R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio. A central feature of Positron is the Variable & Data Frame Explorer. It ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...

It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages. There are several ways to ...

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 ...

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...

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 ...