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Three hands-on computational problems for students are presented. Each problem is related to the overall topic of visualization, and is organized around five specific lab programming assignments. The coding examples and problem statements are presented in the Python 2 language, along with the Tk and PIL libraries, but any comparable system for code development could be substituted with minimal additional overhead. Supporting data files, demos, and practice exercises are also available from the book's companion website. The first problem investigates the presentation of geospatial data from polygon boundaries and regional statistics. The second problem treats two-dimensional particle diffusion along with distribution analysis and varying initializations. The third problem presents alternative methods for approximating the mathematical constant PI and how those approaches might be visualized graphically. Concepts, skills, and applications are carefully sequenced for ease of understanding, rapid feedback, and differentiated progression for any level of prior coding experience, including absolute beginners.
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