Jake VanderPlas

Jake VanderPlas

Jake VanderPlas is a data science fellow at the University of Washington's eScience Institute, where his work focuses on data-intensive physical science research in an interdisciplinary setting. In the Python world, Jake is the author of the Python Data Science Handbook, and is active in maintaining and/or contributing to several well-known Python scientific computing packages, including Scikit-learn, Scipy, Matplotlib, Astropy, Altair, and others. He occasionally blogs on python-related topics at http://jakevdp.github.io/


Exploratory Data Visualization with Vega, Vega-Lite, and Altair

Thursday 1:20 p.m.–4:40 p.m. in Room 21

Performance Python: Seven Strategies for Optimizing Your Numerical Code

Friday 11:30 a.m.–noon in Grand Ballroom C