Jeffrey PerkelMay 1, 2023
Today @Nature, by me: why you might want to do your computing work inside computational environments (e.g., conda, renv). With @ctb @fertiglab @minecr @benmarwick et al. https://www.nature.com/articles/d41586-023-01469-0
The sleight-of-hand trick that can simplify scientific computing

Computational environments and the tools to manage them can help researchers to deliver code that is reproducible, documented and shareable.

Show threadLudovic CourtèsMay 1, 2023
@jperkel @khinsen @benmarwick @minecr @fertiglab @ctb @Nature Fully agree with your conclusion: software environments are all too often overlooked as part of reproducibility efforts!
Show threadLudovic Courtès

@jperkel @benmarwick @minecr @fertiglab @ctb @Nature You write: “Tools written in languages such as C, Perl and Fortran can be hard to encapsulate into environments”.

In https://www.nature.com/articles/d41586-020-02462-7 you mentioned our work with #Guix, which fits exactly this space: reproducible software environments, independent of the language, with provenance tracking.

@khinsen

Challenge to scientists: does your ten-year-old code still run?

Missing documentation and obsolete environments force participants in the Ten Years Reproducibility Challenge to get creative.

May 1, 2023 at 3:29pmWeb