Learn Dash from Plotly's CTO

Featuring Pattern-Matching Callbacks

Recorded on May 7th, 2020
As the leading UI layer for ML and data science models, Dash helps organizations close the gap between their Data Science teams and the rest of the organization. Dash's latest feature, Pattern-Matching Callbacks, enables users to write callbacks that respond to or update multiple components on-the-fly, instead of in a singular, predetermined fashion.
Watch this 1-hour recorded webinar to learn how to implement Dash's Pattern-Matching Callbacks and how to fully utilize its capabilities:
  • Creating new components dynamically from user input
  • Connecting dynamic components to each other for modular user interfaces
  • Writing callbacks that adapt to new elements on the page
  • About the speaker

    Alex Johnson is Plotly's Chief Technology Officer and the architect of Plotly.js, Plotly’s D3 based and Javascript data visualization library. Alex gets involved in the most challenging projects at Plotly, internally or externally through Plotly's Consulting & Training. Alex has a PhD from Harvard University in Quantum Physics and has consulted for Microsoft Research and the Center for Quantum Devices at the Niels Bohr Institute.

    About the speaker

    Chris is the Chief Product Officer and co-founder of Plotly. As the creator of Dash, Chris leads development efforts to make the framework the easiest, fastest language-agnostic way to build, test, and deploy interac- tive analytic applications. As data science teams become a standard establishment within the enterprise, Chris wants to ensure that even the most advanced analytics insights are accessible by everyone — whether or not they know how to code.