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

Talk : JupyterLab: The Next Generation Jupyter Web Interface

Tracks

  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • 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

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.