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 Pythonic Perambulations.
Data Science, Astronomy and the Open Source (with Jake VanderPlas)
February 5th, 2018
Data science, astronomy, the open source development world and the importance of interdisciplinary conversations to data science.