I have used R for quite some time for data analysis. Especially with the use of Tidyverse package, it has been a very decent experience. Ggplot2 package for plotting is mostly intuitive. Synergy of Tidyverse ecosystem along with availability of bioinformatics and statistical analysis software with the R platform, it is an awesome combination.
Recently, I have wondered to try out Python for my daily microbiome data analysis. Julia was another option but for some reason, it feels still incomplete. There have been decent attempt to replicate the tidyverse package in Julia such as Tidier.jl https://github.com/TidierOrg/Tidier.jl. However, it still feels work in progress.
There have been time when trying to code with more defensive approach in R has lead to very cumbersome code. For example when trying to apply try and catch statement. This example was generated using chatGPT 4 which was similar to my use case:
