Change README links to nbviewer

Author: jakevdp

README.md

@@ -11,30 +11,30 @@ This repository will contain the full listing of IPython notebooks used to creat
 
 ---
 
-### [Table of Contents](notebooks/Index.ipynb)
-
-### [Preface](notebooks/00.00-Preface.ipynb)
-
-### [1. IPython: Beyond Normal Python](notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
-- [Help and Documentation in IPython](notebooks/01.01-Help-And-Documentation.ipynb)
-- [Keyboard Shortcuts in the IPython Shell](notebooks/01.02-Shell-Keyboard-Shortcuts.ipynb)
-- [IPython Magic Commands](notebooks/01.03-Magic-Commands.ipynb)
-- [Input and Output History](notebooks/01.04-Input-Output-History.ipynb)
-- [IPython and Shell Commands](notebooks/01.05-IPython-And-Shell-Commands.ipynb)
-- [Errors and Debugging](notebooks/01.06-Errors-and-Debugging.ipynb)
-- [Profiling and Timing Code](notebooks/01.07-Timing-and-Profiling.ipynb)
-- [More IPython Resources](notebooks/01.08-More-IPython-Resources.ipynb)
-
-### [2. Introduction to NumPy](notebooks/02.00-Introduction-to-NumPy.ipynb)
-- [Understanding Data Types in Python](notebooks/02.01-Understanding-Data-Types.ipynb)
-- [The Basics of NumPy Arrays](notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb)
-- [Computation on NumPy Arrays: Universal Functions](notebooks/02.03-Computation-on-arrays-ufuncs.ipynb)
-- [Aggregations: Min, Max, and Everything In Between](notebooks/02.04-Computation-on-arrays-aggregates.ipynb)
-- [Computation on Arrays: Broadcasting](notebooks/02.05-Computation-on-arrays-broadcasting.ipynb)
-- [Comparisons, Masks, and Boolean Logic](notebooks/02.06-Boolean-Arrays-and-Masks.ipynb)
-- [Fancy Indexing](notebooks/02.07-Fancy-Indexing.ipynb)
-- [Sorting Arrays](notebooks/02.08-Sorting.ipynb)
-- [Structured Data: NumPy's Structured Arrays](notebooks/02.09-Structured-Data-NumPy.ipynb)
+### [Table of Contents](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb)
+
+### [Preface](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/00.00-Preface.ipynb)
+
+### [1. IPython: Beyond Normal Python](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
+- [Help and Documentation in IPython](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.01-Help-And-Documentation.ipynb)
+- [Keyboard Shortcuts in the IPython Shell](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.02-Shell-Keyboard-Shortcuts.ipynb)
+- [IPython Magic Commands](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.03-Magic-Commands.ipynb)
+- [Input and Output History](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.04-Input-Output-History.ipynb)
+- [IPython and Shell Commands](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.05-IPython-And-Shell-Commands.ipynb)
+- [Errors and Debugging](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.06-Errors-and-Debugging.ipynb)
+- [Profiling and Timing Code](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.07-Timing-and-Profiling.ipynb)
+- [More IPython Resources](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/01.08-More-IPython-Resources.ipynb)
+
+### [2. Introduction to NumPy](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.00-Introduction-to-NumPy.ipynb)
+- [Understanding Data Types in Python](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.01-Understanding-Data-Types.ipynb)
+- [The Basics of NumPy Arrays](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb)
+- [Computation on NumPy Arrays: Universal Functions](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.03-Computation-on-arrays-ufuncs.ipynb)
+- [Aggregations: Min, Max, and Everything In Between](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.04-Computation-on-arrays-aggregates.ipynb)
+- [Computation on Arrays: Broadcasting](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.05-Computation-on-arrays-broadcasting.ipynb)
+- [Comparisons, Masks, and Boolean Logic](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.06-Boolean-Arrays-and-Masks.ipynb)
+- [Fancy Indexing](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.07-Fancy-Indexing.ipynb)
+- [Sorting Arrays](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.08-Sorting.ipynb)
+- [Structured Data: NumPy's Structured Arrays](http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.09-Structured-Data-NumPy.ipynb)
 
 #### 3. Data Manipulation with Pandas *(coming soon)*