:35:32 UTC+8, Bryan Van de ven wrote:

Nicolas,

The package is currently only hosted on the Bokeh channel of binstar.org, and not yet on the default conda channel. For now you have to follow the exact instructions Damian gave below, which are slightly different than usual:

    conda install -c bokeh bokeh

Note the “-c bokeh” in the middle.

Thanks,

Bryan

On Mar 26, 2015, at 10:49 PM, Nicolas Paris [email protected] wrote:

Hi Damian,

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:

python-dateutil: 2.4.1-py27_0

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:          3.8.4.1-0         --> 3.8.4.1-1
tk:              8.5.15-0          --> 8.5.18-0

On Thursday, 26 March 2015 08:19:35 UTC+8, Damian Avila wrote:

Hi all,

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.

BokehJS is also available by CDN for use in standalone Javascript applications:

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]

Cheers!


Damián Avila

Continuum Analytics

[email protected]


You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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