Best Practices for Scientific Computing

Abstract

Scientists spend an increasing amount of time building and using software.\nHowever, most scientists are never taught how to do this efficiently. As a\nresult, many are unaware of tools and practices that would allow them to write\nmore reliable and maintainable code with less effort. We describe a set of best\npractices for scientific software development that have solid foundations in\nresearch and experience, and that improve scientists' productivity and the\nreliability of their software.\n

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Affiliated Institutions

• University of California, Berkeley US
• University of Toronto CA
• University of Wisconsin–Madison US
• Monterey Bay Aquarium Research Institute US
• University of British Columbia CA
• Ontario Tech University CA
• Space Telescope Science Institute US
• Software Sustainability Institute GB
• Queen Mary University of London GB
• University College London GB
• Utah State University US
• Michigan State University US

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