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

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:

Python Module downloads:
(Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, )

Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6

[daniestrijdom]

Really appreciate what you've put up here, very helpful and clear.

[xsuperman]

I wonder how the sentiment values are mined and created, if you have published a tutorial series on that, could you refer to the link? Thanks.

[mustafaahmed]

i have dataset(csv ) from twitter can help me for tokenization and remove stopword ... pls help me

[californiaesnuestra]

I needed to upgrade to pandas 0.8+ to get the to_datetime. working. You can use print(pd.version.version) 

[alemazzuca]

Hi. do I need a fast computer with high memory to run this chapter? because I did it and it killed my computer. Had to restart. I have a CPU Core2DUO 2.13GHZ with 2GB of memory

[mehrdadbahador]

turned my Adblock off for this channel. Amazing content!