Add to that its ease of use—Julia’s syntax is straightforward and intuitive, similar to that of Python, meaning it can be used extensively for exploratory programming and data analysis.

Julia combines the functionality of quantitative environments such as R and Python with the speed of production programming languages like Java and C++ to solve bigdata and analytics-based problems.

Julia Computing also asked users what languages they'd use if it weren't for Julia and the top alternative, not surprisingly, is Python, which would be used by 73 percent of respondents.

As Python’s lifetime grinds to a halt, a hot new competitor is emerging. Julia is fast, versatile, easy to learn, and has a budding community.

Programming language Julia is winning over developers Written by Liam Tung, Contributing Writer Aug. 16, 2018 at 5:11 a.m. PT Video: What programming languages do you need to know to earn more?

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Earlier this month, the creators of the programming language Julia ...

Dubbed Julia, it provides an early glimpse into what programming languages might look like in the not-too-distant future. Today's languages were each designed with different goals in mind.

Karpinski: Yes. The idea is that it should be extremely high productivity. To that end, it’s a dynamic language, so it’s relatively easy to program, and it’s got a very simple programming model.

Julia is a relatively new programming language — it was formalized 13 years ago — making its rapid ascent particularly notable. TIOBE Software ranks 100 programming languages by their ...