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 ...

Project Amber has brought a number of new features to Java in recent years. While each of these features is self-contained, they are also designed to work together, enabling data-oriented programming.

The most important factor in choosing a programming language for a big data project is the goal at hand. If the organization is manipulating data, building analytics, and testing out machine learning ...

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.

Programming languages: Go just received its biggest update ever Go 1.18 marks the culmination of over a decade of design and delivers the features most demanded by developers, says Google.

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.

This is a list of must-learn programming languages for DBAs. Use this guide to help enhance your skills and boost your IT career.