Dash VTK for Open-Source 3d Simulation Graphics in Python, Julia, & R
With Sebastien Jourdain from Kitware and Xing Han from Plotly
Recorded on March 16th, 2021
With the release of Dash VTK, we are partnering with Kitware, a storied developer of open-source visualization software, to bring 3d simulation graphics to thousands of Dash engineers working in Python, R, and Julia. Dash VTK sits on top of VTK.js (Kitware’s Web version of VTK) and adopts the VTK style that is already familiar to Python developers through Mayavi or pyvista.
In this webinar, Sebastien Jourdain from Kitware and Xing Han from Plotly, will walk you through:
- Installing the Dash VTK Library
- Reading 3d object files
- Displaying 3d graphics in Dash with Dash VTK
- Updating Dash VTK graphics with callbacks
- The basics of computational fluid dynamics in Python
- Using Dash VTK in Dash apps with Python, Julia, or R backends
About Sebastien Jourdain
In February 2010, Sébastien joined the Kitware team to work on ParaViewWeb and the collaborative aspects of ParaView. Sébastien has since become a lead contributor to VTK and ParaView: adding Web support for ParaView and VTK, improving the Java support for VTK, and enabling interactive in-situ visualization on the Web. In October 2013, Sébastien relocated to Kitware’s Santa Fe, NM office to help foster collaboration with Kitware’s national lab customers in the area.
About Xing Han
Xing Han Lu is the Lead AI/ML Engineer at Plotly. He created Dash Cytoscape, an open-source network visualization component. Previously, he worked for Deloitte, where he specialized in summarization engines. He has also led IMIA Conference & AAAI Workshop papers for the McGill Clinical and Health Informatics lab. Some of his projects can be found on Kaggle, where he is a Kernels Grandmaster.