diff --git a/matplotlib.cabal b/matplotlib.cabal
--- a/matplotlib.cabal
+++ b/matplotlib.cabal
@@ -1,5 +1,5 @@
 name:                matplotlib
-version:             0.7.6
+version:             0.7.7
 synopsis:            Bindings to Matplotlib; a Python plotting library
 description:
     Matplotlib is probably the most full featured plotting library out there.
diff --git a/src/Graphics/Matplotlib.hs b/src/Graphics/Matplotlib.hs
--- a/src/Graphics/Matplotlib.hs
+++ b/src/Graphics/Matplotlib.hs
@@ -4,20 +4,23 @@
 -- Matplotlib bindings and an interface to easily bind to new portions of the
 -- API. The most essential parts of Matplotlib are wrapped and exposed to
 -- Haskell through an interface that allows extenisbility. Code is generated on
--- the fly and python is called.
+-- the fly and Python is called.
 --
--- This is not a very Haskell-ish library. Type safety is non-existent, it's
--- easy to generate incorrect Python code, in exchange for being able to bind to
+-- You should start by looking at the tests, they demonstrate how to create many
+-- different types of plots.
+--
+-- This is not a very Haskell-ish library. Type safety is non-existent. It's
+-- easy to generate incorrect Python code. But in exchange, we can bind to
 -- arbitrary matplotlib APIs with ease, so it's also easy to generate correct
--- python code.
+-- Python code.
 --
--- The generated code follows a few simple conventions.  data is always loaded
--- into a data variable that is a python array. Data is transffered via
--- json. This data variable is indexed by various rendering commands.
+-- The generated code follows a few simple conventions. Data is always loaded
+-- into a data variable that is a Python array. Data is transffered via
+-- JSON. This data variable is indexed by various rendering commands.
 --
 -- Functions which start with the word data operate on the data array, arguments
--- are python code that should access that array. Most other functions take
--- haskell objects and load them into python.
+-- are Python code that should access that array. Most other functions take
+-- Haskell objects and load them into Python.
 --
 -- This module should expose enough tools so that you can bind any part of the
 -- matplotlib API. A binding with options, such as that of 'plot', looks like:
@@ -30,11 +33,13 @@
 --
 -- Where important functions are:
 --
---   [@'readData'@] Load the given data into the python data array by serializing it to JSON.
+--   [@'readData'@] Load the given data by serializing it to JSON and place it in a Python array named "data".
+--   [@'readImage'@] Load an image from a given path and place it in a Python variable named "img".
 --   [@'%'@] Sequence two plots
 --   [@'mp'@] Create an empty plot
---   [@'#'@] Append python code to the last command in a plot
+--   [@'#'@] Append Python code to the last command in a plot
 --   [@'##'@] Just like '#' but also adds in a placeholder for an options list
+--   [@'bindDefault'@] Set a default in the last options list, keeping it open for additions
 --
 -- You can call this plot with
 --
@@ -42,8 +47,8 @@
 --
 -- where '@@' applies an options list replacing the last '##'
 --
---  [@'o1'@] A single positional option. The value is rendered into python as
---  the appropriate datatype. Strings become python strings, bools become bools,
+--  [@'o1'@] A single positional option. The value is rendered into Python as
+--  the appropriate datatype. Strings become Python strings, bools become bools,
 --  etc. If you want to insert code verbatim into an option use 'lit'. If you
 --  want to have a raw string with no escapes use 'raw'.
 --  [@'o2'@] A keyword option. The key is always a string, the value is treated
@@ -58,13 +63,13 @@
 -- itself; the two APIs are almost identical. When creating low-level bindings
 -- one must remember to call "plot.sci" to set the current image when plotting a
 -- graph. The current spine of the axes that's being manipulated is in
--- "spine". The current quiver is in "q"
+-- "spine". The current quiver is in "q".
 -----------------------------------------------------------------------------
 
 module Graphics.Matplotlib
   ( module Graphics.Matplotlib
     -- * Creating custom plots and applying options
-  , Matplotlib(), Option(),(@@), (%), o1, o2, (##), (#), mp, def, readData, readImage
+  , Matplotlib(), Option(),(@@), (%), o1, o2, (##), (#), mp, bindDefault, readData, readImage
   , str, raw, lit, updateAxes, updateFigure, mapLinear)
 where
 import Data.List
@@ -125,7 +130,7 @@
 
 -- | Plot a line
 line :: (ToJSON t1, ToJSON t) => t1 -> t -> Matplotlib
-line x y = plot x y `def` [o1 "-"]
+line x y = plot x y `bindDefault` [o1 "-"]
 
 -- | Like 'plot' but takes an error bar value per point
 -- errorbar :: (ToJSON x, ToJSON y, ToJSON xs, ToJSON ys) => x -> y -> Maybe xs -> Maybe ys -> Matplotlib
@@ -135,7 +140,7 @@
 -- | Plot a line given a function that will be executed for each element of
 -- given list. The list provides the x values, the function the y values.
 lineF :: (ToJSON a, ToJSON b) => (a -> b) -> [a] -> Matplotlib
-lineF f l = plot l (map f l) `def` [o1 "-"]
+lineF f l = plot l (map f l) `bindDefault` [o1 "-"]
 
 -- | Create a box plot for the given data
 boxplot d = readData d
@@ -166,7 +171,7 @@
 plotInterpolated x y n =
   readData (x, y)
   % interpolate 0 1 n
-  % dataPlot 0 1 `def` [o1 "-"]
+  % dataPlot 0 1 `bindDefault` [o1 "-"]
 
 -- | A handy function to plot a line between two points give a function and a number o steps
 plotMapLinear :: ToJSON b => (Double -> b) -> Double -> Double -> Double -> Matplotlib
@@ -246,7 +251,7 @@
 dateLine x y xunit (yearStart, monthStart, dayStart) =
     readData (x, y)
   % mp # "data[0] = [datetime.timedelta("#xunit#"=i) + datetime.datetime("#yearStart#","#monthStart#","#dayStart#") for i in data[0]]"
-  % dataPlot 0 1 `def` [o1 "-"]
+  % dataPlot 0 1 `bindDefault` [o1 "-"]
   % mp # "ax.xaxis.set_major_formatter(DateFormatter('%B'))"
   % mp # "ax.xaxis.set_minor_locator(WeekdayLocator(byweekday=6))"
 
@@ -256,11 +261,11 @@
 
 -- | Create a scatter plot accessing the given fields of the data array
 dataScatter :: (MplotValue val1, MplotValue val) => val1 -> val -> Matplotlib
-dataScatter a b = dataPlot a b `def` [o1 "."]
+dataScatter a b = dataPlot a b `bindDefault` [o1 "."]
 
 -- | Create a line accessing the given entires of the data array
 dataLine :: (MplotValue val1, MplotValue val) => val1 -> val -> Matplotlib
-dataLine a b = dataPlot a b `def` [o1 "-"]
+dataLine a b = dataPlot a b `bindDefault` [o1 "-"]
 
 -- | Create a 3D contour
 contour xs ys zs =
diff --git a/src/Graphics/Matplotlib/Internal.hs b/src/Graphics/Matplotlib/Internal.hs
--- a/src/Graphics/Matplotlib/Internal.hs
+++ b/src/Graphics/Matplotlib/Internal.hs
@@ -295,13 +295,13 @@
 m @@ os = option m os
 
 -- | Bind a list of default options to a plot. Positional options are kept in
--- order and default that way as well. Keyword arguments are
-def :: Matplotlib -> [Option] -> Matplotlib
-def m os = optionFn (defFn os) m
+-- order and default that way as well. Keyword arguments are also handled
+bindDefault :: Matplotlib -> [Option] -> Matplotlib
+bindDefault m os = optionFn (bindDefaultFn os) m
 
 -- | Merge two sets of options
-defFn :: [Option] -> [Option] -> [Option]
-defFn os os' = merge ps' ps ++ (nub $ ks' ++ ks)
+bindDefaultFn :: [Option] -> [Option] -> [Option]
+bindDefaultFn os os' = merge ps' ps ++ (nub $ ks' ++ ks)
            where isK (K _ _) = True
                  isK _ = False
                  isP (P _) = True