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) ...

Mojo is a newly presented programming language that combines the simplicity of Python with the speed and memory security of Rust. It is at an early stage of development and offers users an online ...

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 ...

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 ...

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.

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.