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Plotly Virtual Hangout

Bringing Passionate Python Developers Together

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September (Sign up to be notified)

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 August session featured Martin Rapavý. Working at Raiffeisenbank, Martin serves as the Product Owner for their internal AI Portal. While he's in an AI role now, his love for making colleagues' lives easier began in his previous position as a Data Analyst. In this role, he discovered Python, Plotly, and his favorite tool, Dash. The simplicity of creating applications with Python and Dash instilled in him a passion not only for data apps but also for introducing non-technical people to the technical world. During the Hangout, Martin covered:

  • How Plotly and Dash enabled the adoption of Python at Raiffeisenbank
  • How the community represents one of the strongest value propositions for Plotly and Dash
  • How a passion project led to a collaboration with a major Czech television network

Meet the Speakers

Adam Schroeder

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.

Martin Rapavy

Martin Rapavý

Martin is an AI Specialist at Raiffeisenbank, one of the largest banks in the Czech Republic, serving as the Product Owner for their internal AI Portal. While he's in an AI role now, his love for making colleagues' lives easier began in his previous position as a Data Analyst. In this role he discovered Python, Plotly, and his favorite tool, Dash. The simplicity of creating applications with Python and Dash instilled in him a passion not only for data apps but also for working with junior colleagues and introducing non-technical people to the technical world.

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