But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to settle ...

The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...

Here’s how the general-purpose favorite of scientists stacks up against the stat head’s data-honed tool of choice The boss’s boss looks out across the server farm and sees data—petabytes and petabytes ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors ...

Demand for data science experts continues to grow, with the most in-demand staff moving jobs for big pay increases as companies seek to expand their use of data analytics. According to the data from ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

As programming languages go, there’s no denying that Python is hot. Originally created as a general-purpose scripting language, Python somehow became the most popular language for data science. But is ...

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 ...