Twitter API with Python: Part 3 -- Analyzing Tweet Data
In this video, we will continue with our use of the Tweepy Python module and the code that we wrote.
The goal of this video will be to do some very cursory analysis of the tweets that we are able to extract. In order to do so, we will be making use of the numpy and pandas modules in Python. Specifically, we will be storing the tweet data in a pandas data frame for further analysis and organization.
Relevant Links:
Part 1: • Twitter API with Python: Part 1 -- St...
Part 2: • Twitter API with Python: Part 2 -- Cu...
Part 3: • Twitter API with Python: Part 3 -- An...
Part 4: • Twitter API with Python: Part 4 -- Vi...
Part 5: • Twitter API with Python: Part 5 -- Se...
Tweepy Website:
http://www.tweepy.org/
Cursor Docs:
http://docs.tweepy.org/en/v3.5.0/curs...
API Reference:
http://docs.tweepy.org/en/v3.5.0/api....
GitHub Code for this Video:
https://github.com/vprusso/youtube_tu...
My Website:
vprusso.github.io
Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here:
http://bit.ly/lp_vim
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