Plotly Virtual Hangout

Bringing Passionate Python Developers Together

April 30 @ 12PM EDT

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We’re proud and lucky to have a thriving community of enthusiastic Plotly users. Plotly Community Manager Adam Schroeder started a new initiative called “Plotly Hangouts”. The casual session will occur every month and feature an interactive interview with a Plotly Community member with live audience Q&A. (Think of it as a virtual fireside chat!)

The April session will feature Christian Giessel. Christian started to leverage Plotly and Dash while working in the Telecommunication industry. At his current role as Software Engineer in Risk Management at Tesla, Dash allows him to quickly build full stack applications that seamlessly integrate all backend systems, mathematical models and general analytical needs. During the Hangout, Christian will show us how to:

  • Build interactive analytics dashboards with Plotly and Dash
  • Structure and developing scalable Dash applications
  • Integrate Dash applications into enterprise systems

Don’t miss this chance to connect with the community and learn from Christian’s expertise!

Meet the Speakers

Adam Schroeder

Adam Schroeder is passionate about helping people learn data visualization. He has helped the community grow by building 1:1 relationships, resulting in 1.5 million downloads of Dash per month. Prior to joining the team, Adam taught Plotly Dash for over three years on YouTube as @CharmingData, whose videos have over 60,000 views per month. More recently, he was inspired to co-author “The Book of Dash” to provide another learning method for people who want to learn Dash.

Christian Giessel

Christian studied Business Administration and Data Science and specialized in natural language processing. He was able to deepen his knowledge in Data Science and Engineering during his Internship position in the Telecommunication industry. That also marked the time where Plotly and Dash became his go-to tool for visualizations and Dashboards. During his current role as Software Engineer in Risk Management at Tesla, Dash allowed him to quickly build full stack applications that seamlessly integrate all backend systems, mathematical models and general analytical needs.