Julia Computing Raises $4.6M in Seed Funding

Berkeley, California – Julia Computing is pleased to announce seed funding of $4.6M from investors General Catalyst and Founder Collective. Read more


Fast vectorization in Julia

After a lengthy design process and preliminary foundations in Julia 0.5, Julia 0.6 includes new facilities for writing code in the “vectorized” style (familiar from Matlab, Numpy, R, etcetera) while avoiding the overhead that this style of programming...

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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... (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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Julia is the hottest new language on Wall Street

Seven years ago, four individuals came together to create a fast and expressive programming language to compete with the likes of R, Matlab, Python and about three dozen other dynamic tools. Their work gave birth to the Julia programming language. Anthony...

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