RCloud - an open-source social coding environment for data science

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What is RCloud (https://rcloud.social/)?

RCloud (https://rcloud.social (https://rcloud.social/)) is an open-source social coding environment, designed to jumpstart your work. With RCloud you can rate and share code with other developers. You can form social circles around specific topic areas, and search for similar, relevant work, so you don’t have to recreate the wheel. In addition, RCloud is highly scalable. RCloud gives you superfast interactions with data in HDFS or other systems. This is possible because of a built-in chunk-wise compute + combine paradigm via customized functions for fast I/O. RCloud is open-source software installed on a server and developed primarily by Simon Urbanek, Gordon Woodhull (AT&T Research) and Carlos Scheidegger (University of Arizona) to facilitate collaboration, reproducibility, deployment time and parallelizing code (http://www.kdnuggets.com/2016/11/rcloud-devops-data-science.html).

Phaneendra Bhattiprolu will present a hands-on demo of RCloud. He will start with the basics from logging-in to familiarizing the audience with the RCloud environment.

Jo Frabetti will go through the different methods of sharing results and then walk through a credit card fraud prediction notebook which illustrates how to include Markdown and Latex in notebooks and an energy prediction analysis that includes scraping a NOAA webpage for weather forecasts.