Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.
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Qingkai Kong is currently a seismologist at Lawrence Livermore National Laboratory. He is actively working on using machine learning approaches for seismic simulations and explosion discrimination. Dr. Kong has a Master’s degree in Structural Engineering and a PhD. in Earth Science. Before joining the lab, he worked at Berkeley Division of Data Sciences and Berkeley Seismology Lab as a researcher to develop the MyShake project. He also worked as a visiting researcher at Google's visiting Faculty program to help build the Android Earthquake Alerting system. In his spare time, he loves playing soccer and kayaking in SF bay. Play better, work better.
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