Python is the most popular "other" programming language among developers using Julia for data-science projects.

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) ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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 Stack Overflow Developer Survey asked developers about the programming languages they like working with. Here's what their favorite languages are.

Research conclusions could inform the design of new programming languages, coding environments and coding styles, and improve understanding of the role of programming and software in science.

That’s why it’s worth a look at the most-used programming languages, databases, and frameworks that the companies use to do build online services.

SlashData’s 21st State of the Developer Nation report revealed the most popular programming languages in the world.

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 ...