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Go for statistical programming

by on Sep 03, 2013

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While R is the language of choice for academic statisticians, data scientists sometimes use other languages and frameworks for advantages such as distributed computing, speed, and portability. Go, a ...

While R is the language of choice for academic statisticians, data scientists sometimes use other languages and frameworks for advantages such as distributed computing, speed, and portability. Go, a new language developed by Google, provides a convenient alternative for statistical work, with built-in concurrency features and a focus on both speed and stability. In this talk, Aditya will provide an overview of the current state of statistical programming in Go, and some basic tips for getting started.

Aditya graduated from Columbia University with a degree in CS and statistics, and was a hackNY Fellow (class of 2011). Previously, he worked on the data team at OkCupid providing research for OkTrends posts, and on the server team at foursquare, working on the foursquare Explore recommendation engine. Currently, he serves as the Hacker-in-Residence at Quotidian Ventures.

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