add doc-string to top-level

pandas/__init__.py

@@ -62,3 +62,45 @@
 v = get_versions()
 __version__ = v.get('closest-tag', v['version'])
 del get_versions, v
+
+# module level doc-string
+__doc__ = """
+pandas - a powerful data analysis and manipulation library for Python
+=====================================================================
+
+**pandas** is a Python package providing fast, flexible, and expressive data
+structures designed to make working with "relational" or "labeled" data both
+easy and intuitive. It aims to be the fundamental high-level building block for
+doing practical, **real world** data analysis in Python. Additionally, it has
+the broader goal of becoming **the most powerful and flexible open source data
+analysis / manipulation tool available in any language**. It is already well on
+its way toward this goal.
+
+Main Features
+-------------
+Here are just a few of the things that pandas does well:
+
+  - Easy handling of missing data in floating point as well as non-floating
+    point data
+  - Size mutability: columns can be inserted and deleted from DataFrame and
+    higher dimensional objects
+  - Automatic and explicit data alignment: objects can  be explicitly aligned
+    to a set of labels, or the user can simply ignore the labels and let
+    `Series`, `DataFrame`, etc. automatically align the data for you in
+    computations
+  - Powerful, flexible group by functionality to perform split-apply-combine
+    operations on data sets, for both aggregating and transforming data
+  - Make it easy to convert ragged, differently-indexed data in other Python
+    and NumPy data structures into DataFrame objects
+  - Intelligent label-based slicing, fancy indexing, and subsetting of large
+    data sets
+  - Intuitive merging and joining data sets
+  - Flexible reshaping and pivoting of data sets
+  - Hierarchical labeling of axes (possible to have multiple labels per tick)
+  - Robust IO tools for loading data from flat files (CSV and delimited),
+    Excel files, databases, and saving/loading data from the ultrafast HDF5
+    format
+  - Time series-specific functionality: date range generation and frequency
+    conversion, moving window statistics, moving window linear regressions,
+    date shifting and lagging, etc.
+"""