Thunder is a library for analyzing spatial and temporal data in Python. It is designed to run locally for small data or against a Spark cluster for large data, using an identical API. These notebooks are tutorials for using Thunder. All the tutorials use small, toy data sets.

For more information on Thunder, visit the project page or come chat with us.

tutorials

- basics

- images

- series

- registration