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Three hands-on computational problems for students are presented. Each problem is related to the overall topic of efficiency, 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 analyzes the language content of primary-source text documents. The second problem considers the numerical approximation of solutions to analytic equations. The third problem investigates the rendering of a geometric fractal at different levels of magnification. 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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