My current setup for "scientific computing" is RStudio and CSV files for quickly running typical stats-tests (a couple of t-tests and a tost + krippendorff's al

My current setup for "scientific computing" is RStudio and CSV files for quickly running typical stats-tests (a couple of t-tests and a tost + krippendorff's alpha the last couple of month) and python+libraries for anything that resembles "building stuff" (mostly scikit-learn to build some classifiers). I mostly use R "as a consumer" i.e. I basically use RStudio whenever my colleagues fire up SPSS. That combination works fairly well. I'd recommend it to anyone who enters academia in any field that involves statistics who doesn't want to use the typical proprietary tools (I've also tried PSPP and it works ok for basic tasks but lacks a lot of functionality. If all you want to do is run a quick t-test or ANOVA it's a decent tool).