Interactive Computing in Jupyter and Python with OmniSci

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Presented by

Kim Pevey, Software Engineer, Quansight & Tony Fast, Developer Advocate, Quansigh

About this talk

This work discusses the open source technologies used to bring Omnisci to the greater scientific python ecosystem. These efforts allow Omnisci data to be analyzed in Jupyterlab, query data from omnisci databases, interoperate with pandas dataframes, and visualize information. We’ll walk through several computational notebooks that cover the capabilities of Omnisci interacting with different data analysis and visualization tools in Python. Throughout these exercises we’ll highlight the open source packages and technologies that amplify OmniSci’s abilities with tools like ibis, pandas, altair, and holoviews.

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