Context Importing and analyzing social media data can really be fun and interesting, if you didn't have to untangle those JSON trees! So, as I was getting a lot of data from Twitter and noticed some patterns, I decided to create functions that get data into a pandas DataFrame directly. Content A variety of Twitter datasets mainly to demonstrate the functionality of getting the data and exploring them. - What's trending in Spain on a random day 500+ hashtags / topics - 500 Lists that @Kaggle is a member of - 1,000 Tweets containing the hashtag #Python - List of followers of @ThePSF (2,500) - Tweets that @Twitter likes (3,000) - IDs of users following @Kaggle (5,000) Acknowledgements This module is built on top of [twython](), so a very big thank you to the authors [@ryanmcgrath](https://twitter.com/ryanmcgrath) and [@mikehelmick](https://twitter.com/mikehelmick). Inspiration Python decorators!