Webinar: Easy Data Exploration, Visualizations, and Dashboards Using Familiar APIs

Data scientists have a rich resource of Python libraries at their fingertips designed to manipulate, analyze, and visualize data. Sharing the results of these analyses, however, often requires utilizing unfamiliar technologies or passing the data to a separate team.

In this webinar, we’ll empower data scientists and Python developers with the ability to share the results of their work using familiar APIs. We’ll show you how to go from the initial exploratory analysis and visualization of a large dataset using pandas, Dask or cuDF to a polished looking dashboard in under 100 lines of code!

Watch this on-demand webinar to learn how to:
  • Use familiar tools to generate interactive plots
  • Gain deep insights into a dataset by performing complex linked brushing
  • Create a polished dashboard you can deploy in Anaconda Enterprise or your favorite cloud provider

Meet the Speaker

  • PHILIPP RUDIGER | Software Engineer, Anaconda

    A long-term veteran at Anaconda, Philipp Rudiger is a Software Engineer developing open-source and client-specific solutions for data management, visualization and analysis. He is the author of the open source dashboarding and visualization libraries Panel, hvPlot and GeoViews and one of the core developers of Bokeh and HoloViews. Before making the switch to software development, he completed a PhD and Masters in Computational Neuroscience at the University of Edinburgh working on biologically inspired, deep, and recurrent neural network models of the visual system.

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