R statistical software1 can be downloaded from the Cran website:
This website contains pre-compiled binaries (recommended for most users) for Windows, Linux and Mac OS X. For installation, follow the instruction on the web site. In addition source codes are available. Source code will need to be compiled on a local computer (only for advanced users). Details are available on the CRAN website.
R has a command driven interface that is versatile and allows analyses to be reproduced with scripts.
The easiest way to use R is with RStudio2:
RStudio also allows the use of other languages, including Python and has a user friendly interface with a large window split into four. These four windows can show a script, terminal output, environment variables and file browser. It is also possible to run RStudio as a server, accessible over the internet.
As opposed to Python, R is a functional programming language (Python is object orientated). Many additional packages are available to perform analyses and make publication ready plots. This includes the popular ggplot2 package3.
Quarto is installed with RStudio and allows code to be incorporated and rendered to multiple formats; these include HTML, PDF, Microsoft Word and PowerPoint). This functionality is similar to the popular Jupyter Notebook.