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Traditionally, if you wanted to write fast code for numeric computation, you used Fortran or C. Within the past two decades, you have seen an enormous shift toward languages which favor expressiveness over absolute speed. Much of scientific computing is now performed using dynamic, loosely typed languages, such as R or Python. Taking into account JavaScript's expressiveness, why not do your computing in JavaScript?

In this workshop, Athan Reines will first provide an overview of numeric computation in JavaScript, libraries currently available, and what makes these libraries competitive with and even superior to alternatives on other platforms. Next, he will guide attendees through a series of brief exercises to demonstrate use cases ranging from analytics to machine learning to exploratory data analysis and visualization. He will then show how to leverage Node and JavaScript to build feature rich numeric compute applications both at the command-line and in the browser. Finally, he will outline future steps and identify opportunities for community development of next-generation tools.

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