@@ -32,139 +32,137 @@ <h3 class="col-sm-12 section-header">Notebook Widgets</h3>
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</ section >
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< section >
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- < div class ="container ">
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- < div class ="tabbable tabs-left ">
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- < ul class ="nav nav-tabs ">
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- < li class ="active ">
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- < a href ="#ipyleaflet " data-toggle ="tab ">
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- < p > ipyleaflet</ p >
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- < p > Geo-spatial analytics</ p >
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- </ a > </ li >
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- < li >
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- < a href ="#bqplot " data-toggle ="tab ">
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- < p > bqplot</ p >
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- < p > Interactive 2-D data visualization</ p >
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+ < div class ="container ">
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+ < div class ="tabbable tabs-left ">
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+ < ul class ="nav nav-tabs ">
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+ < li class ="active ">
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+ < a href ="#ipyleaflet " data-toggle ="tab ">
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+ < p > ipyleaflet</ p >
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+ < p > Geo-spatial analytics</ p >
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+ </ a >
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+ </ li >
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+ < li >
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+ < a href ="#bqplot " data-toggle ="tab ">
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+ < p > bqplot</ p >
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+ < p > Interactive 2-D data visualization</ p >
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+ </ a >
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+ </ li >
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+ < li >
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+ < a href ="#pythreejs " data-toggle ="tab ">
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+ < p > pythreejs</ p >
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+ < p > 3-D data visualization</ p >
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+ </ a >
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+ </ li >
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+ < li >
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+ < a href ="#cookiecutter " data-toggle ="tab ">
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+ < p > cookiecutter</ p >
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+ < p > Template widget project</ p >
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+ </ a >
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+ </ li >
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+ </ ul >
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+ < div class ="tab-content ">
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+ < div class ="tab-pane active " id ="ipyleaflet ">
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+ < div class ="jupyter-widget-header ">
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+ < span class ="gallery-title "> ipyleaflet</ span >
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+ < span >
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+ < a href ="http://mybinder.org/repo/ellisonbg/ipyleaflet/notebooks/examples ">
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+ < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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+ </ a >
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+ < a href ="https://github.com/ellisonbg/ipyleaflet ">
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+ < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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+ </ a >
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+ </ span >
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+ </ div >
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+ < p >
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+ A library for creating simple interactive maps with panning and
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+ zooming. ipyleaflet supports annotations such as polygons,
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+ markers, and more generally any geojson-encoded geographical
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+ data structure.
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+ </ p >
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+ < h3 > Example</ h3 >
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+ {% highlight python %}{% include_relative assets/ipyleaflet-example.py %}{% endhighlight %}
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+ < script type ="application/vnd.jupyter-embedded-widgets ">
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+ { % include_relative assets / ipyleaflet - example . json % }
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+ </ script >
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+ < h3 > Installation</ h3 >
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+ With conda:
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+ {% highlight bash %}conda install -c conda-forge ipyleaflet{% endhighlight %}
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+ </ div >
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+ < div class ="tab-pane " id ="bqplot ">
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+ < div class ="jupyter-widget-header ">
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+ < span class ="gallery-title "> bqplot</ span >
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+ < span >
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+ < a href ="http://mybinder.org/repo/bloomberg/bqplot/notebooks/examples ">
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+ < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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+ </ a >
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+ < a href ="https://github.com/bloomberg/bqplot ">
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+ < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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+ </ a >
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+ </ span >
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+ </ div >
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+ < p >
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+ A 2-D interative data visualization library implementing the
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+ constructs of the grammar of graphics. bqplot provides a simple
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+ API for creating custom user interactions.
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+ </ p >
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+ < h3 > Example</ h3 >
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+ {% highlight python %}{% include_relative assets/bqplot-example.py %}{% endhighlight %}
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+ < script type ="application/vnd.jupyter-embedded-widgets ">
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+ { % include_relative assets / bqplot - example . json % }
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+ </ script >
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+ < h3 > Installation</ h3 >
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+ With conda:
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+ {% highlight bash %}conda install -c conda-forge bqplot{% endhighlight %}
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+ </ div >
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+ < div class ="tab-pane " id ="pythreejs ">
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+ < div class ="jupyter-widget-header ">
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+ < span class ="gallery-title "> pythreejs</ span >
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+ < span >
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+ < a href ="http://mybinder.org/repo/jovyan/pythreejs/notebooks/examples ">
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+ < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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</ a >
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- </ li >
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- < li >
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- < a href ="#pythreejs " data-toggle ="tab ">
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- < p > pythreejs</ p >
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- < p > 3-D data visualization</ p >
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+ < a href ="https://github.com/jovyan/pythreejs ">
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+ < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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</ a >
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- </ li >
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- < li >
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- < a href ="#cookiecutter " data-toggle ="tab ">
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- < p > cookiecutter</ p >
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- < p > Template widget project</ p >
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+ </ span >
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+ </ div >
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+ < p >
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+ A 3-D visualization library enabling GPU-accelerated computer
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+ graphics in Jupyter.
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+ </ p >
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+ < h3 > Example</ h3 >
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+ {% highlight python %}{% include_relative assets/pythreejs-example.py %}{% endhighlight %}
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+ < script type ="application/vnd.jupyter-embedded-widgets ">
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+ { % include_relative assets / pythreejs - example . json % }
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+ </ script >
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+ < h3 > Installation</ h3 >
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+ With conda:
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+ {% highlight bash %}conda install -c conda-forge pythreejs{% endhighlight %}
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+ </ div >
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+ < div class ="tab-pane " id ="cookiecutter ">
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+ < div class ="jupyter-widget-header ">
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+ < span class ="gallery-title "> widget cookiecutter</ span >
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+ < span >
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+ < a href ="https://github.com/jupyter/widget-cookiecutter ">
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+ < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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</ a >
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- </ li >
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- </ ul >
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- < div class ="tab-content ">
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- < div class ="tab-pane active " id ="ipyleaflet ">
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- < div class ="jupyter-widget-header ">
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- < span class ="gallery-title "> ipyleaflet</ span >
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- < span >
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- < a href ="http://mybinder.org/repo/ellisonbg/ipyleaflet/notebooks/examples ">
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- < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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- </ a >
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- < a href ="https://github.com/ellisonbg/ipyleaflet ">
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- < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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- </ a >
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- </ span >
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- </ div >
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- < p >
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- A library for creating simple interactive maps with panning and
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- zooming. ipyleaflet supports annotations such as polygons,
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- markers, and more generally any geojson-encoded geographical
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- data structure.
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- </ p >
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- < h3 > Example</ h3 >
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- {% highlight python %}{% include_relative assets/ipyleaflet-example.py %}{% endhighlight %}
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- < script type ="application/vnd.jupyter-embedded-widgets ">
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- { % include_relative assets / ipyleaflet - example . json % }
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- </ script >
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- < h3 > Installation</ h3 >
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- With conda:
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- {% highlight bash %}conda install -c conda-forge ipyleaflet{% endhighlight %}
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- </ div >
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- < div class ="tab-pane " id ="bqplot ">
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- < div class ="jupyter-widget-header ">
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- < span class ="gallery-title "> bqplot</ span >
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- < span >
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- < a href ="http://mybinder.org/repo/bloomberg/bqplot/notebooks/examples ">
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- < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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- </ a >
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- < a href ="https://github.com/bloomberg/bqplot ">
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- < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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- </ a >
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- </ span >
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- </ div >
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- < p >
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- A 2-D interative data visualization library implementing the
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- constructs of the grammar of graphics. bqplot provides a simple
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- API for creating custom user interactions.
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- </ p >
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- < h3 > Example</ h3 >
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- {% highlight python %}{% include_relative assets/bqplot-example.py %}{% endhighlight %}
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- < script type ="application/vnd.jupyter-embedded-widgets ">
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- { % include_relative assets / bqplot - example . json % }
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- </ script >
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- < h3 > Installation</ h3 >
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- With conda:
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- {% highlight bash %}conda install -c conda-forge bqplot{% endhighlight %}
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- </ div >
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- < div class ="tab-pane " id ="pythreejs ">
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- < div class ="jupyter-widget-header ">
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- < span class ="gallery-title "> pythreejs</ span >
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- < span >
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- < a href ="http://mybinder.org/repo/jovyan/pythreejs/notebooks/examples ">
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- < img class ="img-scaling " src ="assets/mybinder.svg " alt ="Binder ">
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- </ a >
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- < a href ="https://github.com/jovyan/pythreejs ">
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- < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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- </ a >
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- </ span >
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- </ div >
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- < p >
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- A 3-D visualization library enabling GPU-accelerated computer
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- graphics in Jupyter.
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- </ p >
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- < h3 > Example</ h3 >
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- {% highlight python %}{% include_relative assets/pythreejs-example.py %}{% endhighlight %}
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- < script type ="application/vnd.jupyter-embedded-widgets ">
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- { % include_relative assets / pythreejs - example . json % }
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- </ script >
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- < div >
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- < h3 > Installation</ h3 >
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- With conda:
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- {% highlight bash %}conda install -c conda-forge pythreejs{% endhighlight %}
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- </ div >
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- </ div >
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- < div class ="tab-pane " id ="cookiecutter ">
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- < div class ="jupyter-widget-header ">
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- < span class ="gallery-title "> widget cookiecutter</ span >
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- < span >
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- < a href ="https://github.com/jupyter/widget-cookiecutter ">
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- < img class ="img-scaling " src ="assets/github.svg " alt ="GitHub ">
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- </ a >
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- </ span >
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- </ div >
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- < p >
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- The Jupyter widget framework is extensible and enables developers to create custom
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- widget libraries and bindings for visualization libraries of the JavaScript ecosystem.
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- </ p >
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- < p >
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- The < code > cookiecutter</ code > project helps widget authors get up to speed with the
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- packaging and distribution of Jupyter interactive widgets.
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- </ p >
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- < p >
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- It produces a base project for a Jupyter interactive widget library following the current best practices.
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- An implementation for a placeholder "Hello World" widget is provided. Following these practices will
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- help make your custom widgets work in static web pages (like the examples of this page) and be compatible
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- with future versions of Jupyter.
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- </ p >
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- </ div >
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+ </ span >
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+ </ div >
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+ < p >
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+ The Jupyter widget framework is extensible and enables developers to create custom
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+ widget libraries and bindings for visualization libraries of the JavaScript ecosystem.
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+ </ p >
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+ < p >
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+ The < code > cookiecutter</ code > project helps widget authors get up to speed with the
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+ packaging and distribution of Jupyter interactive widgets.
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+ </ p >
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+ < p >
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+ It produces a base project for a Jupyter interactive widget library following the current best practices.
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+ An implementation for a placeholder "Hello World" widget is provided. Following these practices will
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+ help make your custom widgets work in static web pages (like the examples of this page) and be compatible
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+ with future versions of Jupyter.
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+ </ p >
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</ div >
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</ div >
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- </ div >
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+ </ div >
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</ section >
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