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For those of you who us R still what is your use case? We found R has a really hard time integrating into data pipelines and was best used as a standalone tool by individuals, which doesn't really work in our particular professional setup where everyone works collaboratively together. About half our team can wrangle and plot as fast as we can think of ideas. It creates an incredibly tight cycle time between us having ideas and getting answers; sometimes many e. Before we used R, it would require someone jotting down things to investigate and reporting back in the next meeting.

Totally science io

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Do you have specific cases totally science io you find frustrating? I don't know what R does now, but this was a deal breaker for me at the time because I was dealing with really large integers that regularly broke this limit.

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Can't speak to abandonment, but it seems a lot of recent devel is occurring inside the the tidyverse, which is deprecating a whole bunch of other stuff. It simply means that R was designed with a particular application in mind. Getting the data into table form is often better suited for python. I dipped my feet into R a few years back, but eventually stopped it because of the way it handles integers. Some became happy converts, the rest begrudgingly accepted it as a tool we would use. I will agree that I left just as tidyverse was coming of age and I'm sometimes jealous i never got to use it. I'm an old R user forced to mostly use python because that's what the team uses. I'd given up hope of seeing a real weakness named as such : There is bit64 and doubles being used as 53bit pseudo-integers - but if I needed 64bit integers, R wouldn't be my first choice, definitely. What about R's language makes it better for Repl driven development? Latest Games Endless Truck. Sorry, unfortunately do not do consulting.

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Why do you think that? Fell in love in stat at Cal and now while I am doing software engineering I have very fond memories of writing R and tidyverse reply. Also Erlang with the actor model, and Go with its goroutines for network services. There are many outstanding unblocked games nowadays, and Totally Science currently offers more than of the most popular games covering many genres like racing, shooting, intelligence, and many more. No, it's not django, but it's a much richer framework than dash, and you can always bring your own HTML if what it generates for you isn't sufficient. And once you start writing more code in python it starts to become harder to justify two separate code bases that can do the same thing so the R code got phased out and rewritten in python so we could have a single code base and not have to duplicate functionality in two languages. Our experts come to us comfortable with R. The option to stop on warnings isn't useful because older packages seem to abuse warnings as messages. Otherwise, that is where Docker and k8s shine. Wow, I really appreciate the reply. Compared to dplyr and the tidyverse, pandas very noticeably gets in your way rather than being a tool of thought. Cookie Clicker. I have a vague intuition that transaction costs will be sort of cumulatively symmetric: participants who get in quickly will pay a lot per unit time, but conversely, people who VWAP in will get zero-rated on the way out.