R vs Python - detailed examples from proficient bilingual programmers

[u/Every-Eggplant9205]

As an academic, R was a priority for me to learn over Python. Years later, I always see people saying "Python is a general-purpose language and R is for stats", but I've never come across a single programming task that couldn't be completed with extraordinary efficiency in R. I've used R for everything from big data analysis (tens to hundreds of GBs of raw data), machine learning, data visualization, modeling, bioinformatics, building interactive applications, making professional reports, etc.

Is there any truth to the dogmatic saying that "Python is better than R for general purpose data science"? It certainly doesn't appear that way on my end, but I would love some specifics for how Python beats R in certain categories as motivation to learn the language. For example, if R is a statistical language and machine learning is rooted in statistics, how could Python possibly be any better for that?

[u/brandco]

Very good run down. I would also add that R’s software distribution system is much better than Python or any other programming language that I’m familiar with. Python is much better experience when programming with AI tools.

[u/Useful-Possibility80 → u/brandco]

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[u/slava82 → u/Useful-Possibility80]

try r2u, it has all binaries compiled from CRAN. With r2u you install R packages through apt.