# pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,
published by O'Reilly Media
# 2nd Edition Readers
If you are reading the [2nd Edition][1], please find the reorganized book
materials on the [`2nd-edition` branch][2].
## IPython Notebooks:
* [Chapter 2: Introductory Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch02.ipynb)
* [Chapter 4: NumPy Basics](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch04.ipynb)
* [Chapter 5: Getting Started with Pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch05.ipynb)
* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch06.ipynb)
* [Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch07.ipynb)
* [Chapter 8: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch08.ipynb)
* [Chapter 9: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch09.ipynb)
* [Chapter 10: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch10.ipynb)
* [Chapter 11: Financial and Economic Data Applications](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch11.ipynb)
* [Chapter 12: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch12.ipynb)
* [Python Appendix](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/appendix_python.ipynb)
* [2012 Federal Election Commission Database](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/fec_study.ipynb)
[1]: http://shop.oreilly.com/product/0636920050896.do
[2]: https://github.com/wesm/pydata-book/tree/2nd-edition
基于python的数据分析
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基于python的数据分析 （101个子文件） 
COPYING 114B volume.csv 622KB stock_px.csv 391KB ratings.dat 23.45MB movies.dat 167KB users.dat 131KB .gitignore 18B ch02.ipynb 166KB appendix_python.ipynb 63KB ch05.ipynb 46KB ch07.ipynb 45KB ch10.ipynb 40KB ch09.ipynb 33KB ch11.ipynb 28KB ch04.ipynb 25KB ch12.ipynb 24KB ch08.ipynb 22KB fec_study.ipynb 21KB ch06.ipynb 19KB README.md 2KB
NationalReadMe.pdf 6KB yahoo_volume.pkl 68KB yahoo_price.pkl 68KB
stinkbug.png 106KB ch02_1.py 1KB ch02_2.py 1KB ipython_bug.py 218B README 5KB
usagov_bitly_data2012-03-16-1331923249.txt 1.52MB yob2008.txt 407KB yob2007.txt 406KB yob2009.txt 402KB yob2006.txt 396KB yob2010.txt 393KB yob2005.txt 378KB yob2004.txt 372KB yob2003.txt 362KB yob2002.txt 356KB yob2001.txt 352KB yob2000.txt 347KB yob1999.txt 333KB yob1998.txt 326KB yob1997.txt 315KB yob1996.txt 309KB yob1995.txt 306KB yob1994.txt 305KB yob1993.txt 304KB yob1924.txt 126KB yob1921.txt 125KB yob1922.txt 124KB yob1920.txt 124KB yob1925.txt 123KB yob1923.txt 123KB yob1926.txt 121KB yob1927.txt 121KB yob1918.txt 120KB yob1919.txt 119KB yob1928.txt 118KB yob1917.txt 114KB yob1929.txt 114KB yob1930.txt 113KB yob1916.txt 112KB yob1915.txt 108KB yob1931.txt 108KB yob1914.txt 91KB yob1913.txt 80KB yob1912.txt 73KB yob1911.txt 56KB yob1910.txt 53KB yob1909.txt 48KB yob1908.txt 46KB yob1907.txt 45KB yob1900.txt 42KB yob1905.txt 41KB yob1906.txt 41KB yob1904.txt 40KB yob1903.txt 38KB yob1902.txt 38KB yob1898.txt 37KB yob1901.txt 36KB yob1896.txt 35KB yob1895.txt 34KB yob1899.txt 34KB yob1897.txt 34KB yob1894.txt 33KB yob1892.txt 33KB yob1893.txt 32KB yob1890.txt 30KB yob1891.txt 30KB yob1888.txt 30KB yob1889.txt 29KB yob1886.txt 27KB yob1887.txt 27KB yob1884.txt 26KB yob1885.txt 26KB yob1882.txt 24KB yob1883.txt 23KB yob1880.txt 22KB yob1881.txt 22KB segismundo.txt 296B共 101 条
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