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Switching Software in Science: Motivations, Challenges, and Solutions.
Trends in Cognitive Sciences 2019 January 32
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.
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