Yes, the Python community is much bigger and is more likely to pull R packages into the Python ecosystem than the reverse, but which you’ll use may ultimately be a question of and, not or.

Unlike Python which is built to have a simple syntax, R has a tricky syntax with a bit of a steep learning curve. UCLA has a great resource to get you started in R and our learning path in data ...

Interest in R was surging when Theuwissen founded DataCamp in 2013 with Dieter De Mesmaeker and Jonathan Cornelissen. In fact, R was the core focus at DataCamp, which provides education and training ...

The Comprehensive R Archive Network (CRAN) offers 10,033 packages at this writing, and as with Python, the list is getting longer. These packages are built for one task only: statistical analysis ...

R, Python, and other programming languages are integrated into Tableau for visual analytics and reporting. No matter what the statistical environment you are working in – R, Python, or other – Tableau ...

You’ll get no argument from Bajuk that R and Python are good at different things. R has been around longer than Python and has a more mature group of statistical packages and libraries associated with ...

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 ...

Including R and Python in SQL Server works well for both the existing SQL Server audience and for data scientists who are unlikely to have experience with T-SQL. The two languages have become ...