Do More With Twitter Data Save
Tutorials for getting the most out of Twitter data.
Do more with Twitter data
- Aaron Gonzales, Data Scientist
- Fiona Pigott), Data Scientist
- Josh Montague, Data Scientist
- Jeff 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 with any comments, questions, or thoughts.
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