From 87a03e44a8a384821e2a150d17374d28b8a06a4a Mon Sep 17 00:00:00 2001
From: crflynn <crf204@gmail.com>
Date: Mon, 8 Jan 2018 22:38:14 -0500
Subject: [PATCH] readme update

---
 README.rst | 109 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 109 insertions(+)

diff --git a/README.rst b/README.rst
index 1662fec..3d2fda3 100644
--- a/README.rst
+++ b/README.rst
@@ -3,3 +3,112 @@ voting
 
 A pure Python module for election quotas, voting measures, and apportionment
 methods.
+
+Installation
+------------
+
+The ``voting`` package works in Python 2.7, 3.4, 3.5, 3.6. It is available on
+pypi and can be installed using pip.
+
+.. code-block:: shell
+
+    pip install voting
+
+Package structure
+-----------------
+
+* voting
+
+  * apportionment
+
+    * adams
+    * dhondt
+    * hagenbach_bischoff
+    * hamilton
+    * huntington_hill
+    * jefferson
+    * sainte_lague
+    * vinton
+    * webster
+
+  * diversity
+
+    * berger_parker
+    * general
+    * gini_simpson
+    * golosov
+    * inverse_simpson
+    * laakso_taagepera
+    * renyi
+    * shannon
+    * simpson
+
+  * proportion
+
+    * adjusted
+    * dhondt
+    * gallagher
+    * grofman
+    * least_square
+    * lijphart
+    * loosemore_hanby
+    * rae
+    * regression
+    * rose
+    * sainte_lague
+
+  * quota
+
+    * droop
+    * hagenbach_bischoff
+    * hare
+    * imperiali
+
+Examples
+--------
+
+Apportioning seats using the Huntington-Hill method.
+
+.. code-block:: python
+
+    from voting import apportionment
+
+
+    votes = [2560, 3315, 995, 5012]
+    seats = 20
+    assignments = apportionment.huntington_hill(votes, seats)
+
+
+Calculating the effective number of parties using Golosov's measure.
+
+.. code-block:: python
+
+    from voting import diversity
+
+
+    parties = [750, 150, 50, 50]
+    effective_parties = diversity.golosov(parties)
+
+
+Measuring the disproportionality of democratic representation using the
+Sainte-Lague measure.
+
+.. code-block:: python
+
+    from voting import proportion
+
+
+    votes = [750, 150, 50, 50]
+    seats = [80, 16, 2, 2]
+    disproportionality = proportion.sainte_lague(votes, seats)
+
+Determining the Droop quota
+
+.. code-block:: python
+
+    from voting import quota
+
+
+    votes = 1000
+    seats = 20
+    election_quota = quota.droop(votes, seats)