Python for Mechanical and Aerospace Engineering

Python for Mechanical and Aerospace Engineering

PDF Python for Mechanical and Aerospace Engineering Download

  • Author: Alex Kenan
  • Publisher: Alex Kenan
  • ISBN: 1736060600
  • Category : Computers
  • Languages : en
  • Pages : 210

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

Python for Mechanical and Aerospace Engineering

PDF Python for Mechanical and Aerospace Engineering Download

  • Author: Alexander Kenan
  • Publisher:
  • ISBN: 9781736060629
  • Category :
  • Languages : en
  • Pages :

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

Python for Mechanical and Aerospace Engineering

PDF Python for Mechanical and Aerospace Engineering Download

  • Author: Alexander Kenan
  • Publisher:
  • ISBN: 9781736060636
  • Category :
  • Languages : en
  • Pages :

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

Computational Nuclear Engineering and Radiological Science Using Python

PDF Computational Nuclear Engineering and Radiological Science Using Python Download

  • Author: Ryan McClarren
  • Publisher: Academic Press
  • ISBN: 0128123710
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 462

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

Machine Learning for Engineers

PDF Machine Learning for Engineers Download

  • Author: Ryan G. McClarren
  • Publisher: Springer Nature
  • ISBN: 3030703886
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 252

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

Finite Element Methods in Civil and Mechanical Engineering

PDF Finite Element Methods in Civil and Mechanical Engineering Download

  • Author: Arzhang Angoshtari
  • Publisher: CRC Press
  • ISBN: 0429809271
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 182

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.


Machine Learning and Deep Learning Using Python and TensorFlow

Machine Learning and Deep Learning Using Python and TensorFlow

PDF Machine Learning and Deep Learning Using Python and TensorFlow Download

  • Author: Venkata Reddy Konasani
  • Publisher: McGraw Hill Professional
  • ISBN: 1260462307
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 556

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


Orbital Mechanics for Engineering Students

Orbital Mechanics for Engineering Students

PDF Orbital Mechanics for Engineering Students Download

  • Author: Howard D. Curtis
  • Publisher: Elsevier
  • ISBN: 0080887848
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 740

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


Fundamentals of Aerospace Engineering

Fundamentals of Aerospace Engineering

PDF Fundamentals of Aerospace Engineering Download

  • Author: Manuel Soler
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781493727759
  • Category : Aerospace engineering
  • Languages : en
  • Pages : 0

This "is a textbook that provides an introductory, thorough overview of aeronautical engineering, and it is aimed at serving as reference for an undergraduate course on aerospace engineering. The book is divided into three parts, namely: Introduction (The Scope, Generalities), The Aircraft (Aerodynamics, matericals and Structures, Propulsion, Instruments and Systems, Flight Mechanics), and Air Transporation, Airports, and Air Navigation."--


Programming the Raspberry Pi: Getting Started with Python

Programming the Raspberry Pi: Getting Started with Python

PDF Programming the Raspberry Pi: Getting Started with Python Download

  • Author: Simon Monk
  • Publisher: McGraw Hill Professional
  • ISBN: 0071807845
  • Category : Computers
  • Languages : en
  • Pages : 193

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