Julia – A Fresh Approach to Numerical Computing


Julia first appeared in 2012 and has since become popular in academic environments. While its inclusion into the Jupyter project in 2014 (it's the Ju- in Jupyter) marked a significant increase in awareness and adoption, Julia still isn't particularly common in commercial environments.

This post, written by one of the co-creators of the language, makes the case that core elements of Julia's design make it a superior choice for performance-intensive numerical computing applications. Read this post, and put Julia on your list of things to play around with. It's maturing quickly.


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