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GeezerVison is showing github.com — GitHub - shngli/Data-Mining-Python: Sheng's python codes for data manipulation and data mining

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2012 Presidential Campaign Finance
2012 Presidential Campaign Finance
 
 
Basic LinkedIn network analysis
Basic LinkedIn network analysis
 
 
Basic Twitter analysis
Basic Twitter analysis
 
 
Customer database query
Customer database query
 
 
Enron Emails text mining
Enron Emails text mining
 
 
Google Scholar network
Google Scholar network
 
 
Health database 2012
Health database 2012
 
 
IMDB movie data visualization
IMDB movie data visualization
 
 
MapReduce Yelp analysis
MapReduce Yelp analysis
 
 
Mining massive datasets
Mining massive datasets
 
 
RSS feed
RSS feed
 
 
Senate network analysis 2009-2014
Senate network analysis 2009-2014
 
 
UM salary Regex
UM salary Regex
 
 
UMSI course recommender
UMSI course recommender
 
 
US obesity statistics
US obesity statistics
 
 
Basic Algorithms.ipynb
Basic Algorithms.ipynb
 
 
LICENSE.txt
LICENSE.txt
 
 
README.md
README.md
 
 

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Python

Basic Python setup for data analysis

The IPython notebook runs in the browser, and works best in Google Chrome. The Anaconda Python distribution is an easily-installable bundle of Python and many commonly used libraries. Download the appropriate version of Anaconda here.

Extra libraries that are useful for python:

  1. BeautifulSoup
  2. Pattern
  3. Seaborn
  4. MrJob

The recommended way to install these packages is to run pip install BeautifulSoup mrjob pattern seaborn on the command line. If this doesn't work, you can download the source code, and run python setup.py install from the source code directory. On Unix machines, either of these commands may require sudo (i.e. sudo pip install... or sudo python)

References

  1. Learning Python (5th Edition) by Mark Lutz
  2. Python for Data Analysis by Wes McKinney
  3. Introduction to Python for Econometrics, Statistics and Data Analysis by Kevin Sheppard

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Sheng's python codes for data manipulation and data mining

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