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| coding for mechanical engineers: Hardcore Programming for Mechanical Engineers Angel Sola Orbaiceta, 2021-06-22 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 |
| coding for mechanical engineers: Python for Mechanical and Aerospace Engineering Alex Kenan, 2021-01-01 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 |
| coding for mechanical engineers: Software Engineering at Google Titus Winters, Tom Manshreck, Hyrum Wright, 2020-02-28 Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions |
| coding for mechanical engineers: Introduction to Programming with C++ for Engineers Boguslaw Cyganek, 2021-02-08 A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language features Providing meaningful examples that facilitate understanding of the programming techniques and the C++ language constructions Fostering good programming practices which create better professional programmers Minimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory material Granting access to a complementary website that contains example code and useful links to resources that further improve the reader’s coding ability Including test and exam question for the reader’s review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++. |
| coding for mechanical engineers: Solving Mechanical Engineering Problems with MATALB Simin Nasseri, 2015 |
| coding for mechanical engineers: Materials and Mechanical Engineering Guo Long Ruan, 2014-02-19 Selected, peer reviewed papers from the International Workshop on Materials and Mechanical Engineering (WMME 2013), November 20-22, 2013, Xianning, China |
| coding for mechanical engineers: Computer Engineering for Babies Chase Roberts, 2021-10-20 An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED. |
| coding for mechanical engineers: The Internet of Mechanical Things Sami Salama Hussen Hajjaj, Kisheen Rao Gsangaya, 2022-02-22 This book provides knowledge, skills, and strategies an engineer requires to effectively integrate Internet of Things (IoT) into the field of mechanical engineering. Divided into three sections named IoT Strategies, IoT Foundation topics, and IoT system development, the volume covers introduction to IoT framework, its components, advantages, challenges, and practical process for effective implementation of IoT from mechanical engineering perspective. Further, it explains IoT systems and hands-on training modules, implementation, and execution of IoT Systems. Features: Presents exclusive material on application of IoT in mechanical engineering. Combines theory and practice including relevant terminologies and hands-on. Emphasis on use of IoT to streamline operations, reduce costs, and increased profits. Focusses on development and implementation of Raspberry Pi and Arduino based IoT systems. Illustrates use IoT data to improve performance of robots, machines, and systems. This book aims at Researchers, Graduate students in Mechanical Engineering, Computer Programming, Automobile, Robotics, and Industry 4.0/automation. |
| coding for mechanical engineers: Mechanism Analysis Lyndon O. Barton, 2016-04-19 This updated and enlarged Second Edition provides in-depth, progressive studies of kinematic mechanisms and offers novel, simplified methods of solving typical problems that arise in mechanisms synthesis and analysis - concentrating on the use of algebra and trigonometry and minimizing the need for calculus.;It continues to furnish complete coverag |
| coding for mechanical engineers: Computational Fluid Mechanics and Heat Transfer, Second Edition Richard H. Pletcher, John C. Tannehill, Dale Anderson, 1997-04-01 This comprehensive text provides basic fundamentals of computational theory and computational methods. The book is divided into two parts. The first part covers material fundamental to the understanding and application of finite-difference methods. The second part illustrates the use of such methods in solving different types of complex problems encountered in fluid mechanics and heat transfer. The book is replete with worked examples and problems provided at the end of each chapter. |
| coding for mechanical engineers: Elements of Programming Alexander Stepanov, Paul McJones, 2019-06-17 Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. |
| coding for mechanical engineers: Programming the Finite Element Method I. M. Smith, D. V. Griffiths, 2005-06-10 This title demonstrates how to develop computer programmes which solve specific engineering problems using the finite element method. It enables students, scientists and engineers to assemble their own computer programmes to produce numerical results to solve these problems. The first three editions of Programming the Finite Element Method established themselves as an authority in this area. This fully revised 4th edition includes completely rewritten programmes with a unique description and list of parallel versions of programmes in Fortran 90. The Fortran programmes and subroutines described in the text will be made available on the Internet via anonymous ftp, further adding to the value of this title. |
| coding for mechanical engineers: C Programming for Scientists and Engineers with Applications Rama Reddy, Carol Ziegler, 2009-08-17 C is a favored and widely used programming language, particularly within the fields of science and engineering. C Programming for Scientists and Engineers with Applications guides readers through the fundamental, as well as the advanced concepts, of the C programming language as it applies to solving engineering and scientific problems. Ideal for readers with no prior programming experience, this text provides numerous sample problems and their solutions in the areas of mechanical engineering, electrical engineering, heat transfer, fluid mechanics, physics, chemistry, and more. It begins with a chapter focused on the basic terminology relating to hardware, software, problem definition and solution. From there readers are quickly brought into the key elements of C and will be writing their own code upon completion of Chapter 2. Concepts are then gradually built upon using a strong, structured approach with syntax and semantics presented in an easy-to-understand sentence format. Readers will find C Programming for Scientists and Engineers with Applications to be an engaging, user-friendly introduction to this popular language. |
| coding for mechanical engineers: Programming for Computations - Python Svein Linge, Hans Petter Langtangen, 2016-07-25 This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification. |
| coding for mechanical engineers: MATLAB for Mechanical Engineers Rao V. Dukkipati, 2009 Presents an introduction to MATLAB basics along with MATLAB commands. This book includes computer aided design and analysis using MATLAB with the Symbolic Math Tool box and the Control System Tool box. It intends to improve the programming skills of students using MATLAB environment and to use it as a tool in solving problems in engineering. |
| coding for mechanical engineers: Aise MATLAB Programming for Engineers Stephen Chapman, 2014-05-20 |
| coding for mechanical engineers: Facts and Fallacies of Software Engineering Robert L. Glass, 2003 Regarding the controversial and thought-provoking assessments in this handbook, many software professionals might disagree with the authors, but all will embrace the debate. Glass identifies many of the key problems hampering success in this field. Each fact is supported by insightful discussion and detailed references. |
| coding for mechanical engineers: A Small Matter of Programming Bonnie A. Nardi, 1993 Analyzes cognitive, social and technical issues of end user programming. Drawing on empirical research on existing end user systems, this text examines the importance of task-specific programming languages, visual application frameworks and collaborative work practices for end user computing. |
| coding for mechanical engineers: Chemical Engineering Design Gavin Towler, Ray Sinnott, 2012-01-25 Chemical Engineering Design, Second Edition, deals with the application of chemical engineering principles to the design of chemical processes and equipment. Revised throughout, this edition has been specifically developed for the U.S. market. It provides the latest US codes and standards, including API, ASME and ISA design codes and ANSI standards. It contains new discussions of conceptual plant design, flowsheet development, and revamp design; extended coverage of capital cost estimation, process costing, and economics; and new chapters on equipment selection, reactor design, and solids handling processes. A rigorous pedagogy assists learning, with detailed worked examples, end of chapter exercises, plus supporting data, and Excel spreadsheet calculations, plus over 150 Patent References for downloading from the companion website. Extensive instructor resources, including 1170 lecture slides and a fully worked solutions manual are available to adopting instructors. This text is designed for chemical and biochemical engineering students (senior undergraduate year, plus appropriate for capstone design courses where taken, plus graduates) and lecturers/tutors, and professionals in industry (chemical process, biochemical, pharmaceutical, petrochemical sectors). New to this edition: - Revised organization into Part I: Process Design, and Part II: Plant Design. The broad themes of Part I are flowsheet development, economic analysis, safety and environmental impact and optimization. Part II contains chapters on equipment design and selection that can be used as supplements to a lecture course or as essential references for students or practicing engineers working on design projects. - New discussion of conceptual plant design, flowsheet development and revamp design - Significantly increased coverage of capital cost estimation, process costing and economics - New chapters on equipment selection, reactor design and solids handling processes - New sections on fermentation, adsorption, membrane separations, ion exchange and chromatography - Increased coverage of batch processing, food, pharmaceutical and biological processes - All equipment chapters in Part II revised and updated with current information - Updated throughout for latest US codes and standards, including API, ASME and ISA design codes and ANSI standards - Additional worked examples and homework problems - The most complete and up to date coverage of equipment selection - 108 realistic commercial design projects from diverse industries - A rigorous pedagogy assists learning, with detailed worked examples, end of chapter exercises, plus supporting data and Excel spreadsheet calculations plus over 150 Patent References, for downloading from the companion website - Extensive instructor resources: 1170 lecture slides plus fully worked solutions manual available to adopting instructors |
| coding for mechanical engineers: Developer Hegemony Erik Dietrich, It’s been said that software is eating the planet. The modern economy—the world itself—relies on technology. Demand for the people who can produce it far outweighs the supply. So why do developers occupy largely subordinate roles in the corporate structure? Developer Hegemony explores the past, present, and future of the corporation and what it means for developers. While it outlines problems with the modern corporate structure, it’s ultimately a play-by-play of how to leave the corporate carnival and control your own destiny. And it’s an emboldening, specific vision of what software development looks like in the world of developer hegemony—one where developers band together into partner firms of “efficiencers,” finally able to command the pay, respect, and freedom that’s earned by solving problems no one else can. Developers, if you grow tired of being treated like geeks who can only be trusted to take orders and churn out code, consider this your call to arms. Bring about the autonomous future that’s rightfully yours. It’s time for developer hegemony. |
| coding for mechanical engineers: Introduction to Microcontroller Programming for Power Electronics Control Applications Mattia Rossi, Nicola Toscani, Marco Mauri, Francesco Castelli Dezza, 2021-09-29 Microcontroller programming is not a trivial task. Indeed, it is necessary to set correctly the required peripherals by using programming languages like C/C++ or directly machine code. Nevertheless, MathWorks® developed a model-based workflow linked with an automatic code generation tool able to translate Simulink® schemes into executable files. This represents a rapid prototyping procedure, and it can be applied to many microcontroller boards available on the market. Among them, this introductory book focuses on the C2000 LaunchPadTM family from Texas InstrumentsTM to provide the reader basic programming strategies, implementation guidelines and hardware considerations for some power electronics-based control applications. Starting from simple examples such as turning on/off on-board LEDs, Analog-to-Digital conversion, waveform generation, or how a Pulse-Width-Modulation peripheral should be managed, the reader is guided through the settings of the specific MCU-related Simulink® blocks enabled for code translation. Then, the book proposes several control problems in terms of power management of RL and RLC loads (e.g., involving DC-DC converters) and closed-loop control of DC motors. The control schemes are investigated as well as the working principles of power converter topologies needed to drive the systems under investigation. Finally, a couple of exercises are proposed to check the reader’s understanding while presenting a processor-in-the loop (PIL) technique to either emulate the dynamics of complex systems or testing computational performance. Thus, this book is oriented to graduate students of electrical and automation and control engineering pursuing a curriculum in power electronics and drives, as well as to engineers and researchers who want to deepen their knowledge and acquire new competences in the design and implementations of control schemes aimed to the aforementioned application fields. Indeed, it is assumed that the reader is well acquainted with fundamentals of electrical machines and power electronics, as well as with continuous-time modeling strategies and linear control techniques. In addition, familiarity with sampled-data, discrete-time system analysis and embedded design topics is a plus. However, even if these competences are helpful, they are not essential, since this book provides some basic knowledge even to whom is approaching these topics for the first time. Key concepts are developed from scratch, including a brief review of control theory and modeling strategies for power electronic-based systems. |
| coding for mechanical engineers: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| coding for mechanical engineers: Programming the Boundary Element Method Gernot Beer, 2001-04-24 Providing an easy introduction to the boundary element method, this book is ideal for any reader wishing to work in this field or use this method for the solution of engineering problems. From the beginning, the emphasis is on the implementation of the method into computer programs which can be used to solve real problems. The book covers two-andthree-dimensional linear and non-linear analysis in potential flow (heat flow and seepage) and static elasticity. Several computer programs are listed in the book and may be downloaded free of charge via the Internet. They include programs and subroutines for: * 2-D analysis of potential problems using the Trefftz method * 2-D and 3-D linear analysis of potential and static elasticity problems using isoparametric elements (single and multiple regions) * implementation of non-linear problems * coupling to finite elements The programs (written in FORTRAN 90) are well documented, and can be employed by the user to gain experience with the method through the solution of small test examples. Furthermore, readers may use them as a starting point for developing their own boundary element package. In addition, exercises are included in most chapters involving the use of the programs with answers given in an Appendix, and a number of interesting industrial applications in the areas of mechanical, civil and geotechnical engineering are presented. |
| coding for mechanical engineers: Software Design for Flexibility Chris Hanson, Gerald Jay Sussman, 2021-03-09 Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators |
| coding for mechanical engineers: Algorithms, Part II Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| coding for mechanical engineers: Autotools John Calcote, 2010-07-15 The GNU Autotools make it easy for developers to create software that is portable across many Unix-like operating systems. Although the Autotools are used by thousands of open source software packages, they have a notoriously steep learning curve. And good luck to the beginner who wants to find anything beyond a basic reference work online. Autotools is the first book to offer programmers a tutorial-based guide to the GNU build system. Author John Calcote begins with an overview of high-level concepts and a quick hands-on tour of the philosophy and design of the Autotools. He then tackles more advanced details, like using the M4 macro processor with Autoconf, extending the framework provided by Automake, and building Java and C# sources. He concludes the book with detailed solutions to the most frequent problems encountered by first-time Autotools users. You'll learn how to: –Master the Autotools build system to maximize your software's portability –Generate Autoconf configuration scripts to simplify the compilation process –Produce portable makefiles with Automake –Build cross-platform software libraries with Libtool –Write your own Autoconf macros Autotools focuses on two projects: Jupiter, a simple Hello, world! program, and FLAIM, an existing, complex open source effort containing four separate but interdependent subprojects. Follow along as the author takes Jupiter's build system from a basic makefile to a full-fledged Autotools project, and then as he converts the FLAIM projects from complex hand-coded makefiles to the powerful and flexible GNU build system. |
| coding for mechanical engineers: Perl One-Liners Peteris Krumins, 2013-11-13 Part of the fun of programming in Perl lies in tackling tedious tasks with short, efficient, and reusable code. Often, the perfect tool is the one-liner, a small but powerful program that fits in one line of code and does one thing really well. In Perl One-Liners, author and impatient hacker Peteris Krumins takes you through more than 100 compelling one-liners that do all sorts of handy things, such as manipulate line spacing, tally column values in a table, and get a list of users on a system. This cookbook of useful, customizable, and fun scripts will even help hone your Perl coding skills, as Krumins dissects the code to give you a deeper understanding of the language. You'll find one-liners that: * Encode, decode, and convert strings * Generate random passwords * Calculate sums, factorials, and the mathematical constants π and e * Add or remove spaces * Number lines in a file * Print lines that match a specific pattern * Check to see if a number is prime with a regular expression * Convert IP address to decimal form * Replace one string with another And many more! Save time and sharpen your coding skills as you learn to conquer those pesky tasks in a few precisely placed keystrokes with Perl One-Liners. |
| coding for mechanical engineers: Numerical Python Robert Johansson, 2018-12-24 Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing. |
| coding for mechanical engineers: Practical Finite Element Analysis Nitin S. Gokhale, 2008 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. |
| coding for mechanical engineers: Applied Optimization with MATLAB Programming P. Venkataraman, 2009-03-23 Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization with MATLAB® Programming enables readers to harness all the features of MATLAB® to solve optimization problems using a variety of linear and nonlinear design optimization techniques. By breaking down complex mathematical concepts into simple ideas and offering plenty of easy-to-follow examples, this text is an ideal introduction to the field. Examples come from all engineering disciplines as well as science, economics, operations research, and mathematics, helping readers understand how to apply optimization techniques to solve actual problems. This Second Edition has been thoroughly revised, incorporating current optimization techniques as well as the improved MATLAB® tools. Two important new features of the text are: Introduction to the scan and zoom method, providing a simple, effective technique that works for unconstrained, constrained, and global optimization problems New chapter, Hybrid Mathematics: An Application, using examples to illustrate how optimization can develop analytical or explicit solutions to differential systems and data-fitting problems Each chapter ends with a set of problems that give readers an opportunity to put their new skills into practice. Almost all of the numerical techniques covered in the text are supported by MATLAB® code, which readers can download on the text's companion Web site www.wiley.com/go/venkat2e and use to begin solving problems on their own. This text is recommended for upper-level undergraduate and graduate students in all areas of engineering as well as other disciplines that use optimization techniques to solve design problems. |
| coding for mechanical engineers: Software for Industrial Automation United Nations. Economic Commission for Europe, 1987 |
| coding for mechanical engineers: Hardcore Programming for Mechanical Engineers Angel Sola Orbaiceta, 2021-06-25 Hardcore Programming for Mechanical Engineers is for intermediate programmers who want to write good applications that solve tough engineering problems – from scratch. What if you could solve challenging engineering problems with Python programming? With this book’s hardcore approach, you’ll learn how to code solutions from scratch using linear algebra, geometry, and physics to write custom libraries, draw primitives, and build applications. Ángel Sola Orbaiceta covers core programming techniques for mechanical engineers, with a focus on crafting high-quality code and leveraging automated unit testing for error-free implementations. You’ll develop a geometry toolbox, filling it with lines and shapes to diagram engineering problems; create vector graphics and animations for mechanical simulations; and code algorithms to perform complex calculations. As a capstone you’ll combine these lessons to build a complete structural analysis application to solve a 2D truss problem that you might encounter in the field. Learn how to: Use regular expressions to elegantly parse file input Refine your code with unit testing, encapsulation, and descriptive names Draw images onscreen and create animations with Tkinter’s Canvas widget Solve systems of linear equations using the Cholesky decomposition algorithm Build an application that visualizes a truss structure’s stresses and strains Stop relying on third-party software—there are no shortcuts on the path to proficiency. With Hardcore Programming for Mechanical Engineers, you’ll hone your programming skills to get correct results every time. |
| coding for mechanical engineers: Racket Programming the Fun Way James. W. Stelly, 2021-01-08 An introduction to the Racket functional programming language and DrRacket development environment to explore topics in mathematics (mostly recreational) and computer science. At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You'll learn a variety of coding paradigms, including iterative, object oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics--from statistical analysis to search algorithms, the Turing machine, and more. Early chapters cover basic Racket concepts like data types, syntax, variables, strings, and formatted output. You'll learn how to perform math in Racket's rich numerical environment, and use programming constructs in different problem domains (like coding solutions to the Tower of Hanoi puzzle). Later, you'll play with plotting, grapple with graphics, and visualize data. Then, you'll escape the confines of the command line to produce animations, interactive games, and a card trick program that'll dazzle your friends. You'll learn how to: Use DrRacket, an interactive development environment (IDE) for writing programs Compute classical math problems, like the Fibonacci sequence Generate two-dimensional function plots and create drawings using graphics primitives Import and export data to and from Racket using ports, then visually analyze it Build simple computing devices (pushdown automaton, Turing machine, and so on) that perform tasks Leverage Racket's built-in libraries to develop a command line algebraic calculator Racket Programming the Fun Way is just like the language itself--an embodiment of everything that makes programming interesting and worthwhile, and that makes you a better programmer. |
| coding for mechanical engineers: Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB Victor J. Law, 2013-03-05 While teaching the Numerical Methods for Engineers course over the last 15 years, the author found a need for a new textbook, one that was less elementary, provided applications and problems better suited for chemical engineers, and contained instruction in Visual Basic for Applications (VBA). This led to six years of developing teaching notes that |
| coding for mechanical engineers: Learn to Program Chris Pine, 2021-06-17 It's easier to learn how to program a computer than it has ever been before. Now everyone can learn to write programs for themselves - no previous experience is necessary. Chris Pine takes a thorough, but lighthearted approach that teaches you the fundamentals of computer programming, with a minimum of fuss or bother. Whether you are interested in a new hobby or a new career, this book is your doorway into the world of programming. Computers are everywhere, and being able to program them is more important than it has ever been. But since most books on programming are written for other programmers, it can be hard to break in. At least it used to be. Chris Pine will teach you how to program. You'll learn to use your computer better, to get it to do what you want it to do. Starting with small, simple one-line programs to calculate your age in seconds, you'll see how to write interactive programs, to use APIs to fetch live data from the internet, to rename your photos from your digital camera, and more. You'll learn the same technology used to drive modern dynamic websites and large, professional applications. Whether you are looking for a fun new hobby or are interested in entering the tech world as a professional, this book gives you a solid foundation in programming. Chris teaches the basics, but also shows you how to think like a programmer. You'll learn through tons of examples, and through programming challenges throughout the book. When you finish, you'll know how and where to learn more - you'll be on your way. What You Need: All you need to learn how to program is a computer (Windows, macOS, or Linux) and an internet connection. Chris Pine will lead you through setting set up with the software you will need to start writing programs of your own. |
| coding for mechanical engineers: Matlab for Engineers Holly Moore, 2011-07-28 This is a value pack of MATLAB for Engineers: International Versionand MATLAB & Simulink Student Version 2011a |
| coding for mechanical engineers: Across the Airless Wilds Earl Swift, 2021-07-06 THRILLING. ... Up-end[s] the Apollo narrative entirely. —The Times (London) A brilliantly observed (Newsweek) and endlessly fascinating (WSJ) rediscovery of the final Apollo moon landings, revealing why these extraordinary yet overshadowed missions—distinguished by the use of the revolutionary lunar roving vehicle—deserve to be celebrated as the pinnacle of human adventure and exploration. One of The Wall Street Journal's 10 Best Books of the Month 8:36 P.M. EST, December 12, 1972: Apollo 17 astronauts Gene Cernan and Jack Schmitt braked to a stop alongside Nansen Crater, keenly aware that they were far, far from home. They had flown nearly a quarter-million miles to the man in the moon’s left eye, landed at its edge, and then driven five miles in to this desolate, boulder-strewn landscape. As they gathered samples, they strode at the outermost edge of mankind’s travels. This place, this moment, marked the extreme of exploration for a species born to wander. A few feet away sat the machine that made the achievement possible: an electric go-cart that folded like a business letter, weighed less than eighty pounds in the moon’s reduced gravity, and muscled its way up mountains, around craters, and over undulating plains on America’s last three ventures to the lunar surface. In the decades since, the exploits of the astronauts on those final expeditions have dimmed in the shadow cast by the first moon landing. But Apollo 11 was but a prelude to what came later: while Neil Armstrong and Buzz Aldrin trod a sliver of flat lunar desert smaller than a football field, Apollos 15, 16, and 17 each commanded a mountainous area the size of Manhattan. All told, their crews traveled fifty-six miles, and brought deep science and a far more swashbuckling style of exploration to the moon. And they triumphed for one very American reason: they drove. In this fast-moving history of the rover and the adventures it ignited, Earl Swift puts the reader alongside the men who dreamed of driving on the moon and designed and built the vehicle, troubleshot its flaws, and drove it on the moon’s surface. Finally shining a deserved spotlight on these overlooked characters and the missions they created, Across the Airless Wilds is a celebration of human genius, perseverance, and daring. |
| coding for mechanical engineers: Staff Engineer Will Larson, 2021-02-28 At most technology companies, you'll reach Senior Software Engineer, the career level for software engineers, in five to eight years. At that career level, you'll no longer be required to work towards the next pro? motion, and being promoted beyond it is exceptional rather than ex? pected. At that point your career path will branch, and you have to decide between remaining at your current level, continuing down the path of technical excellence to become a Staff Engineer, or switching into engineering management. Of course, the specific titles vary by company, and you can replace Senior Engineer and Staff Engineer with whatever titles your company prefers.Over the past few years we've seen a flurry of books unlocking the en? gineering management career path, like Camille Fournier's The Man? ager's Path, Julie Zhuo's The Making of a Manager, Lara Hogan's Re? silient Management and my own, An Elegant Puzzle. The manage? ment career isn't an easy one, but increasingly there are maps avail? able for navigating it.On the other hand, the transition into Staff Engineer, and its further evolutions like Principal and Distinguished Engineer, remains chal? lenging and undocumented. What are the skills you need to develop to reach Staff Engineer? Are technical abilities alone sufficient to reach and succeed in that role? How do most folks reach this role? What is your manager's role in helping you along the way? Will you enjoy being a Staff Engineer or you will toil for years to achieve a role that doesn't suit you?Staff Engineer: Leadership beyond the management track is a pragmatic look at attaining and operate in these Staff-plus roles. |
| coding for mechanical engineers: C++17 - The Complete Guide Nicolai M Josuttis, 2019-09-06 All the new language and library features of C++17 (for those who know the previous versions of C++). C++17 is the next evolution in modern C++ programming, which is already now supported by the latest version of gcc, clang, and Visual C++. Although it is not as big a step as C++11, it contains a large number of small and valuable language and library features, which will change the way we program in C++. As usual, not everything is self-explanatory, combining new features gives even more power, and there are hidden traps. This book presents all the new language and library features of C++17. It covers the motivation and context of each new feature with examples and background information. The focus is on how these features impact day-to-day programming, what it means to combine them, and how to benefit from this in practice. |
| coding for mechanical engineers: An Introduction to MATLAB® Programming and Numerical Methods for Engineers Timmy Siauw, Alexandre Bayen, 2014-04-05 Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB® Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB® programming environment. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level allowing you to quickly apply results in practical settings. - Tips, warnings, and try this features within each chapter help the reader develop good programming practices - Chapter summaries, key terms, and functions and operators lists at the end of each chapter allow for quick access to important information - At least three different types of end of chapter exercises — thinking, writing, and coding — let you assess your understanding and practice what you've learned |
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Computer science and artificial intelligence curriculum for K-12 ...
Code.org provides free computer science and AI curriculum, plus professional development to support any teacher—no coding experience needed!
Computer Science for Students | Learn, Explore, and Create with …
Start with an Hour of Code, then explore self-paced coding courses on apps, games, and animations. Try App Lab, Game Lab, or Web Lab—and learn about AI, real-world careers, and …
Code.org for Parents | At-Home Computer Science Resources
Learn the fundamentals of computer science with free Hour of Code activities, featuring basic drag-and-drop coding blocks. There are tons of fun, hour-long options to choose from!
Hour of Code | Code.org
This movement helps to highlight how coding is behind everything from your favorite shoes to the music you listen to. By jumping into fun activities and starting your own projects, you can learn …
Unit: Course 2 - Code.org
Anyone can learn computer science. Make games, apps and art with code.
Minecraft | Code.org
Find the missing star, unlock hidden gags, and interact with a cast of mobs. Help the Agent overcome stage fright as you solve fun coding puzzles. Watch your coding skills shine in an epic …
Web Lab | Build Websites with HTML & CSS - Code.org
Web Lab lets students create and publish real websites using HTML and CSS. A hands-on way to learn web design and coding in middle and high school.
Online Computer Science Courses for Students | Code.org
Discover free and paid online courses that help students build CS skills, explore coding, and learn at their own pace with flexible learning options.
Code.org
Want to try coding without signing in? Dance Party Code a Dance Party to share with friends and family. Featuring Beyoncé, Harry Styles, Lizzo, Lil Nas X, Selena Gomez, music from Disney's …
Explore activities - Code.org
Code Club World: Make cool stuff with free coding games and activities
