Add release notes and features pages to the documentation.

Author: tshead2

docs/ethos.rst

@@ -7,11 +7,11 @@
 The Toyplot Ethos
 =================
 
-What began as a quick workaround to reduce the size of animations in IPython
-quickly grew into Toyplot, "the kid-sized plotting toolkit with grownup-sized
-goals".  In a nutshell, we think that scientists and engineers should expect
-more from their plots: more interaction, more reproducibility, greater clarity,
-and better aesthetics.
+What began as a quick workaround to reduce the size of animated figures in
+IPython quickly grew into Toyplot, "the kid-sized plotting toolkit with
+grownup-sized goals".  In a nutshell, we think that scientists and engineers
+should expect more from their plots, including: explicit support for
+reproducibility and open science, greater clarity, and better aesthetics.
 
 We especially feel that, in an age of ubiquitous electronic media and the web,
 it makes little sense to publish using media (such as PDF) designed to mimic
@@ -20,16 +20,16 @@ HTML, and Javascript - as its primary medium, so we can make useful new
 interactions part of the everyday experiences of data graphic users.  Because
 we're passionate about publishing and sharing results, Toyplot graphics are
 completely self-contained and embeddable, without the need for a server.  All
-of the Toyplot graphics you see in these pages are live and interactive,
-despite the fact that they were created offline in an IPython notebook and
-passed through several publishing steps on the way to becoming our
-documentation.  Of course, we provide backends to publish Toyplot figures
-to legacy formats including PNG, PDF, Encapsulated Postscript, and MP4.
+of the Toyplot graphics you will see in this documentation are live and
+interactive, despite the fact that they were created offline in an IPython
+notebook and passed through several publishing steps on the way to becoming our
+documentation.  Of course, we provide backends to publish Toyplot figures to
+legacy formats including PNG, PDF, Encapsulated Postscript, and MP4.
 
 Interactivity includes obvious things such as zooming and panning.  But beyond
-that, Toyplot is exploring ideas from efficient animation that doesn't impact
-the quality of the graphic to interactive data cursors that display quantities
-of interest and descriptive statistics by pointing at the figure.  And since
+that, Toyplot is exploring ideas including efficient animation that doesn't impact
+the quality of the graphic, and interactive data cursors that display quantities
+of interest and descriptive statistics just by hovering the mouse.  And since
 the raw data is already implicitly embedded in a graphic, why not support
 reproducibility by making it easy to export, so the viewer can work with it
 themselves?  That's why Toyplot has a context menu to export raw data from a

docs/features.rst

@@ -0,0 +1,18 @@
+.. _Features:
+
+.. image:: ../artwork/toyplot.png
+  :width: 300px
+  :align: right
+
+Toyplot Features
+================
+
+* Plot types: bar plots, filled region plots, line plots, scatter plots, rectangle plots, text plots.
+* Styling: all plot elements stylable using CSS.
+* Integrates with IPython without any need for plugins, magics, etc.
+* Interaction types: display interactive mouse coordinates, export figure data to CSV.
+* Interactive output formats: Embeddable, self-contained HTML+SVG+Javascript.
+* Static output formats: SVG, PNG, PDF, EPS, MP4.
+* Portability: common code base for Python 2.7 / Python 3.4.
+* Testing: greater-than-95% regression test coverage.
+

docs/index.rst

@@ -24,12 +24,14 @@ Documentation
 .. toctree::
    :maxdepth: 2
 
+   features.rst
    ethos.rst
    dependencies.rst
    installation.rst
    tutorial.rst
    user-guide.rst
    contributing.rst
+   release-notes.rst
    reference.rst
    contacts.rst
 

docs/release-notes.rst

@@ -0,0 +1,20 @@
+.. _Release Notes:
+
+.. image:: ../artwork/toyplot.png
+  :width: 200px
+  :align: right
+
+Release Notes
+=============
+
+Toyplot 0.2.0 - September 2, 2014
+---------------------------------
+
+* Introduced support for Python 3.
+* Removed pure black from the default styling.
+* Allow regression tests to run without optional dependencies.
+
+Toyplot 0.1.0 - August 25, 2014
+-------------------------------
+
+* Initial Release