Introduction to Engineering and Scientific Computing with Python

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A01=David E. Clough
A01=Steven C. Chapra
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applied statistics methods
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Author_Steven C. Chapra
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computational problem solving
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engineering calculations with Python applications
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Error Tolerance
Euler Method
False Position
False Position Method
Fixed Point Iteration
Gaussian Elimination
Heun Method
Import Matplotlib
Import Numpy
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Launch Angle
Linear Algebraic Equations
Newton Raphson Method
Nonlinear Algebraic Equations
numerical analysis techniques
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Pivot Row
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Python Code
Python Function
Python Script
RGB Color Model
RGB Model
scientific programming
Si Unit
softlaunch
structured coding fundamentals
Successive Substitution Method
Trapezoidal Rule Method
undergraduate engineering
Van Der Waals Equation

Product details

  • ISBN 9781032188942
  • Weight: 720g
  • Dimensions: 152 x 229mm
  • Publication Date: 07 Sep 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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As more and more engineering departments and companies choose to use Python, this book provides an essential introduction to this open-source, free-to-use language. Expressly designed to support first-year engineering students, this book covers engineering and scientific calculations, Python basics, and structured programming.

Based on extensive teaching experience, the text uses practical problem solving as a vehicle to teach Python as a programming language. By learning computing fundamentals in an engaging and hands-on manner, it enables the reader to apply engineering and scientific methods with Python, focusing this general language to the needs of engineers and the problems they are required to solve on a daily basis. Rather than inundating students with complex terminology, this book is designed with a leveling approach in mind, enabling students at all levels to gain experience and understanding of Python. It covers such topics as structured programming, graphics, matrix operations, algebraic equations, differential equations, and applied statistics. A comprehensive chapter on working with data brings this book to a close.

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 apply Python to engineering and scientific contexts.

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.

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