Python and Machine Learning in Astronomy (Episode #81) (Jack VanderPlas)
From the webpage:
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:
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
If you social media feeds have been getting you down, rejoice! This interview with Jake VanderPlas covers Python, machine learning and astronomy.
Nary a mention of current social dysfunction around the globe!
Replace an hour of TV this weekend with this podcast. (Or more hours with others.)
Not only will you have more knowledge, you will be in much better emotional shape to face the coming week!