https://github.com/xdevplatform/do_more_with_twitter_data

Tutorials for getting the most out of Twitter data.
https://github.com/xdevplatform/do_more_with_twitter_data

tutorial twitter twitter-data

Last synced: about 2 months ago
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Tutorials for getting the most out of Twitter data.

• Host: GitHub
• URL: https://github.com/xdevplatform/do_more_with_twitter_data
• Owner: xdevplatform
• License: mit
• Created: 2018-01-31T22:41:03.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T00:43:46.000Z (about 2 years ago)
• Last Synced: 2024-04-22T01:00:32.087Z (8 months ago)
• Topics: tutorial, twitter, twitter-data
• Language: Makefile
• Homepage: https://twitterdev.github.io/do_more_with_twitter_data/
• Size: 10.3 MB
• Stars: 103
• Watchers: 17
• Forks: 36
• Open Issues: 38
• Metadata Files:
  • Readme: README.md

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README

        
# Do more with Twitter data

- [Aaron Gonzales](https://twitter.com/binary_aaron), Data Scientist

- [Fiona Pigott](https://twitter.com/notFromShrek)),  Data Scientist

- [Josh Montague](https://twitter.com/jrmontag), Data Scientist

- [Jeff Kolb](https://twitter.com/kolb), Data Scientist

We’re a group of data scientists on the Twitter Data team who are helping

people do more with Twitter data in less time. Each of the posts in this

example series provides a tutorial and reproducible case study of getting value

from Twitter data.

Each post's source code and installation is in a subfolder in `./examples/`. We make heavy use

of the PyData stack on our team and each post is written and developed in

Python, though the steps to reproduce the analyses can be done in any language

with good machine-learning and data manipulation libraries. Each post is

primarily a Jupyter notebook and provides a pip-installable requirements file

and a conda environment for easy setup.

Please reach out to Aaron either [via Twitter](https://twitter.com/binary_aaron)

with any comments, questions, or thoughts.