Monthly Archives: December 2016

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  • Tim Durham and Rob Fatland stand in front of a genome poster

Fellow collaborates on genome sequencing using cloud

eScience Data Science Fellow Rob Fatland is featured in a story on the UW Information Technology website. Fatland, UW director of cloud and data solutions, helped graduate student Timothy Durham to reduce the time spent processing his genome sequencing data, and also assisted in freeing up Durham’s department’s server resources as well.

More from the article: “Fatland said […]

December 15th, 2016|Categories: News|Tags: , , , |
  • The cover of the book "Python Data Science Handbook" featuring a lizard

Jake VanderPlas publishes Python handbook

A new book by Jake VanderPlas, eScience Insitute’s director of research in physical sciences, was published in Nov. 2016 by O’Reilly Media. The Python Data Science Handbook is a detailed guide to the most important Python tools for data science, covering IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn, and other tools.

Along with its free companion project, A Whirlwind Tour of Python, […]

December 8th, 2016|Categories: News|Tags: , , , |
  • Participants engage in a workshop at Geohackweek

First Geohackweek held at eScience Institute

The University of Washington’s eScience Institute hosted its first Geohackweek Nov. 14 – 18, 2016. Inspired by AstroHackWeek and Neurohackweek, the conference combined tutorials with group work (“hacks”) on computational projects in geospatial sciences.

With the help of 15 instructors, the event offered training in open-source vector and raster processing, multidimensional array analysis, data visualization, remote dataset access and cloud […]

December 8th, 2016|Categories: News|Tags: , , |
  • A screenshot of the MusicNet tool in action via YouTube

eScience fellows release new music dataset

Sham Kakade, senior data science fellow, and Zaid Harchaoui, data science fellow, are part of a UW team that has developed MusicNet, a “classical music dataset … which enables machine learning algorithms to learn the features of classical music from scratch.”

According to a UW press release, “MusicNet is the first publicly available large-scale classical music dataset with […]

December 2nd, 2016|Categories: News|Tags: , , , , |