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Covariance As Signed Area Of Rectangles

Covariance As Signed...

A colleague at work pointed me to a stats.stackexchange answer with an intuitive explanation of covariance: For each pair of points, draw the rectangle with these points at opposite corners. Treat the rectangle’s area as signed, with the same sign as the slope of the line between the two points. If you add up all […]

Stefan Karpinski – “Solving the Two Language Problem”

Stefan Karpinski ...

Bio: Stefan Karpinski is one of the co-creators of the Julia programming language and a co-founder of Julia Computing, Inc., which provides support, consulting and training for commercial usage of Julia. He has previously worked as a software engineer and data scientist at Akamai, Citrix, and Etsy. He is currently a Research Engineer at NYU […]

Introducing the Eclipse Julia plugin – JuliaDT

Introducing the Ecli...

This post was originally posted on the Julia Blog by Taimur el-Halawani, and kindly contributed to Open Data Science. JuliaDT is an alpha release of an Eclipse-based IDE for Julia. Current trends in Big Data and Data Science make Julia a natural choice when tackling the latest business challenges. The plugin aims to make Julia’s […]

Julia Receives Funding to Improve Stats and Functionality

Julia Receives Fundi...

> By Simon Byrne | This post originally appeared in its entirety on and was kindly contributed to ODSC< Statistics Roadmap Julia Computing has recently received funding from the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative. One of the main components of this project is to improve the statistics and data science functionality […]

The Julia Language for Scientific Computing

The Julia Language f...

There’s Python, R, Scala … and now there’s also Julia.  Julia is intended to be as fast as C, as easy to write as Python, and as statistically smart as R.  Sebastian Nowozin, a computer vision researcher at Microsoft Research and seasoned programmer, has been working with Julia for over a year and a half. He […]