I skimmed through the book, and think it does a very poor job at showcasing how R and Python are juxtaposed in industry.
To be fair, the book advertises showing R and Python code side-by-side. And that’s what it does. But it does it unlike how the languages are most often used in industry.
As a quick example, I saw no tidyverse code, which is essentially the only thing keeping R in the game. Learning R from this book won’t prepare you for writing R in most R shops.
I don’t see the utility in knowing how to do the same thing in both python and R if you’re a beginner. This is even more true if you’re not taking advantage of the strengths/weaknesses of either language.
Instead, just learn one of the languages well, and then learn the other well. Shallow dives in both will make you weak in both.
Unfortunately, 90% of data science content seems to be geared at beginners.
To be fair, the book advertises showing R and Python code side-by-side. And that’s what it does. But it does it unlike how the languages are most often used in industry.
As a quick example, I saw no tidyverse code, which is essentially the only thing keeping R in the game. Learning R from this book won’t prepare you for writing R in most R shops.
I don’t see the utility in knowing how to do the same thing in both python and R if you’re a beginner. This is even more true if you’re not taking advantage of the strengths/weaknesses of either language.
Instead, just learn one of the languages well, and then learn the other well. Shallow dives in both will make you weak in both.
Unfortunately, 90% of data science content seems to be geared at beginners.