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Website update #936

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merged 11 commits into from Oct 28, 2016
Merged

Website update #936

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75b9ef5
Updated latest news items on website
philippjfr Oct 11, 2016
c298ff4
Added mention of xarray
jbednar Oct 14, 2016
dc20c54
Fixed broken link; still temporary since it points to geoviews
jbednar Oct 14, 2016
8906377
Added link to the dev portion of the website
jlstevens Oct 27, 2016
c85b0ab
Simplified introductory paragraph on the homepage
jlstevens Oct 27, 2016
5ee62fe
Updated Tutorials/index.rst page to link to holoviews-contrib
jlstevens Oct 27, 2016
6dfc075
Minor edit to Tutorial index
jlstevens Oct 27, 2016
340c834
Removed broken link in Tutorials index
jbednar Oct 28, 2016
d447b6e
Made homepage consistent after text deleted
jbednar Oct 28, 2016
b2a4bc6
Merge branch 'master' into website_update
philippjfr Oct 28, 2016
c3cec0c
Restored link that works only on live site
jbednar Oct 28, 2016
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4 changes: 2 additions & 2 deletions doc/Homepage.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"HoloViews is a [Python](http://python.org) library that makes analyzing and visualizing scientific or engineering data much simpler, more intuitive, and more easily reproducible. Without HoloViews, there are typically many steps required before you can see your data, whether you use a GUI interactively or write a function or script to build up a plot. HoloViews instead lets you store your data in an annotated format that is instantly visualizable, with immediate access to both the numeric data *and* its visualization. For instance, if you wrap a two-dimensional dataset like the fractal below ([mandelbrot.npy](https://github.com/ioam/holoviews/raw/master/doc/mandelbrot.npy)) in a HoloViews ``Image`` object named ``fractal``, you can either type ``fractal.data`` to get at the underlying NumPy array, or just ``fractal`` to have it visualize itself automatically in an [IPython/Jupyter Notebook](http://ipython.org/notebook/). Most importantly, combining the fractal image with other objects is now easy -- you can e.g. view it annotated with a horizontal line and a histogram, next to a slice of it from the indicated cross-section, all without writing any plotting code explicitly:"
"HoloViews is a [Python](http://python.org) library that makes analyzing and visualizing scientific or engineering data much simpler, more intuitive, and more easily reproducible. HoloViews instead lets you store your data in an annotated format that is instantly visualizable, with immediate access to both the numeric data *and* its visualization. Examples of how HoloViews is used in Python scripts as well as in live [Jupyter Notebooks](http://ipython.org/notebook/) may be accessed directly from the [holoviews-contrib](https://github.com/ioam/holoviews-contrib) repository. Here is a quick example of HoloViews in action:"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
"version": "2.7.12"
}
},
"nbformat": 4,
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12 changes: 8 additions & 4 deletions doc/Tutorials/index.rst
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HoloViews Tutorials
*******************

The HoloViews tutorials are the best way to learn what HoloViews can
do and how to use it. The web site has static copies of each
tutorial, but it is much more effective to install HoloViews and try
it out live for yourself, using the notebook files in this `tutorial notebooks`_.
The HoloViews tutorials are the best way to learn what HoloViews can do
and how to use it. The web site has static copies of each tutorial, but
you may also try out live copies on `mybinder.org
<http://mybinder.org/repo/ioam/holoviews-contrib>`_ where you can also
explore many other examples in our `contrib repository
<https://github.com/ioam/holoviews-contrib>`_. Lastly, for the most
responsive experience, you can install HoloViews and try out the
tutorial notebooks for yourself.

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I don't know what this was meant to link to, but it wasn't linking to anything anymore.

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This isn't a broken link - it gets replaced with the right link based on the current version in setup.py. See the replacement here.

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Ah. Way too tricky! In that case, why is it linking to the bogus 1.5.0 version then on the live site, since setup.py was surely declaring 1.6.2?

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@jlstevens jlstevens Oct 28, 2016 •
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It works just fine which is why the dev version is correctly pointing to 1.6.2 - the issue is that we need to copy the files from the dev version over to the main website on release. I think what happened is that the website building infrastructure broke at some point so that the files must have been stale.

What I do know is that there are tricky bits to updating the docs/website but thankfully this isn't one of them! :-)

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Do we have a way to do website fixes for a particular release, rather than for the current master? I.e. if we wanted to update the website now, then it would be updated with the git version of holoviews, not the latest release. Are we only able to update it just after a release?


Introductory Tutorials
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9 changes: 6 additions & 3 deletions doc/features.rst
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**Integration with third-party libraries**

* Flexible interface to both the `pandas and Seaborn libraries <Tutorials/Pandas_Seaborn.html>`_
* Immediately visualize pandas data as any HoloViews object.
* Seamlessly combine and animate your Seaborn plots in HoloViews rich, compositional data-structures.
* Works natively with data in Python data structures,
`Pandas <http://dev.holoviews.org/Tutorials/Columnar_Data.html>`_ dataframes, and
Numpy and `xarray <http://geo.holoviews.org/Gridded_Datasets_I.html>`_ multidimensional arrays.
* Includes visualizations from `Seaborn <Tutorials/Pandas_Seaborn.html>`_.
* Seamlessly animate your Seaborn plots in HoloViews rich, compositional data-structures.
* Combine plots rendered by Seaborn, Matplotlib, and Bokeh in the same document, as needed
29 changes: 14 additions & 15 deletions doc/latest_news.html
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<div class="alert alert-info" role="alert">
<strong>Latest updates</strong>
<br/>
May 11th 2016: HoloViews 1.5.0 released and now available on
<a href="https://pypi.python.org/pypi/holoviews/">PyPI</a> and
<a href="https://anaconda.org/ioam/holoviews">Anaconda</a>.
<br/>
December 5th 2015: Now includes extensive support for the <a href="http://bokeh.pydata.org">Bokeh</a> plotting library.
<br/>
May 14th 2015:
<a href="http://scipy2015.scipy.org/ehome/115969/292868/">Talk</a>
and <a href="http://conference.scipy.org/proceedings/scipy2015/pdfs/jean-luc_stevens.pdf">paper</a> on HoloViews to appear at the SciPy 2015 conference.
<br/>
Mar 19th 2015: HoloViews now available on <a href="https://cloud.sagemath.com">SageMathCloud</a>.
<br/>
Feb 25th 2015: HoloViews announced as the winner in its category at the <a href="http://www.opensourceawards.org/index.php/winners">UK Open Source Awards 2015</a>.

<center><strong>For the latest development version of the documentation please visit <a href="http://dev.holoviews.org">dev.holoviews.org</a></strong></center>
<br/>
<strong>Latest updates</strong>
<br/>
Aug 23rd 2016: HoloViews 1.6.2 released and now available on <a href="https://pypi.python.org/pypi/holoviews/">PyPI</a> and <a href="https://anaconda.org/ioam/holoviews">Anaconda</a>.
<br/>
Aug 22nd 2016: Released the <a href="https://geo.holoviews.org/">GeoViews</a> library extending HoloViews with support for geographic plots and projections.
<br/>
December 5th 2015: Now includes extensive support for the <a href="http://bokeh.pydata.org">Bokeh</a> plotting library.
<br/>
May 14th 2015: <a href="http://scipy2015.scipy.org/ehome/115969/292868/">Talk</a> and <a href="http://conference.scipy.org/proceedings/scipy2015/pdfs/jean-luc_stevens.pdf">paper</a> on HoloViews to appear at the SciPy 2015 conference.
<br/>
Feb 25th 2015: HoloViews announced as the winner in its category at the <a href="http://www.opensourceawards.org/index.php/winners">UK Open Source Awards 2015</a>.
</div>