Python For Mechanical And Aerospace Engineering

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Python for Mechanical and Aerospace Engineering

Alex Kenan
Python for Mechanical and Aerospace Engineering Book PDF

Author : Alex Kenan
Publisher : Alex Kenan
Page : 210 pages
File Size : 53,5 Mb
Release : 2021-01-01
Category : Computers
ISBN : 9781736060605

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Python for Mechanical and Aerospace Engineering by Alex Kenan Pdf

The traditional computer science courses for engineering focus on the fundamentals of programming without demonstrating the wide array of practical applications for fields outside of computer science. Thus, the mindset of “Java/Python is for computer science people or programmers, and MATLAB is for engineering” develops. MATLAB tends to dominate the engineering space because it is viewed as a batteries-included software kit that is focused on functional programming. Everything in MATLAB is some sort of array, and it lends itself to engineering integration with its toolkits like Simulink and other add-ins. The downside of MATLAB is that it is proprietary software, the license is expensive to purchase, and it is more limited than Python for doing tasks besides calculating or data capturing. This book is about the Python programming language. Specifically, it is about Python in the context of mechanical and aerospace engineering. Did you know that Python can be used to model a satellite orbiting the Earth? You can find the completed programs and a very helpful 595 page NSA Python tutorial at the book’s GitHub page at https://www.github.com/alexkenan/pymae. Read more about the book, including a sample part of Chapter 5, at https://pymae.github.io

Python for Mechanical and Aerospace Engineering

Alexander Kenan
Python for Mechanical and Aerospace Engineering Book PDF

Author : Alexander Kenan
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2020-12-13
Category : Electronic
ISBN : 1736060627

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Python for Mechanical and Aerospace Engineering by Alexander Kenan Pdf

Learn some of Python's most popular libraries like BeautifulSoup, Matplotlib, Numpy, Requests, and Tkinter by scraping a website for aluminum alloy information, graphing satellite orbits, creating a GUI to convert different units, plotting airfoil coordinates, publishing programs to PDF, and more!

Python for Mechanical and Aerospace Engineering

Alexander Kenan
Python for Mechanical and Aerospace Engineering Book PDF

Author : Alexander Kenan
Publisher : Unknown
Page : 128 pages
File Size : 49,7 Mb
Release : 2020-12-13
Category : Electronic
ISBN : 1736060635

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Python for Mechanical and Aerospace Engineering by Alexander Kenan Pdf

Learn some of Python's most popular libraries like BeautifulSoup, Matplotlib, Numpy, Requests, and Tkinter by scraping a website for aluminum alloy information, graphing satellite orbits, creating a GUI to convert different units, plotting airfoil coordinates, publishing programs to PDF, and more!

Computational Nuclear Engineering and Radiological Science Using Python

Ryan McClarren
Computational Nuclear Engineering and Radiological Science Using Python Book PDF

Author : Ryan McClarren
Publisher : Academic Press
Page : 460 pages
File Size : 42,5 Mb
Release : 2017-10-27
Category : Technology & Engineering
ISBN : 9780128123713

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Computational Nuclear Engineering and Radiological Science Using Python by Ryan McClarren Pdf

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering. Offers numerical methods as a tool to solve specific problems in nuclear engineering Provides examples on how to simulate different problems and produce graphs using Python Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems

Machine Learning for Engineers

Ryan G. McClarren
Machine Learning for Engineers Book PDF

Author : Ryan G. McClarren
Publisher : Springer Nature
Page : 252 pages
File Size : 43,9 Mb
Release : 2021-09-21
Category : Technology & Engineering
ISBN : 9783030703882

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Machine Learning for Engineers by Ryan G. McClarren Pdf

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.

Finite Element Methods in Civil and Mechanical Engineering

Arzhang Angoshtari,Ali Gerami Matin
Finite Element Methods in Civil and Mechanical Engineering Book PDF

Author : Arzhang Angoshtari,Ali Gerami Matin
Publisher : CRC Press
Page : 182 pages
File Size : 47,7 Mb
Release : 2020-12-09
Category : Technology & Engineering
ISBN : 9780429809279

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Finite Element Methods in Civil and Mechanical Engineering by Arzhang Angoshtari,Ali Gerami Matin Pdf

The finite element method is widely employed for numerical simulations in engineering and science due to its accuracy and efficiency. This concise introduction to the mathematical theory of the finite element method presents a selection of applications in civil and mechanical engineering including beams, elastic membranes, the wave equation, heat transfer, seepage in embankment, soil consolidation, incompressible fluids, and linear elasticity. Jupyter notebooks containing all Python programs of each chapter can be downloaded from the book's companion website. Arzhang Angoshtari is an assistant professor and Ali Gerami Matin is a graduate student, both in the department of Civil and Environmental Engineering at the George Washington University, USA. Their research interests cover theoretical and computational mechanics and finite element methods.

Programming the Raspberry Pi: Getting Started with Python

Simon Monk
Programming the Raspberry Pi Getting Started with Python Book PDF

Author : Simon Monk
Publisher : McGraw Hill Professional
Page : 193 pages
File Size : 52,7 Mb
Release : 2012-11-23
Category : Computers
ISBN : 9780071807845

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Programming the Raspberry Pi: Getting Started with Python by Simon Monk Pdf

Program your own Raspberry Pi projects Create innovative programs and fun games on your tiny yet powerful Raspberry Pi. In this book, electronics guru Simon Monk explains the basics of Raspberry Pi application development, while providing hands-on examples and ready-to-use scripts. See how to set up hardware and software, write and debug applications, create user-friendly interfaces, and control external electronics. Do-it-yourself projects include a hangman game, an LED clock, and a software-controlled roving robot. Boot up and configure your Raspberry Pi Navigate files, folders, and menus Create Python programs using the IDLE editor Work with strings, lists, and functions Use and write your own libraries, modules, and classes Add Web features to your programs Develop interactive games with Pygame Interface with devices through the GPIO port Build a Raspberry Pi Robot and LED Clock Build professional-quality GUIs using Tkinter

Uncertainty Quantification and Predictive Computational Science

Ryan G. McClarren
Uncertainty Quantification and Predictive Computational Science Book PDF

Author : Ryan G. McClarren
Publisher : Springer
Page : 345 pages
File Size : 50,6 Mb
Release : 2018-11-23
Category : Science
ISBN : 9783319995250

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Uncertainty Quantification and Predictive Computational Science by Ryan G. McClarren Pdf

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.

Hardcore Programming for Mechanical Engineers

Angel Sola Orbaiceta
Hardcore Programming for Mechanical Engineers Book PDF

Author : Angel Sola Orbaiceta
Publisher : No Starch Press
Page : 378 pages
File Size : 44,9 Mb
Release : 2021-06-22
Category : Computers
ISBN : 9781718500792

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Hardcore Programming for Mechanical Engineers by Angel Sola Orbaiceta Pdf

Hardcore Programming for Mechanical Engineers is for intermediate programmers who want to write good applications that solve tough engineering problems – from scratch. This book will teach you how to solve engineering problems with Python. The “hardcore” approach means that you will learn to get the correct results by coding everything from scratch. Forget relying on third-party software – there are no shortcuts on the path to proficiency. Instead, using familiar concepts from linear algebra, geometry and physics, you’ll write your own libraries, draw your own primitives, and build your own applications. Author Angel Sola covers core programming techniques mechanical engineers need to know, with a focus on high-quality code and automated unit testing for error-free implementations. After basic primers on Python and using the command line, you’ll quickly develop a geometry toolbox, filling it with lines and shapes for diagramming problems. As your understanding grows chapter-by-chapter, you’ll create vector graphics and animations for dynamic simulations; you’ll code algorithms that can do complex numerical computations; and you’ll put all of this knowledge together to build a complete structural analysis application that solves a 2D truss problem – similar to the software projects conducted by real-world mechanical engineers. You'll learn: • How to use geometric primitives, like points and polygons, and implement matrices • Best practices for clean code, including unit testing, encapsulation, and expressive names • Processes for drawing images to the screen and creating animations inside Tkinter’s Canvas widget • How to write programs that read from a file, parse the data, and produce vector images • Numerical methods for solving large systems of linear equations, like the Cholesky decomposition algorithm

Orbital Mechanics for Engineering Students

Howard D Curtis
Orbital Mechanics for Engineering Students Book PDF

Author : Howard D Curtis
Publisher : Elsevier
Page : 744 pages
File Size : 48,7 Mb
Release : 2009-10-26
Category : Technology & Engineering
ISBN : 9780080887845

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Orbital Mechanics for Engineering Students by Howard D Curtis Pdf

Orbital Mechanics for Engineering Students, Second Edition, provides an introduction to the basic concepts of space mechanics. These include vector kinematics in three dimensions; Newton’s laws of motion and gravitation; relative motion; the vector-based solution of the classical two-body problem; derivation of Kepler’s equations; orbits in three dimensions; preliminary orbit determination; and orbital maneuvers. The book also covers relative motion and the two-impulse rendezvous problem; interplanetary mission design using patched conics; rigid-body dynamics used to characterize the attitude of a space vehicle; satellite attitude dynamics; and the characteristics and design of multi-stage launch vehicles. Each chapter begins with an outline of key concepts and concludes with problems that are based on the material covered. This text is written for undergraduates who are studying orbital mechanics for the first time and have completed courses in physics, dynamics, and mathematics, including differential equations and applied linear algebra. Graduate students, researchers, and experienced practitioners will also find useful review materials in the book. NEW: Reorganized and improved discusions of coordinate systems, new discussion on perturbations and quarternions NEW: Increased coverage of attitude dynamics, including new Matlab algorithms and examples in chapter 10 New examples and homework problems

Machine Learning and Deep Learning Using Python and TensorFlow

Shailendra Kadre,Venkata Reddy Konasani
Machine Learning and Deep Learning Using Python and TensorFlow Book PDF

Author : Shailendra Kadre,Venkata Reddy Konasani
Publisher : McGraw Hill Professional
Page : 556 pages
File Size : 48,7 Mb
Release : 2021-04-29
Category : Technology & Engineering
ISBN : 9781260462302

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Machine Learning and Deep Learning Using Python and TensorFlow by Shailendra Kadre,Venkata Reddy Konasani Pdf

Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts Python programming and statistics fundamentals Regression and logistic regression Decision trees Model selection and cross-validation Cluster analysis Random forests and boosting Artificial neural networks TensorFlow and Keras Deep learning hyperparameters Convolutional neural networks Recurrent neural networks and long short-term memory

Real World Instrumentation with Python

John M. Hughes
Real World Instrumentation with Python Book PDF

Author : John M. Hughes
Publisher : "O'Reilly Media, Inc."
Page : 623 pages
File Size : 49,5 Mb
Release : 2010-11-15
Category : Computers
ISBN : 9781449396633

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Real World Instrumentation with Python by John M. Hughes Pdf

Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. Understand how to define the scope of an application and determine the algorithms necessary, and why it's important Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB Create low-level extension modules in C to interface Python with a variety of hardware and test instruments Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces Use open source software tools and libraries to reduce costs and avoid implementing functionality from scratch

Fundamentals of Astrodynamics

Roger R. Bate,Donald D. Mueller,Jerry E. White
Fundamentals of Astrodynamics Book PDF

Author : Roger R. Bate,Donald D. Mueller,Jerry E. White
Publisher : Courier Corporation
Page : 484 pages
File Size : 42,6 Mb
Release : 1971-01-01
Category : Technology & Engineering
ISBN : 0486600610

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Fundamentals of Astrodynamics by Roger R. Bate,Donald D. Mueller,Jerry E. White Pdf

Teaching text developed by U.S. Air Force Academy and designed as a first course emphasizes the universal variable formulation. Develops the basic two-body and n-body equations of motion; orbit determination; classical orbital elements, coordinate transformations; differential correction; more. Includes specialized applications to lunar and interplanetary flight, example problems, exercises. 1971 edition.

Practical Finite Element Analysis

Nitin S. Gokhale
Practical Finite Element Analysis Book PDF

Author : Nitin S. Gokhale
Publisher : FINITE TO INFINITE
Page : 27 pages
File Size : 42,6 Mb
Release : 2008
Category : Engineering
ISBN : 9788190619509

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Practical Finite Element Analysis by Nitin S. Gokhale Pdf

Highlights of the book: Discussion about all the fields of Computer Aided Engineering, Finite Element Analysis Sharing of worldwide experience by more than 10 working professionals Emphasis on Practical usuage and minimum mathematics Simple language, more than 1000 colour images International quality printing on specially imported paper Why this book has been written ... FEA is gaining popularity day by day & is a sought after dream career for mechanical engineers. Enthusiastic engineers and managers who want to refresh or update the knowledge on FEA are encountered with volume of published books. Often professionals realize that they are not in touch with theoretical concepts as being pre-requisite and find it too mathematical and Hi-Fi. Many a times these books just end up being decoration in their book shelves ... All the authors of this book are from IIT€™s & IISc and after joining the industry realized gap between university education and the practical FEA. Over the years they learned it via interaction with experts from international community, sharing experience with each other and hard route of trial & error method. The basic aim of this book is to share the knowledge & practices used in the industry with experienced and in particular beginners so as to reduce the learning curve & avoid reinvention of the cycle. Emphasis is on simple language, practical usage, minimum mathematics & no pre-requisites. All basic concepts of engineering are included as & where it is required. It is hoped that this book would be helpful to beginners, experienced users, managers, group leaders and as additional reading material for university courses.

Atmospheric and Space Flight Dynamics

Ashish Tewari
Atmospheric and Space Flight Dynamics Book PDF

Author : Ashish Tewari
Publisher : Springer Science & Business Media
Page : 556 pages
File Size : 55,8 Mb
Release : 2007-11-15
Category : Technology & Engineering
ISBN : 9780817644383

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Atmospheric and Space Flight Dynamics by Ashish Tewari Pdf

This book offers a unified presentation that does not discriminate between atmospheric and space flight. It demonstrates that the two disciplines have evolved from the same set of physical principles and introduces a broad range of critical concepts in an accessible, yet mathematically rigorous presentation. The book presents many MATLAB and Simulink-based numerical examples and real-world simulations. Replete with illustrations, end-of-chapter exercises, and selected solutions, the work is primarily useful as a textbook for advanced undergraduate and beginning graduate-level students.