Comparing R and Python

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.

https://www.dataquest.io/blog/python-vs-r/

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.

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