Julia’s creators wanted to make a language that is as fast as C — but what they created is even faster. Even though Python has become easier to speed up in recent years, its performance is ...

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.

MIT, where the popular Julia language was born, has created a probabilistic-programming system called 'Gen', which it says will make it easier for newbies to get started with computer vision ...

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.

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.

Several banks, vendors and a regulator discuss how they are using the Julia programming language to improve their big data analytics capabilities. Seven years ago, four individuals came together to ...

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.

Emerging open-source programming language Julia is designed to be fast and easy to use. Since it is particularly suited for numerical applications, scientists are using it to explore the ...

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 ...

Julia, a high-performance dynamic language for numerical computing, and potential rival to Python for data science, has cracked the top 20 in the Tiobe index of programming language popularity for ...