DescriptionScientists and engineers at KAUST interact with numerical software on a daily basis, whether they are visualizing whale shark migration patterns on the visualization laboratory’s Showcase, analyzing plasma instabilities on Shaheen, or conducting statistical analysis on their workstation. While there are many special-purpose numerical software tools developed for specific applications and domains, there are very few general purpose tools and languages. The Python programming language stands out as a powerful, freely available, easy-to-learn, and popular general purpose tool for scientists and engineers of all disciplines. This course is geared at new graduate students of a wide range of programming backgrounds who would like to have more control of their data for computation, analysis, and visualization.
I am a Research Scientist at KAUST working at the intersection of applied mathematics, software engineering, and application domains as diverse as adaptive optics, semiconductor lithography, and ice-sheet modeling. My focus is in the collaborative development of robust, reproducible, and scalable software tools for computational science. You can find out more about me athttp://aron.ahmadia.net
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