For some reason, nobody uses R for machine learning

A hug to you all.😍😍😍

@PythonPr r is fashionable and i don't trust anything that's fashionable. also r users give the worst impression, they have awful habits and care little about debugging etc, they love to borrow others code

@PythonPr R for machine learning looks like an old fashion luxury car. Beautiful but hard to maintain

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@PythonPr Because there is no xonsh shell for R

@PythonPr Debugging, production ability, maintenance, integration, performance everything is better with Python.

@PythonPr The only reason you’re the one is because in the beginning, you were the easiest to teach to a machines. Everything has to look the same.. hey.. I use just two spaces for all my indentations. Sometime I use 4x.

@PythonPr I felt R like a very statitians tool and non computer science people.

@PythonPr Nobody even knows what R is. Pointless language that will die out eventually. Just like Ruby.

@PythonPr R not as sexy as Python 😂

@PythonPr r is still rly good for stats n data stuff, but for deep learning and prod systems? yeah ppl mostly use python now 😭

@PythonPr Some people sef, na sabi if R dey exist sef, Python don cover am finish. 🙂

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@PythonPr Python queue looking like a blockbuster drop. R booth? Crickets. Team Python all the way. It just works in production.

@PythonPr R is great for advanced statistics. Python is better for anything else.

@PythonPr Python has the greatest library support in science. That's the reason

@PythonPr R is great for research. Python won because engineers actually had to ship things.

@PythonPr Bc R is a garbage language

@PythonPr Cuando aprendes R, te das cuenta que es lo más práctico, fácil y sencillo y útil. Depende el fin. Si queres ir al parque con una bicicleta alcanza. Si queres ir a la luna, Python

@PythonPr R is basically preferable for Stats works.

@PythonPr R lost the ML race because the deep learning ecosystem standardized on Python early. Once PyTorch and TensorFlow shipped Python-native, R became a stats-and-viz language. The lesson is that ecosystem gravity beats language design every time.

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@PythonPr But, why?

@PythonPr Python follows the logic of other programming languages

@PythonPr .

@PythonPr I use 👍

@PythonPr Not anymore. Need to get with the times.

@PythonPr For some reasons?

@PythonPr Memory issues

@PythonPr Python dominates because of its massive ecosystem (25x more packages than R) and seamless integration with other software tools and cloud platforms. Modern ML workflows require "gluing" different technologies together, which is far easier to do with Python than with R.

@PythonPr Потому что питон изначально крутил векторные базы из коробки и очень много нароботок было на нем - а R пока догоняет

@PythonPr Bc it’s lame

@PythonPr When the objective shifts to causal inference, mediation analysis, or global mortality decomposition, the diagnostic tools provided by R packages like grf or MatchIt offer far more profound statistical insights than the 'black-box' models prevalent in Python.

@PythonPr . . ^^

@PythonPr . .)

@PythonPr It's outdated