An Introduction To Engineering Computation And Programming With Python
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An Introduction To Engineering Computation And Programming With Python
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-09
An Introduction To Engineering Computation And Programming With Python written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-09 with Technology & Engineering categories.
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 Computing And Programming In Python A Multimedia Approach Second Edition
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Author : Barbara Ericson
language : en
Publisher: Prentice Hall
Release Date : 2012
Introduction To Computing And Programming In Python A Multimedia Approach Second Edition written by Barbara Ericson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Spreadsheet Problem Solving And Programming For Engineers And Scientists
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Author : David E. Clough
language : en
Publisher: CRC Press
Release Date : 2023-10-19
Spreadsheet Problem Solving And Programming For Engineers And Scientists written by David E. Clough and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-19 with Mathematics categories.
Spreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations. Beginning with the basics of spreadsheets and programming, this book builds on the authors’ decades of experience teaching spreadsheets and programming to both university students and professional engineers and scientists. Following on from this, it covers engineering economics, key numerical methods, and applied statistics. Finally, this book details the Visual Basic for Applications (VBA) programming system that accompanies Excel. With each chapter including examples and a set of exercises, this book is an ideal companion for all engineering courses and also for self-study. Based on the latest version of Excel (Microsoft Excel for Microsoft 365), it is also compatible with earlier versions of Excel dating back to Version 2013. Including numerous case studies, this book will be of interest to students and professionals working in all areas of engineering and science.
Introduction To Python For Science And Engineering
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Author : David J. Pine
language : en
Publisher: CRC Press
Release Date : 2024-09-23
Introduction To Python For Science And Engineering written by David J. Pine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Computers categories.
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.
A Primer On Scientific Programming With Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2016-07-28
A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-28 with Computers categories.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
Introduction To Computing And Programming In Python
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Author : Mark Guzdial
language : en
Publisher: Prentice Hall
Release Date : 2005
Introduction To Computing And Programming In Python written by Mark Guzdial and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Guzdial introduces programming as a way of creating and manipulating mediaa context familiar and intriguing to today's readers.Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications). Includes implementing Photoshop-like effects, reversing/splicing sounds, creating animations. Acknowledges that readers in this audience care about the Web; introduces HTML and covers writing programs that generate HTML. Uses the Web as a Data Source; shows readers how to read from files, but also how to write programs to directly read Web pages and distill information from there for use in other calculations, other Web pages, etc. (examples include temperature from a weather page, stock prices from a financials page).A comprehensive guide for anyone interested in learning the basics of programming with one of the best web languages, Python.
Introduction To Engineering And Scientific Computing With Python
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Author : David E. Clough
language : en
Publisher: CRC Press
Release Date : 2022-09-07
Introduction To Engineering And Scientific Computing With Python written by David E. Clough and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Computers categories.
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.
Integrating Python With Leading Computer Forensics Platforms
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Author : Chet Hosmer
language : en
Publisher: Syngress
Release Date : 2016-09-26
Integrating Python With Leading Computer Forensics Platforms written by Chet Hosmer and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-26 with Computers categories.
Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms. - Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use - Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT - Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms
Python For Electrical And Electronics Engineering
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Author : Abhijit Bora
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-02-24
Python For Electrical And Electronics Engineering written by Abhijit Bora and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
Use this book to unleash Python’s potential in the field of electrical and electronics engineering. This extensive guide offers a thorough introduction to Python’s many applications in the field and is intended for both aspiring engineers and experienced professionals. Examine how Python makes difficult tasks like data analysis, and test equipment automation easier. This book gives readers the tools they need to tackle real-world engineering problems, from electrical data processing to solar PV (Photovoltaics) module assessment. To ensure that readers not only comprehended the concepts but also obtain practical experience, each chapter combines the theory with real-life examples. This book will help you automate testing procedures and create control systems for different data engineering applications in Electrical and Electronics Engineering.
Generative Ai An Overview
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Author :
language : en
Publisher: Editor IJSMI
Release Date : 2025-06-19
Generative Ai An Overview written by and has been published by Editor IJSMI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
Generative Artificial Intelligence, an Artificial Intelligence concept which is used to create own data which includes creating text, audio, video, images, programming codes and also advanced data structures such as protein structures. Before the Generative AI, Artificial Intelligence models used Machine learning models to predict pattern and structures. Generative AI models are widely being used in Business, healthcare, education and media sectors. Generative AI helps organizations to be more innovative, cost effective and efficient in their operations. Machine learning, Deep Learning, Large Language Models, transformers forms the basis for creating own data in Generative AI environment. Generative AI or Gen AI uses large data set to frame set of rules which is used in creating of new content. ChatGPT and Microsoft Copilot are one of the examples of the Generative AI tools which helps user to create texts and develop answers to users questions. Both proprietary as well as open source Generative aI models are available now. Large Language Models or foundation models which are training large datasets forms the basis of creating contents in Generative AI. These models do not need to be trained and their trained on their own and this is the major difference between supervised Machine learning models which require labeling for classifying the data. Generative AI model building starts with the data collection and processing of large datasets, then moving to model building, training and pattern learning from those large datasets and then finally rendering and validating different created the different types of contents such as text, audio, video and images. The book also provides overview of Python programming for the readers who are first time learners of Python programming. The contents are adopted from Author’s book on Python programming for Data Scientists