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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY
Sylvain Corlay

Sylvain Corlay
Founder, QuantStack

Website | @SylvainCorlay

Sylvain Corlay is the founder of QuantStack and a quant researcher specializing in stochastic analysis and optimal control. 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.

Sessions

11:05am–11:45am Thursday, August 23, 2018
Going native: C++ as a first-class citizen of the Jupyter ecosystem
Data visualization, Integrations with other Software, Kernels
 Location: Sutton Center/Sutton South Level: Intermediate
Sylvain Corlay (QuantStack), Johan Mabille (QuantStack), Wolf Vollprecht (QuantStack), Martin Renou
Average rating: ****.
(4.67, 3 ratings)
Sylvain Corlay, Johan Mabille, Wolf Vollprecht, and Martin Renou share the latest features of the C++ Jupyter kernel, including live help, auto-completion, rich MIME type rendering, and interactive widgets. Join in to explore one of the most feature-full implementations of the Jupyter kernel protocol that also brings Jupyter closer to the metal. Read more.
11:55am–12:35pm Friday, August 24, 2018
Jupyter widgets
Location: Sutton Center/Sutton South
Maarten Breddels (Maarten Breddels), Sylvain Corlay (QuantStack)
Average rating: *****
(5.00, 2 ratings)
Project Jupyter aims to provide a consistent set of tools for data science workflows, from the exploratory phase of the analysis to the sharing of the results. Maarten Breddels and Sylvain Corlay offer an overview of Jupyter's interactive widgets framework, which enables rich user interaction, including 2D and 3D interactive plotting, geographic data visualization, and much more. Read more.