Best practices for scientific computing

BEACON’s Titus Brown co-authored a paper now available as a pre-print on arXiv:

Best Practices for Scientific Computing
D. A. Aruliah, C. Titus Brown, Neil P. Chue Hong, Matt Davis, Richard T. Guy, Steven H. D. Haddock, Katy Huff, Ian Mitchell, Mark Plumbley, Ben Waugh, Ethan P. White, Greg Wilson, Paul Wilson
(Submitted on 1 Oct 2012)

Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. We describe a set of best practices for scientific software development that have solid foundations in research and experience, and that improve scientists’ productivity and the reliability of their software.

A quick preview is available here. The first key practice is “Write programs for people, not computers.”

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