Probably barking up the wrong tree here, but boy do I hate R. The documentation is the worst, combined with the poor r studio experience. Vscode makes notebooks a bit better but lost a lot of functionality as far as I could tell.
Laughed so hard when I this course once they told us to do ML in R with Keras … By calling the python API.
Don’t forget the centipede crawling around in the sewer pipes named Fortran. We’ve all been trying to kill it for years and yet, somehow, it keeps going.
I considered looking at R once. As a data scientist and an experienced Python user, maybe I’ll see something useful. Then I learned that R uses <- for variable assignment and = for equality evaluation, and I stopped learning because I would make that mistake if I learned to switch back and forth for the rest of my life.
Maan, I am way too much of a himbo chemical engineering student yo understand what IDE means, had to channel my inner parent and ask a software guy for help
You don’t really have to. You could save the workspace along with the history of you commands to load it at a later time, and never have a script at all.
The reason nobody really does that (except maybe if they use R once in every decade) is that it’s not really viable in the middle-term. That is because it doesn’t distinguish between failed attempts and actual, final code and so quickly becomes a mess.
I used to love it, but all the non-standard evaluation started to give me a headache.
It’s easy enough to just not use it at all, except for ggplot which recently deprecated aes_() which fucking kills me; they really are dead-set on forcing tidy evaluation.
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