R/Pharma (Open Source in Pharma) conference just went live now! 🎉
Not too late to join & free to register. Everyone is welcome to join!
Listen-in to the welcome remarks, select the "Stage" button on the left-hand side ☺️
#opensource#datascience
https://t.co/euduUI18uC
Holy shit, how did I not know Python integration in RStudio is this good? Had no idea that I can run Python line-by-line & a view objects in my environment just like with R. Looking at reticulate changelog & realising I only understood like 30% of its capabilities 🤯🐍 #rstats
@DrNishanShaik @rstats4ds the hardware and labor is beyond our control unfortunately, but certainly understand! there are always considerations when considering the right tools & tech for the job
Saw someone on LinkedIn refer to Shiny as a “nightmare”. First time in 4+ years I’ve heard that one!
Open to new perspectives even if they’re wrong, tho #rstats#sorrynotsorry
@DrNishanShaik @rstats4ds Hi Dr Nishan! Shiny is open source, which you probably know! There are free & low cost options for hosting (Shiny Server, https://t.co/vkcpW8a6zj) which are suitable for many. If you’re lookin for enterprise security & support those come at a cost.happy to chat more if helpful :)
Shiny + Arrow: A match made in high-performance-web-app heaven.
@mike_ketchbrook explains how and why {arrow} + {dplyr} + .parquet gives flat files memory-saving benefits, reducing Shiny app load time by valuable seconds (or more!).
Read more: https://t.co/X0q20WRm9f
The RStudio Community Table Gallery! <https://t.co/BRYgBcGH79> Lots of resources (including #rstats code) you can use to make your own awesome tables. This is really a treasure trove of tables! The introductory RStudio blog post is here: https://t.co/OMSNgJV3HF