I like your comparison. So it sounds that one may draw the conclusion that it doesn‘t matter that much which language one chooses. In the end both languages provide typically required functionalities for data science and it’s probably better to find out for yourself which language feels more intuitive/effective to use than listen to an overheated discussion on this topic.
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Tazinho
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R vs. Python for Data Science 7 years ago
R vs. Python for Data Science 7 years ago
The statement in the link means that one should avoid to include the term tidyverse as a pkg dependency. Instead one should name the specific pkgs from the tidyverse individually. This makes sense, as the tidyverse is a collection of pkgs and referring to it as a whole just blows up the pkg. However, there is no indication to not use tidyverse pkgs (dplyr, ggplot2, stringr,...) in packages or production.