This chapter is devoted to tools and examples that are useful for computational scientists and engineers who want to build their own problem solving environments. The focus is on sketching ideas. Particular application areas and required software functionality will put constraints on which ideas that are fruitful to follow.
Scientific investigations often involve running a simulation program repeatedly while varying one or more input parameters. Chapter 12.1 presents a module that enables input parameters to take on multiple values. The module computes all combinations of all parameters and sets up the experiments. Besides being useful and having significant applications for scientific investigations, the module also demonstrates many nice high-level features of Python.
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© 2009 Springer-Verlag Berlin Heidelberg
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(2009). Tools and Examples. In: Langtangen, H.P. (eds) Python Scripting for Computational Science. Texts in Computational Science and Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73916-6_12
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DOI: https://doi.org/10.1007/978-3-540-73916-6_12
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