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.

Just what I was looking for: Python data viz libraries compared by @vikparuchuri HT@dataelixir

Vik provides brief insight in some Python data visualization libraries, but he does so with practical examples on how the libraries can be used. Good article to get more familiar of options and when to use them.

[Just what I was looking for: Python data viz libraries compared by @vikparuchuri HT@dataelixir]