My current setup for &quot;scientific computing&quot; is RStudio and CSV files for quickly running typical stats-tests (a couple of t-tests and a tost + krippendorff&#x27;s alpha the last couple of month) and python+libraries for anything that resembles &quot;building stuff&quot; (mostly scikit-learn to build some classifiers).
I mostly use R &quot;as a consumer&quot; i.e. I basically use RStudio whenever my colleagues fire up SPSS.
That combination works fairly well. I&#x27;d recommend it to anyone who enters academia in any field that involves statistics who doesn&#x27;t want to use the typical proprietary tools (I&#x27;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&#x27;s a decent tool).