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This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.  The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language.  Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study.  The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing.
Autor: Wang, Adam Wang, Jay
ISBN: 9783031176487
Sprache: Englisch
Seitenzahl: 255
Produktart: Kartoniert / Broschiert
Verlag: Springer International Publishing
Veröffentlicht: 26.01.2024
Untertitel: Interactive Computing and Visualization with Python™
Schlagworte: Data Analysis Interactive Computation Just-in-Time Computing Machine Learning Model Building Physical Modeling Problem Solving Python Quantum Computing Visualization

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