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.

Suresh has benchmarked statistical programming language R's fread, Pandas' read_csv for Python, and Julia's CSV.jl CSV parsers and reckons that Julia comes out on top.

Julia is a free open source, high-level, high-performance, dynamic programming language for numerical computing.It has the development convenience of a dynamic language with the performance of a ...

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 ...

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 ...