About

My name is Jake VanderPlas. I am an astronomer by training, and currently am the director open software at the University of Washington's eScience Institute, where I spend time on research, teaching, and developing software tools for science.

If you like my blog, you might also like my books:

The Python Data Science Handbook by Jake VanderPlas (O'Reilly Media, 2016). This is a comprehensive introduction to the most important data science tools in the Python world. Several examples used in the book are drawn from posts on this blog. The full text can be read online, and the content is also available as Jupyter notebooks on GitHub.

A Whirlwind Tour of Python by Jake VanderPlas (O'Reilly Media, 2016). This free e-book is a fast-paced intro to Python aimed at researchers and engineers. It's content is drawn from Python intro courses and tutorials that I have taught over the years. The full text can be read online, and the content is also available as Jupyter notebooks on GitHub.

Statistics, Machine Learning, and Data Mining in Astronomy by Zeljko Ivezic, Andy Connolly, Jake VanderPlas, and Alex Gray (Princeton Press, 2014). This is a graduate-level text on statistical methods in astronomy, with emphasis on Python code. Code from the book is available at http://astroML.org/.

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