Introduction to Engineering and Scientific Computing with Python - David E. Clough
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Présentation Introduction To Engineering And Scientific Computing With Python de David E. Clough Format Broché
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Résumé :
This book is an essential guide to Python, which will be relevant to all engineers, particularly undergraduate students in their first year. It will also be of interest to professionals and graduate students looking to hone their programming skills, and to situate Python in an engineering and scientific context....
Biographie: David E. Clough is Professor Emeritus at the University of Colorado. He has experience in a wide array of programming languages and computing tools and has applied his expertise through his teaching, research, and industrial applications. Over his career, Clough has taught hundreds of short courses to practicing professionals on applied computing and problem solving. Steven C. Chapra is the Emeritus Professor and Louis Berger Chair in Civil and Environmental Engineering at Tufts University. Before joining Tufts, he worked for the U.S. Environmental Protection Agency and the National Oceanic and Atmospheric Administration, and taught at Texas A&M University, the University of Colorado, and Imperial College London. He is a Fellow and Distinguished Member of the American Society of Civil Engineering (ASCE) and has received several awards for his scholarly and academic contributions, including the Rudolph Hering Medal (ASCE), and the Meriam-Wiley Distinguished Author Award (American Society for Engineering Education). As a strong proponent of continuing education, he has taught more than 90 workshops around the world for professionals on numerical methods, computer programming, and environmental modeling.
Sommaire: Chapter 1 Engineering and Scientific Calculations Chapter 2 Computer-Based Calculations Chapter 3 Python Basics Chapter 4 Structured Programming with Python Chapter 5 Graphics-Matplotlib Chapter 6 Array and Matrix Operations Chapter 7 Solving Single Algebraic Equations Chapter 8 Solving Sets of Algebraic Equations Chapter 9 Solving Differential Equations Chapter 10 Working with Data
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