@misc{ sentdex_python_2014,
  title = {Python and Pandas for Sentiment Analysis and Investing 1 - Download and Installing},
  url = {http://www.youtube.com/watch?v=0ySdEYUONz0&feature=youtube_gdata_player},
  abstract = {Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0\&list={PLQVvvaa}0QuDdktuSQRsofoGxC2PTSdsi7\&feature=share

Welcome to the introduction video for my Python and Pandas for sentiment analysis and investing series. This series will be using python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S\&P 500 stocks. 

Pandas will be used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. 

Sentiment Analysis data:
http://sentdex.com/downloads/stocks_sentdex.csv.gz

Python Module downloads:
(Get all of the listed dependencies, or at least the major ones like {NumPy}, Dateutils, Matplotlib, )
http://www.lfd.uci.edu/{~}gohlke/pythonlibs/#pandas
https://www.python.org/downloads/
http://matplotlib.org/downloads.html
http://www.numpy.org/


http://seaofbtc.com
http://sentdex.com
http://hkinsley.com
https://twitter.com/sentdex

Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6},
  urldate = {2014-07-03TZ},
  collaborator = {{sentdex}},
  month = {May},
  year = {2014}
}

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