

Jake on Twitter: @jakevdp

Jake on the web: staff.washington.edu/jakevdp

Python Data Science Handbook: shop.oreilly.com/product/0636920034919.do

Python Data Science Handbook on GitHub: github.com/jakevdp/PythonDataScienceHandbook

Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data: press.princeton.edu/titles/10159.html

PyData Talk: youtube.com/watch?v=qOOk6l-CHNw

eScience Institue: @UWeScience

Large Synoptic Survey Telescope: lsst.org

AstroML: Machine Learning and Data Mining for Astronomy: astroml.org

Astropy project: astropy.org

altair package: pypi.org/project/altair



The advances in Astronomy over the past century are both evidence of and confirmation of the highest heights of human ingenuity. We have learned by studying the frequency of light that the universe is expanding. By observing the orbit of Mercury that Einstein's theory of general relativity is correct.It probably won't surprise you to learn that Python and data science play a central role in modern day Astronomy. This week you'll meet Jake VanderPlas, an astrophysicist and data scientist from University of Washington. Join Jake and me while we discuss the state of Python in Astronomy.Links from the show: