In the first installment of the Computation Institute's Discovery Engines: Under The Hood workshops, Knowledge Lab researcher Misha Teplitskiy provides an introduction to using the programming language Python and the data analysis library pandas. Learn how to structure your dataset and run exploratory analyses on it using iPython notebook.
To download the iPython notebooks for this workshop, go to github.com/MishaTeplitskiy/Statistical_Learning_With_Python
About Discovery Engines: Under The Hood
Recent years have brought an explosion of software and tools for working with data, making once arduous tasks such as processing, analysis, machine learning, and visualization easy and accessible. But as the data science toolbox grows larger and larger, it becomes harder to find the proper tool for the job at hand, not to mention how to get the most out of its use. "Discovery Engines: Under the Hood" is a new monthly workshop series organized by the Computation Institute, offering practical, hands-on instruction with new and popular computational tools. Learn from experienced users at CI research centers about programming libraries, web platforms, visualization software, and analytic techniques that can make a difference in your own projects.
The Computation Institute is a joint initiative of the University of Chicago and Argonne National Laboratory, dedicated to applying the most advanced computational approaches to research across all disciplines. Visit ci.uchicago.edu for more information.
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