Wrap lines in README

Author: jvns

README.md

@@ -3,31 +3,39 @@ pandas-cookbook
 
 Hello!
 
-The goal of this cookbook is to give you handholds for using [pandas](http://pandas.pydata.org/), Wes McKinney's fantastic library for data analysis in Python. It explains how to use pandas with practical examples and real-world data.
+The goal of this cookbook is to give you handholds for using
+[pandas](http://pandas.pydata.org/), Wes McKinney's fantastic library
+for data analysis in Python. It explains how to use pandas with
+practical examples and real-world data.
 
-This is an alpha cookbook! Chapters will be added here as I, you know, write them. Let me know if you have suggestions, or if there are bugs.
+This is an alpha cookbook! Chapters will be added here as I, you know,
+write them. Let me know if you have suggestions, or if there are bugs.
 
-It comes with batteries (data) included, so you can try out all the examples right away.
+It comes with batteries (data) included, so you can try out all the
+examples right away.
 
 Table of Contents
 =================
 
-[Chapter 1: Reading from a CSV](http://nbviewer.ipython.org/github/jvns/pandas-cookbook/blob/master/cookbook/Chapter%201%20-%20Reading%20from%20a%20CSV.ipynb)
+* [Chapter 1: Reading from a CSV](http://nbviewer.ipython.org/github/jvns/pandas-cookbook/blob/master/cookbook/Chapter%201%20-%20Reading%20from%20a%20CSV.ipynb)
 
 
 
 Installation
 ============
 
-You'll need an up-to-date version of IPython Notebook (>= 1.0) and pandas (>=0.12) for this to work properly
+You'll need an up-to-date version of IPython Notebook (>= 1.0) and
+pandas (>=0.12) for this to work properly
 
 You can get these using `pip`:
 
 ```
 pip install ipython pandas numpy
 ```
 
-Alternatively, I use and recommend [Anaconda](https://store.continuum.io/), which will give you everything you need. It's free and open source.
+Alternatively, I use and recommend
+[Anaconda](https://store.continuum.io/), which will give you everything
+you need. It's free and open source.
 
 Once you have pandas and IPython, you can get going!