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 ...

Oscar Spencer recently presented Grain, a new strongly-typed, high-level language that compiles to WebAssembly. Grain includes functional programming features (e.g., type inference, pattern ...

Gradual typing has emerged as a compelling approach to reconcile the strengths of static and dynamic type systems. By permitting programmers to incrementally annotate code, it enables early ...

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 ...

We interviewed data scientists and scoured the Web to round up the most popular options for building a data science toolkit in 2018, starting with a look at programming languages.

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

Go developers still cite generics as the top missing feature of the popular Go programming language.

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.

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.