Arguing about which programming language is the best one is a favorite pastime among software developers. The tricky part, of course, is defining a set of criteria for "best." With software ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to ...

For decades, fierce debates have raged over the benefits of different programming languages over others: Java vs. C++; Python vs. Ruby; Flask vs. Django. While often waged with fervor by computer ...

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 ...

The R Consortium, an open source foundation to support the R user community and a Linux Foundation project, today is announcing IBM is becoming a Platinum member of the project, which demonstrates a ...

Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

Data scientists have a number of language options, including Python and Java, when planning a production deployment for machine learning solutions in support of a data science projects. More and more ...

Pick the right tool for the job, they say. So what are the right tools for the coveted, mysterious and highly paid position of data scientist? To find out, we checked in with our resident data ...