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) ...

Boolean logic is an essential part of mathematics, engineering, and programming. In most languages, there's a dedicated ...

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 Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used, at ...

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.

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.

Python is the fastest-growing programming language in the world. Here's why it's a good choice for those who want to learn to code.

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.