Speaker: Jason Grout

Scientific Software Developer @Bloomberg & JupyterLab / Sage Core Contributor

I am a Jupyter developer working at Bloomberg in New York. I work primarily on JupyterLab and the interactive widget system. I have also contributed to the open source Sage mathematical software system for many years. I co-organize the PyDataNYC Meetup. Previously, I was an assistant professor of mathematics at Drake University in Des Moines, Iowa.

Find Jason Grout at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud