Python and R are two popular programming languages that can be used to implement machine learning models, thanks to their rich libraries, tools, and frameworks.

As much as I love R, it’s clear that Python is also a great language—both for data science and general-purpose computing. And there can be good reasons an R user would want to do some things ...

Python and R are both powerful and versatile languages for data science, but they have different strengths and weaknesses. Python is more general-purpose and has a large and diverse ecosystem of ...

More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, not competitive. Image: iStock/monsitj.

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.

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...