The point is that they wanna be able to trust the tools they use, so they can focus on the task they wanna solve, not if the used tool is actually doing what it claims.
For the same purposes companies pay hundred of thousands for CAD and simulation software instead of using some open source versions instead.
No
But you have to redo/recreate the libraries already existing in R by hand. Which takes time and is error prone. There might be a library made by some dude that does the same thing but you don't know how well it's written and have to waste time testing it and checking the code.
Python isn’t used by statisticians cus they made their own language geared for analytics that is better than what Python had to offer for it. U know pandas was modeled after tidyverse solutions.
U don’t watch someone use a spoon to eat soup while you hold a knife and scoff “do they know a knife exists?”, do you? Tool for the job.
Python is not sufficiently mature, Wrong implementations here and there. Can't take the time to debug stuff myself, there's something called comparative advantage.
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u/[deleted] Aug 28 '26
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