There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app. Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web. R is very powerful and is Lisp in disguise coupled with the same infrastructure that let you use C under the hood like python for most libraries/packages.
> There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app.
I tried Shiny a few years back and frankly it was not good enough to be considered. Maybe it's matured since then--I'll give it another look.
> Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web.
I'm aware, but that doesn't address the problem I pointed out in any way.
> R is very powerful and is Lisp in disguise coupled with the same infrastructure that let you use C under the hood like python for most libraries/packages.
Things I don't want to ever do: use C to write a program that displays my R data to the web.
I guess this is due to the tag line of the company. I am not familiar with the compiler/LLVM space so unsure how the different branches (compiler maintenance and AI tool infrastructure for example) are covered by the PHD internships, etc.
Same but in both case, I am not sure what to actually program with Ada every time I try to learn it again. I am a bit to used to web/data programming I guess.
I haven't looked at the code in ages, but it's probably the only scaled consumer web application written in Scala and moreover running on Scala 3 that you can see the end-to-end source for. You have all the Twitter open source Scala projects, of course, but that's just infrastructure for running a web application, rather than an actual production quality app -- and my sense is that in 2024 there aren't many product teams outside of Twitter using their application tooling (as opposed to some of their data infrastructure, certainly the area where Scala sees the most use today with Spark etc).
TLDR if you want to see production-quality Scala code that this very second is serving 40k chess games -- and mostly bullet/blitz where ms latency is of course crucial -- definitely take a look.
Not as much hype for the language at the moment over Rust or Kotlin, say, but it remains my language of choice for web backends by far.
You are in for a whole lot of magical bad ideas :)
Also Google Sheets are "vulnerable" to CSV injection [1] too for "here is a link to an evil CSV, import the data yourself" scenario.
Honestly if there was a way to Auth (even basic Auth or Bearer) via classic Google Sheets, you could create a monster so easily.
I guess, I live in the wrong country and wrong profession if I want to make that much of money. This is an stupidly gigantic amount of money. I know that I will not make this much gross any year of my life, actually this is around 7-8 years of my gross annual salary.. I know US vs UE etc. Still this is crazy. Not sure how UE salary in the same field/category compares.
I always worked in R for time series analysis. This cookbook has everything you would need for a plan to analyze a time series [0] and this book provides a strong base and understanding while being focus on forecasting. [1] Have fun !
Not sure about the corollary as long flights always have restrooms and the time to use them. But maybe you are just uncomfortable on airplane toilets which is fine.
