when it comes to dealing with data science, python have most of modeling in Sklearn. You need pandas only to deal with data frames. In R there are 600 ways to open csv file! Also I find the RDS format in R extremely confusing. Agree that RStudio is more established and easier to work with. Jupyter Lab needs way more development to reach RStudio functionality.
Thanks for the video! As an R fan and a python user. Did you use the reticulate package on R/Rstudio to code in Python and to converte R/Python object into the other language? And if yes, what do you think about it? Again, thank you for your work!
I almost exclusively used reticulate for keras and tensorflow, so I don't have much to say about this topic. How is your experience around object conversation?
@@LiquidBrain Now, I'm using Python on Rstudio when I have to do webscraping with Javascript content to render (requests-HTML or playwright) or when I need some nlp in my text mining process (spaCy), both Without stoping my workflow on R. For now it work pretty well (I'm mostly working with vector, html object and data frame). But the conversion doesn't work well with nested dataframe since the content of the nested row(s) doesn't get converted. But sometimes it's easier to do a full python script on another code editor (VS code for instance)
when it comes to dealing with data science, python have most of modeling in Sklearn. You need pandas only to deal with data frames. In R there are 600 ways to open csv file! Also I find the RDS format in R extremely confusing. Agree that RStudio is more established and easier to work with. Jupyter Lab needs way more development to reach RStudio functionality.
Thanks for the video!
As an R fan and a python user. Did you use the reticulate package on R/Rstudio to code in Python and to converte R/Python object into the other language? And if yes, what do you think about it?
Again, thank you for your work!
I almost exclusively used reticulate for keras and tensorflow, so I don't have much to say about this topic. How is your experience around object conversation?
@@LiquidBrain Now, I'm using Python on Rstudio when I have to do webscraping with Javascript content to render (requests-HTML or playwright) or when I need some nlp in my text mining process (spaCy), both Without stoping my workflow on R. For now it work pretty well (I'm mostly working with vector, html object and data frame). But the conversion doesn't work well with nested dataframe since the content of the nested row(s) doesn't get converted. But sometimes it's easier to do a full python script on another code editor (VS code for instance)
Ya, i feels the same way to. working with two language at the same time just hurts my brain :P
Same here
I agree 100% with you.
100% agree with arrays starting from 1. Nobody starts counting from 0.
Same here
funny thing is i have the exact same IDE and package management reasons as you except swap R and python in every sentence
🤣🤣 basically what you started with is that you end up getting use to I suppose
R supremacy ☺️
R for ever
Ever considered Julia?
Definitely under my radar, but haven't got the time to do a deep dive into that language