DOC: add 'pandas ecosystem' section to docs

doc/source/ecosystem.rst

@@ -0,0 +1,60 @@
+****************
+Pandas Ecosystem
+****************
+
+Increasingly, packages are being built on top of pandas to address specific needs
+in data preparation, analysis and visualization.
+This is encouraging because it means pandas is not only helping users to handle
+their data tasks but also that provides a better starting point for developers to
+build powerful and more focused data tools.
+The creation of libraries that complement pandas' functionality also allows pandas
+development to remain focused around it's original requirements.
+
+This is an in-exhaustive list of projects that build on pandas in order to provide
+tools in the PyData space.
+
+We'd like to make it easier for users to find these project, if you know of other
+substantial projects that you feel should be on this list, please let us know.
+
+`Statsmodels <http://statsmodels.sourceforge.net>`__
+-----------
+
+Statsmodels is the prominent python "statistics and econometrics library" and it has
+a long-standing special relationship with pandas. Statsmodels provides powerful statistics,
+econometrics, analysis and modeling functionality that is out of pandas' scope.
+Statsmodels leverages pandas objects as the underlying data container for computation.
+
+`Vincent <https://github.com/wrobstory/vincent>`__
+-------
+
+The `Vincent <https://github.com/wrobstory/vincent>`__ project leverages `Vega <https://github.com/trifacta/vega>`__ to create
+plots (that in turn, leverages `d3 <http://d3js.org/>`__). It has great support for pandas data objects.
+
+`yhat/ggplot <https://github.com/yhat/ggplot>`__
+-----------
+
+Hadley Wickham's `ggplot2 <http://ggplot2.org/>`__is a foundational exploratory visualization package for the R language.
+Based on `"The Grammer of Graphics" <http://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
+provides a powerful, declarative and extremely general way to generate plots of arbitrary data.
+It's really quite incredible. Various implementations to other languages are available,
+but a faithful implementation for python users has long been missing. Although still young
+(as of Jan-2014), the `yhat/ggplot <https://github.com/yhat/ggplot>` project has been
+progressing quickly in that direction.
+
+
+`Seaborn <https://github.com/mwaskom/seaborn>`__
+-------
+
+Although pandas has quite a bit of "just plot it" functionality built-in, visualization and
+in particular statistical graphics is a vast field with a long tradition and lots of ground
+to cover. `The Seaborn project <https://github.com/mwaskom/seaborn>`__ builds on top of pandas
+and `matplotlib <http://matplotlib.org>`__ to provide easy plotting of data which extends to
+more advanced types of plots then those offered by pandas.
+
+
+`Geopandas <https://github.com/kjordahl/geopandas>`__
+---------
+
+Geopandas extends pandas data objects to include geographic information which support
+geometric operations. If your work entails maps and geographical coordinates, and
+you love pandas, you should take a close look at Geopandas.

doc/source/index.rst

@@ -130,7 +130,7 @@ See the package overview for more detail about what's in the library.
     sparse
     gotchas
     r_interface
-    related
+    ecosystem
     comparison_with_r
     comparison_with_sql
     api