At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

That jibes with what RStudio has seen in the data science community. “We see both [R and Python] as powerful, both with unique strengths and options,” Bajuk says. “Both help drive data science ...

Python and many of its popular data science and machine learning packages/libraries, such as NumPy and TensorFlow, are open source projects.

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio.

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

"Python is the primary programming language used by people doing data science," said Malte Schwarzkopf, an assistant professor of computer science at Brown and one of the developers of Tuplex.

Continuum Analytics, makers of a Python distribution called Anaconda preferred by data science users, has released Anaconda Fusion, a system for connecting the enterprise-grade version of Anaconda ...