Compare the Python programming language and R to see how they differ and which is better for data science.

Python. There is no doubt that Python is the world’s most widely used data science programming language. An easy-to-use and open-source language since 1991, it has been around for over 20 years. The ...

R and Python are both open-source, versatile, and powerful languages that offer a wide range of libraries and packages for data manipulation, analysis, and visualization.

Win for R. Unlike Python, base R itself has sophisticated graphics utilities built in, and there are two outstanding graphics packages available, ggplot2 and lattice. The former is so widely used that ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

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 ...

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 ...

“Python is a high-level programming language, easy for beginners and advanced users to get started with,” said Jory Schwach, who is the CEO of Andium.com.