All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

Ballerina’s flexible type system brings the best of statically typed and dynamically typed languages in terms of safety, clarity, and speed of development. Ballerina treats data as a first-class ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

Session Types and Concurrency in Programming Languages Publication Trend The graph below shows the total number of publications each year in Session Types and Concurrency in Programming Languages.

You're taking a new programming class this fall, and you don't know anything about code. Python is taught widely in schools, and it's one of the most loved programming languages because it's simple.

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Programming languages: JavaScript top for web and cloud development while Python rules data science The future of programming languages: What to expect in this new Infrastructure as Code world ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools.

Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

Which programming language should I use? A guide for early-career researchers Computer scientists and bioinformaticians address four key questions to help rookie coders to make the right choice.