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Python not suitable platform for reproducible research

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While [Active Papers] has achieved its mission of demonstrating that unifying computational reproducibility and provenance tracking is doable and useful, it has also demonstrated that Python is not a suitable platform to build on for reproducible research. Breaking changes at all layers of the software stack are too frequent.

Konrad Hinsen in Archiving Active Papers

I started using Python for my PhD around 1997, to control simulations I wrote using Fortran 90. I chose Python based on Konrad Hinsen’s writings at the time in a long-disappeared website. A few years later I moved all my work to R, which I found much more stable. I have some 20-year-old R base code that still runs. 😇

Incidentally, last year I wrote a series of posts on Some love for base R.


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