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> Yes, Python makes preprocessing easy, but that doesn’t mean you can’t use R if you need to clean up your data. You can use any language. In fact, in many case
by cwyers 10y ago
> Yes, Python makes preprocessing easy, but that doesn’t mean you can’t use R if you need to clean up your data. You can use any language. In fact, in many cases, it’s structurally unsound to mix up your data purification routines with your analysis routines. It’s better to separate them. And if you’re going to separate them, why not use any language you like? That may indeed be Python, but it could be Java, C, or even assembly code. Or maybe even you want to preprocess your data within the database or some other storage layer. R doesn’t care.
The hell does this even mean?
- MR4D 10y agoYowza. I'm guessing it means clean your data first; then process your cleaned data; and if you're doing that, why not try another language. I think the author has a forest and trees issue here. He's definitely missing the point of Python for his use case.
- metaobject 10y agoI'm guessing he's being fascetious when he suggests using assembly language is even a consideration when thinking about preprocessing data. But why would you even include it in the list?