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 is not the first language to solve the expression problem, nor even the first language to solve it through multiple dispatch. Common Lisp has had these features for 40 years.

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 ...

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 ...

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 ...

The Julia programming language is a horrible fit for a no-frills microcontroller like the ATMega328p that lies within the classic Arduino, but that didn’t stop [Sukera] from trying, and succe… ...

SEE: Programming languages: Julia users most likely to defect to Python for data science. The new extension reflects Microsoft's understanding that Jupyter notebooks are used with Python, R, ...