Traditional time series analysis techniques have found success in a variety of data mining tasks. However, they often require years of experience to master and the recent development of straightforward, easytouse analysis tools has been lacking. STUMPY is a scientific Python library for modern time series analysis that efficiently computes something called a matrix profile and leverages popular open source software and enables you to do better science!

https://github.com/TDAmeritrade/stumpy
https://stumpy.readthedocs.io

Sean Law is a senior applied scientific researcher and lead data scientist currently working with a multitalented Exploration Lab team and serves as an advisor on an enterprise A.I. Council at TD Ameritrade. He has experience producing cutting edge methodologies, building highperformance predictive models, and developing rapid prototypes. Additionally, he is one of the coorganizers of PyData Ann Arbor and is also the creator and core maintainer of STUMPY, a powerful and scalable open source Python library that can be used for a variety of time series data mining tasks.

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