Jupyter widgets are powerful tools for building user interfaces with graphical controls, such as sliders and text boxes, inside a Jupyter notebook. Interactive widgets can also be rendered in Sphinx documentation, on nbviewer, and on static web pages. But Jupyter widgets are more than a collection of controls. They are also a framework that makes it easy to build custom GUI controls in the notebook. Examples of custom widget packages include libraries for interactive 2d charting (bqplot), 3D graphics (pythreejs, ipyvolume), mapping (ipyleaflet), and more.
Sylvain Corlay is a quant researcher specializing in stochastic analysis and optimal control and the founder of QuantStack. Previously, Sylvain was a quant researcher at Bloomberg LP and an adjunct faculty member at Columbia University and NYU. As an open source developer, Sylvain mostly contributes to Project Jupyter in the area of interactive widgets and lower-level components such as traitlets. He is also a member of the steering committee of the project. Sylvain is also a contributor to a number of other open source projects for scientific computing and data visualization, such as bqplot, pythreejs, and ipyleaflet, and coauthored the xtensor C++ tensor algebra library. He holds a PhD in applied mathematics from University Paris VI.
Jason Grout is a Jupyter developer at Bloomberg, working primarily on JupyterLab and the interactive widget system. Previously, Jason was an assistant professor of mathematics at Drake University in Des Moines, Iowa. Jason co-organizes the PyDataNYC Meetup. He has also been a major contributor to the open source Sage mathematical software system for many years. He holds a PhD in mathematics from Brigham Young University.
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