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by keeeba
206 days ago
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As a fairly extensive user of both Python and R, I net out similarly. If I want to wrangle, explore, or visualise data I’ll always reach for R. If I want to build ML/DL models or work with LLM’s I will usually reach for Python. Often in the same document - nowadays this is very easy with Quarto. |
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Julia allows embedding both R and Python code, and has some very nice tools for drilling down into datasets:
https://www.queryverse.org/
It is the first language I've seen in decades that reduces entire paradigms into single character syntax, often outperforming both C and Numpy in many cases. =3