RMACC 2021 HPC Symposium
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Thursday, May 20 • 1:35pm - 3:05pm
Python interactive big data visualization

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Using interactive data visualization for data exploration, collaboration, publication, general education, and more has reached new levels in ease of creation and use with the recent advances with Plotly and Dash. The real challenge is making things work more efficiently with big data. In this hands-on Python tutorial, we will explore the development of an interactive web-based dashboard using large data and Python tools to make working with large data faster and easier both on the development as well as the user experience sides.

Prerequisites: We will be using Jupyter Lab >=3.0.6 with at minimum Python v3.8. In addition, several Python packages will be used in this tutorial and instructions for installing them as well as the Jupyter Lab configuration will be sent to registered participants before the RMACC conference. In addition, help services via CRDDS Consulting Hours will be made available for people needing help setting up before the tutorial.


Tim Dunn

University of Colorado Boulder

Thursday May 20, 2021 1:35pm - 3:05pm MDT
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