When it comes to choosing a programming language, there really are only two choices if you’re working with data. For data science, machine learning, statistics, IoT technology and even automation, the ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...

Open-source programming language Python has become one of the few languages that won't disappear anytime soon. It's the top or one of the top two languages in most notable language popularity indexes, ...

Data analytics software provider Periscope Data Inc. is updating its Unified Data Platform with support for the Python and R programming languages, as well as the Structured Query Language that’s used ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

Swift, Go, Julia, and R are all potential contenders for Python's crown of convenience and versatility. Here's how each could win out -- and how Python could prevail Nothing lasts forever — including ...

The two languages take divergent paths in the Tiobe and PyPL popularity indexes, with Python getting a spike thanks to AI while C founders due to lack of major support Python has become entrenched ...

A better understanding of which programming languages are in demand can help aspiring software developers land their dream job. Recruiters are now preferring candidates with strong coding skills ...