Python and Pandas for Sentiment Analysis and Investing 3 - Looking at our Data

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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share


This series uses 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 is 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/

Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo

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

Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6




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