I'm thinking about porting functionality in the {stats19} #rstats package into #Python and possibly other languages. Are you an #OpenSource developer with an interest in #DataScience for policy, sustainability + good? If so please check this issue and let us know your thoughts on taking this project to the next level 🚀 https://github.com/ropensci/stats19/issues/230 @rOpenSci@mszll + all any thoughts on best practices welcome also 🙏
@luis_de_sousa I get that you don't like R. It really is great if you want to get stuff done with data quickly. Just look at all the amazing things happening in the #rstats posts. I don't know why you would rubbish an entire language and #opensource community. Together we are stronger, collaboration between communities not competition requires mutual respect. Positivity can go a long way.
@luis_de_sousa Thanks for the encouragement, although your comment does come across as a bit snide and dismissive. #rstats is a great language. #Python is a great language. As @martinfleis and others have said, this kind of comment isn't helpful. Constructive comments/suggestions v. welcome.
"Great language" is merely a subjective statement. #R has long dropped outside the top 20 of the most used languages in the world and the trend only points downwards. It is in the bottom half of #StackOverflow 's admiration ranking and scores less than 4% in the desirable ranking. In contrast, recent languages like #Flow, #Julia, #Mojo, etc yield pretty much the opposite dynamics at the moment.