Python and Pandas for Sentiment Analysis and Investing 2 - Pandas Basics

Channel:
United States sentdex
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Published on ● Video Link: https://www.youtube.com/watch?v=hxLdlx_aNrs


Duration: 18:36
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share

This video tutorial is dedicated to teaching the basics of using Pandas with Python. In this example we grab stock prices from Yahoo Finance, learn how to access specific columns, how to modify columns, add columns, delete columns, and perform basic math on them.

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

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

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/


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