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, ...

SAN FRANCISCO, Feb. 8, 2018 /PRNewswire/ -- Periscope Data today announced new features enabling data professionals to work with Python, R and SQL together all on a single platform. Data teams will ...

Reticulate is a handy way to combine Python and R code. From the reticulate help page suggests that reticulate allows for: "Calling Python from R in a variety of ways including R Markdown, sourcing ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

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 ...

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 ...

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 ...