An Introduction To Engineering Computation And Programming With Python

An Introduction to Engineering Computation and Programming with Python

In a world driven by technological advancements, computational engineering has emerged as a transformative force, revolutionizing the way engineers solve complex problems and design innovative solutions. This book offers a comprehensive introduction to computational engineering, providing readers with the knowledge and skills to harness the power of computing for engineering applications. With a focus on the Python programming language, this book takes a hands-on approach to teaching computational engineering concepts and techniques. Readers will learn the fundamentals of Python programming, including data types, operators, control flow statements, and object-oriented programming. They will also gain proficiency in using Python libraries and tools specifically designed for engineering tasks. The book delves into numerical methods, a cornerstone of computational engineering, providing clear explanations and step-by-step examples of methods for root finding, solving systems of linear equations, numerical integration, and differentiation. These methods are essential for analyzing and simulating complex engineering systems, and the book equips readers with the skills to apply these methods effectively. Engineering optimization is a crucial aspect of computational engineering, and this book covers various optimization techniques, including linear programming, nonlinear programming, and evolutionary algorithms. Readers will learn how to formulate engineering problems as optimization problems and apply appropriate algorithms to find optimal solutions. The book also explores advanced topics such as finite element analysis, computational fluid dynamics, machine learning, and the Internet of Things (IoT). These topics are increasingly important in modern engineering practice, and the book provides a solid introduction to these areas, enabling readers to stay at the forefront of computational engineering. Throughout the book, real-world engineering case studies and examples illustrate the practical applications of computational engineering techniques. These examples span a wide range of engineering disciplines, including mechanical, civil, electrical, and computer engineering, providing readers with a comprehensive understanding of how computational engineering is used to solve real-world problems. Whether you are a student pursuing a degree in engineering, a practicing engineer seeking to expand your skillset, or an enthusiast interested in the intersection of computing and engineering, this book is your gateway to unlocking the power of computational engineering. If you like this book, write a review!

Introduction to Python for Science and Engineering

Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed. Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms. Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments. All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.

Introduction to Computing and Programming in Python, A Multimedia Approach, Second Edition