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R was that language I learnt so many years ago. I love it actually, have so many fond memories. It’s hard to find something better especially for prototyping. I

R was that language I learnt so many years ago. I love it actually, have so many fond memories. It’s hard to find something better especially for prototyping. I will admit productionalizing has almost drag and drop simplicity in python compared to R. I love love love what Hadley has done with Dplyr for the most part, at least in spirit, though I think the implementation could have been done better so as not to be so clunky, esp wrt NSE. But I think he is just trying to work within the current R ecosystem. Which makes me ask.. is it then time for R2? (Like a Python 3). Before you shoot me.. Do we need to save the good things we have innovated from within the R ecosystem over the years and consider doing things from scratch? Is this what Julia tried to do? I haven’t gotten around to trying it yet. That said, I think R is always going to be there and have it’s place. Frankly if they could just make an IDE like Rstudio that ran python, I’d probably be happy enough with that. I heard with reticulate you can run both, curious to hear of others experience with this..

bayesian_horse 7y ago
You should try Jupyter lab. It has notebooks, text editors and more.
- hatmatrix 7y ago
  The whole problem with notebooks is that it's not a simple text file. On the other hand has anyone tried Rodeo for Python?
  - subroutine 7y ago
    I've used it. It does have the feel of RStudio IDE if that's what you're getting at.
  - uptownfunk 7y ago
    I wanted to like it but it kept crashing when I tried it a year or two back, I may give it another shot. I do recall it was closest to what i wanted..
  - bayesian_horse 7y ago
    You can save notebooks to simple text files. You can write simple textfiles in jupyter lab and have a split view where you can execute it. You can have a notebook, console and graph view with the same kernel on the same page as split windows. You can make jupyter lab behave mostly like rstudio, but it can do a lot more, especially in terms of visualization and rich display of data objects.
  - j88439h84 7y ago
    jupytext --sync
  - goatinaboat 7y ago
    If you need a multi-language notebook that plays nicely with version control then RMarkdown in RStudio is worth checking out
- euler_angles 7y ago
  I like Jupyterlab, but there's a huge gap between it and something like RStudio.
amrrs 7y ago
`reticulate` is a brilliant package for running Python within R. I guess it's good as long as it's local machine. I've not tried productionizing a code that has both R+Py. But it can work within Shiny too, helping bring Python's Datascience stack (esp. scikit-learn) within R.

bayesian_horse 7y ago

You should try Jupyter lab. It has notebooks, text editors and more.

hatmatrix 7y ago
The whole problem with notebooks is that it's not a simple text file. On the other hand has anyone tried Rodeo for Python?
- subroutine 7y ago
  I've used it. It does have the feel of RStudio IDE if that's what you're getting at.
- uptownfunk 7y ago
  I wanted to like it but it kept crashing when I tried it a year or two back, I may give it another shot. I do recall it was closest to what i wanted..
- bayesian_horse 7y ago
  You can save notebooks to simple text files. You can write simple textfiles in jupyter lab and have a split view where you can execute it. You can have a notebook, console and graph view with the same kernel on the same page as split windows. You can make jupyter lab behave mostly like rstudio, but it can do a lot more, especially in terms of visualization and rich display of data objects.
- j88439h84 7y ago
  jupytext --sync
- goatinaboat 7y ago
  If you need a multi-language notebook that plays nicely with version control then RMarkdown in RStudio is worth checking out
euler_angles 7y ago
I like Jupyterlab, but there's a huge gap between it and something like RStudio.

amrrs 7y ago

`reticulate` is a brilliant package for running Python within R. I guess it's good as long as it's local machine. I've not tried productionizing a code that has both R+Py. But it can work within Shiny too, helping bring Python's Datascience stack (esp. scikit-learn) within R.