Abstract
A laboratory's programming language has wide-ranging implications. As demands towards scientific programming change and languages evolve, investigators may look to change their existing software stack. Following up on a recent online debate, we discuss key considerations and challenges in choosing and changing languages and suggest solutions for investigators looking to switch.
Cite
CITATION STYLE
APA
Wessel, J. R., Gorgolewski, K. J., & Bellec, P. (2019, April 1). Switching Software in Science: Motivations, Challenges, and Solutions. Trends in Cognitive Sciences. Elsevier Ltd. https://doi.org/10.1016/j.tics.2019.01.004
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