"The main reason why Python is preferred to R is because Python is a real generic programming language with a very large user community," Tiobe's CEO Paul Jensen told ZDNet. "Almost every ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and ...

It’s a programming environment and language dedicated to solving statistical problems. It is much more focused on the domain than the versatile Swiss-Army knife that Python is. R specializes ...

While R has been plateauing over the last ... That’s why most modern programming languages use static scoping. Python tried to transition to static scoping, but messed it up.

SEE: Top 5 programming languages for systems admins ... languages like SAS and Stata in favor of open source languages Python and R; and 2) Analytics are increasingly being used to search for ...

Swift, Go, Julia, and R are all potential contenders ... Here's how each could win out -- and how Python could prevail Nothing lasts forever — including programming languages.

languages, such as R for statistical analysis, and Python for more general programming, are the two languages most commonly used in analytics. If you analyze big data sets, you may benefit from ...