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.

The second most popular language among Julia users is Python, cited by 61% of respondents. Languages that between 20% to 30% of respondents report liking included C, R, Matlab, C++, and Bash.

Python is the most popular "other" programming language among developers using Julia for data-science projects. Written by Liam Tung, Contributing Writer Aug. 26, 2020, 6:07 a.m. PT ...

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 ...

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 ...

Future of work How Julia could beat Python for programming language dominance What fast, easy-to-use Julia can offer devs July 23, 2024 - 8:51 am ...

Julia is a new programming language being developed for building technical applications. In its early stages, Julia has been used in such applications as image analysis and linear algebra research.

Earlier this month, the creators of the programming language Julia launched their startup, Julia Computing LLC, to provide training, commercial support, and consulting for those who want to use ...

In the August 2023 release of the Tiobe Index published August 6, Julia ranked as the 20th most popular language, with a rating of 0.85%. “Why does it deserve this top 20 position?