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) ...

A programming language structure wherein the data and their associated processing ("methods") are defined as self-contained entities called "objects." Becoming popular in the early 1990s and the ...

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.

But the data binding step needs to deal with mismatches between schema data types and structures and programming language data types and structures, and these mismatches can create problems for ...

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 ...

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 ...

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

The Ada programming language was born in the mid-1970s, when the US Department of Defense (DoD) and the UK’s Ministry Of Defence sought to replace the hundreds of specialized programming lang… ...

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 ...