»Jupyter: Interactive visualizations in Python and C++«
2019-06-04, 16:00–17:30, Haus A31: Große Kuppel
Project Jupyter has gained steady adoption for interactive computation and visualization in the context of Data Science and Machine Learning. During this workshop we will present
- The Project Jupyter Notebook and the underlying protocol implementation
- ipywidgets, the library that enables interactive widgets, from simple buttons & sliders to maps and 3D plots
- xeus-cling, the interactive C++ kernel for the Jupyter ecosystem
In the interactive part of the workshop we will walk through creating custom widgets for interactive data visualizations, and gain a deeper understanding of the traitlets protocol, which is used to synchronize data from C++ or Python to the JavaScript frontend.