Again, Vik doesn’t just write about the pro’s and con’s of these two languages, but compares them practically by going through a number of activities side-by-side.
His conclusions, in short:
· R is more functional, Python is more object-oriented
· R has more data analysis built-ins, Python relies on packages
· Python has “main” packages for data analysis tasks, R has a larger ecosystem of small packages
· R has more statistical support in general
· It’s usually more straightforward to do non-statistical tasks in Python
· There are many parallels between the data analysis workflow in both
PS I forgot to add the link to the previously posted article about Python data visualization tools. It can be found here.