Update TODOs

1 files changed, 26 insertions, 22 deletions

diff --git a/README.rst b/README.rst
index d90f160..a412ec9 100644
--- a/README.rst
+++ b/README.rst
@@ -3,15 +3,15 @@ Tablib: format-agnostic tabular dataset library
 
 ::
 
-	_____         ______  ___________ ______  
-	__  /_______ ____  /_ ___  /___(_)___  /_ 
+	_____         ______  ___________ ______
+	__  /_______ ____  /_ ___  /___(_)___  /_
 	_  __/_  __ `/__  __ \__  / __  / __  __ \
 	/ /_  / /_/ / _  /_/ /_  /  _  /  _  /_/ /
 	\__/  \__,_/  /_.___/ /_/   /_/   /_.___/
 
 
 
-Tablib is a format-agnostic tabular dataset library, written in Python. 
+Tablib is a format-agnostic tabular dataset library, written in Python.
 
 Output formats supported:
 
@@ -29,23 +29,23 @@ Overview
 
 `tablib.Dataset()`
 	A Dataset is a table of tabular data. It may or may not have a header row. They can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
-	
+
 `tablib.Databook()`
 	A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to Excel (XLS), JSON, and YAML.
 
 Usage
 -----
 
-    
+
 Populate fresh data files: ::
-    
+
     headers = ('first_name', 'last_name')
 
     data = [
         ('John', 'Adams'),
         ('George', 'Washington')
     ]
-    
+
     data = tablib.Dataset(*data, headers=headers)
 
 
@@ -56,12 +56,12 @@ Intelligently add new rows: ::
 Intelligently add new columns: ::
 
     >>> data.append(col=(90, 67, 83), header='age')
-    
+
 Slice rows:  ::
 
     >>> print data[:2]
     [('John', 'Adams', 90), ('George', 'Washington', 67)]
-    
+
 
 Slice columns by header: ::
 
@@ -77,7 +77,7 @@ Exports
 
 Drumroll please...........
 
-JSON! 
+JSON!
 +++++
 ::
 
@@ -94,26 +94,26 @@ JSON!
 	    "first_name": "Henry"
 	  }
 	]
-	
 
-YAML! 
+
+YAML!
 +++++
 ::
 
 	>>> print data.yaml
 	- {age: 90, first_name: John, last_name: Adams}
 	- {age: 83, first_name: Henry, last_name: Ford}
-	
-CSV... 
+
+CSV...
 ++++++
 ::
 
 	>>> print data.csv
-	first_name,last_name,age 
-	John,Adams,90 
-	Henry,Ford,83 
-	
-EXCEL! 
+	first_name,last_name,age
+	John,Adams,90
+	Henry,Ford,83
+
+EXCEL!
 ++++++
 ::
 
@@ -128,15 +128,17 @@ Installation
 To install tablib, simply: ::
 
 	$ pip install tablib
-	
+
 Or, if you absolutely must: ::
 
 	$ easy_install tablib
-   
+
 Contribute
 ----------
 
-If you'd like to contribute, simply fork `the repository`_, commit your changes to the **develop** branch (or branch off of it), and send a pull request. Make sure you add yourself to AUTHORS_.
+If you'd like to contribute, simply fork `the repository`_, commit your
+changes to the **develop** branch (or branch off of it), and send a pull
+request. Make sure you add yourself to AUTHORS_.
 
 
 Roadmap
@@ -145,6 +147,8 @@ Roadmap
 v1.0.0:
    - Add hooks system
    - Tablib.ext namespace
+   - Better 2.x/3.x handling (currently internal codebase fork)
+   - Width detection on XLS out
 
 
 .. _`the repository`: http://github.com/kennethreitz/tablib