Scientific Software Engineering in a Nutshell
by Helmut G. Katzgraber
Publisher: arXiv 2010
Number of pages: 39
Writing complex computer programs to study scientific problems requires careful planning and an in-depth knowledge of programming languages and tools. In this chapter the importance of using the right tool for the right problem is emphasized. Common tools to organize computer programs, as well as to debug and improve them are discussed, followed by simple data reduction strategies and visualization tools.
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How do you price your software? Is it science or magic? How much attention should you pay to your competitors? This handbook will provide you with the theory, practical advice and case studies you need to stop yourself from reaching for the dice.
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