NY Fed – Forecasting with Julia

A little more than a year ago, in this post, we announced DSGE.jl—a package for working with dynamic stochastic general equilibrium (DSGE) models using Julia, the open-source computing language. At that time, DSGE.jl contained only the code required to sp… Read more

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The Motivation for Julia

I guess I can give some historical motivation here. When we started working on Julia in 2009, the Python ecosystem was nowhere near where it is today: PyPy was pretty new (1.0 release 2007, the first version to be able to run any substantial Python app... (more…)

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Exploring Lazy Evaluation with Julia

“Any sufficiently advanced technology is indistinguishable from magic,” go the famous words of Arthur C. Clarke. Often when we see magic, a small dose of knowledge is enough to wash away our wide-eyed awe and bring us back to sweet, comfortable cynicism. ... (more…)

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Scanning the sky with Julia on 8000 cores

Celeste, a statistical analysis model designed to enhance one of modern astronomy’s most time-tested tools—sky surveys—has gotten a major upgrade that dramatically scales up the process of cataloging astronomical objects.

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