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+# pydata-book
+Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
+
+## IPython Notebooks:
+
+* [Chapter 2: Introductory Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch02.ipynb)
+* [Chapter 4: NumPy Basics](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch04.ipynb)
+* [Chapter 5: Getting Started with Pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch05.ipynb)
+* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch06.ipynb)
+* [Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch07.ipynb)
+* [Chapter 8: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch08.ipynb)
+* [Chapter 9: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch09.ipynb)
+* [Chapter 10: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch10.ipynb)
+* [Chapter 11: Financial and Economic Data Applications](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch11.ipynb)
+* [Chapter 12: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch12.ipynb)
+* [Python Appendix](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/appendix_python.ipynb)
+* [2012 Federal Election Commission Database](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/fec_study.ipynb)
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