Programming With Python For Engineers
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Programming with Python for Engineers
This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following:· The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented.· The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided.
Introduction to Python for Engineers and Scientists
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Applydata types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
An Introduction to Engineering Computation and Programming with Python
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-09
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!