Written in an informal yet informative style, Programming Language Fundamentals by Example uses active learning techniques, giving students a professional learning experience based on professional methods applied with professional standards. It provides an understanding of the many languages and notations used in computer science, the formal models used to design phases, and the foundations of languages including linguistics and logic. To give students a thorough, working knowledge of programming languages, this textbook uses a semester-long project in which students create a programming language. This project brings to life the concepts and theories fundamental to computer languages. The author incorporates "thinking tools" such as concept maps, matrices for analysis, and flowcharts. Designed for fourth year undergraduates and first year graduates with enough exposure to programming to absorb the technical foundations of languages, this textbook offers a unique approach to understanding how programming languages are created and function.

This book explains how to use the symbolic differentiation system D* for applications in computer games and engineering simulation. The authors describe how to create procedural 3D geometric models, link them together to form multibody physical systems, and simulate and display their physical behavior in real time. The symbolic differentiation capabilities of D* can be used in a wide variety of technical applications, including computer graphics, engineering, and mechanical simulation. Two Lagrangian physics simulation and procedural 3D geometric modeling are developed in great detail.

"The NCL Natural Constraint Language"" "presents the NCL language which is a description language in conventional mathematical logic for modeling and solving constraint satisfaction problems. NCL differs from other declarative languages: It models problems naturally in a simplified form of first-order logic with quantifiers, Boolean logic, numeric constraints, set operations and logical functions; it solves problems by mixed set programming over the mixed domain of real numbers, integers, Booleans, dates/times, references, and in particular sets. The book uses plenty of examples and tutorials to illustrate NCL and its applications. It is intended for researchers and developers in the fields of logic programming, constraint programming, optimization, modeling, operations research and artificial intelligence, who will learn from a new programming language and theoretical foundations for industrial applications.

Dr. Jianyang Zhou is the inventor of NCL and has worked for its industrialization for more than 10 years.

C++ is capable of tackling a whole range of programming tasks. The purpose of this book is to give breadth and depth to C++ programmers’ existing experience of the language by representing a large number of algorithms, most of them implemented as ready-to-run (and standalone) programs. The programs are as readable as possible without sacrificing too great a degree of efficiency, generality, portability and robustness. Both the classes and programs are designed to demonstrate major programming principles. There is coverage of two key language features - templates and exception handling - apart from which the reader is assumed to have working knowledge of C++. Besides traditional subjects, such as quicksort and binary trees, this book also covers some less well-known topics, including multi-precision arithmetic, route planning and external sorting. Demonstration programs for these and many other exciting applications are based on C++ classes which you can also use in programs of your own.

Whether you are new to Visual Basic or you are upgrading to VB 2008 from an earlier version, this new edition of Murach's core VB book shows you how to develop the kind of bullet-proof Windows Forms applications that businesses rely on. Along the way, you will learn how to build database applications faster than ever by using RAD features like data sources and the DataGridView control. You will learn how to use object-oriented features like inheritance and interfaces as well as features like code snippets, generics, partial classes, and ClickOnce deployment. And you will learn how to use the 2008 LINQ feature to query data. When you are finished, you will be able to develop Windows Forms applications the way the best professionals develop them. That's why we say: No other book teaches you so much, so fast, or so thoroughly.

Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

Residents of a mining camp in California have named their community 'Body" after William Body, a smithy who deserted his family in New York, moved to California, located a mine, and perished in a blizzard. But citizens are tired of jokey references to the spelling of the name, and elders in the camp decide to change the town's name to 'Bodie."

To mark the occasion, they recover Body's remains and schedule a funeral and town rechristening on the Fourth of July. News of the grand event makes its way to New York and sets off a battle in Daniel Owen's household, a battle which becomes intense when Billie Owen discovers she's the sole offspring of William Body.

A plucky gal with Dime-novel credentials, Billie rebels and heads west to honor her true father. Upon arriving in camp, Billie learns her father died from a radial fracture to the head. Within days, Billie's friend Rusty winds up at the end of a rope. Suddenly, there are killers on the loose and vigilantes in the streets. Can Billie discover the truth behind the deaths of her father and her friend in time?

Advance Praise for Partnering with Microsoft: 'Partnering with Microsoft is the first great book about the breathtaking culture, opportunity and roadmap for joining Microsoft's 850,000 partners cutting an impressive B swath in the marketpl

The huge proliferation of security vulnerability exploits, worms, and viruses place an incredible drain on both cost and confidence for manufacturers and consumers. The release of trustworthy code requires a specific set of skills and techniques, but this information is often dispersed and decentralized, encrypted in its own jargon and terminology, and can take a colossal amount of time and data mining to find. Written in simple, common terms, Testing Code Security is a consolidated resource designed to teach beginning and intermediate testers the software security concepts needed to conduct relevant and effective tests. Answering the questions pertinent to all testing procedures, the book considers the differences in process between security testing and functional testing, the creation of a security test plan, the benefits and pitfalls of threat-modeling, and the identification of root vulnerability problems and how to test for them. The book begins with coverage of foundation concepts, the process of security test planning, and the test pass. Offering real life examples, it presents various vulnerabilities and attacks and explains the testing techniques appropriate for each. It concludes with a collection of background overviews on related topics to fill common knowledge gaps. Filled with cases illustrating the most common classes of security vulnerabilities, the book is written for all testers working in any environment, and it gives extra insight to threats particular to Microsoft Windows (R) platforms. Providing a practical guide on how to carry out the task of security software testing, Testing Code Security gives the reader the knowledge needed to begin testing software security for any project and become an integral part in the drive to produce better software security and safety.

Consistent, high-quality coding standards improve software quality, reduce time-to-market, promote teamwork, eliminate time wasted on inconsequential matters, and simplify maintenance. Now, two of the world's most respected C++ experts distill the rich collective experience of the global C++ community into a set of coding standards that every developer and development team can understand and use as a basis for their own coding standards.

The authors cover virtually every facet of C++ programming: design and coding style, functions, operators, class design, inheritance, construction/destruction, copying, assignment, namespaces, modules, templates, genericity, exceptions, STL containers and algorithms, and more. Each standard is described concisely, with practical examples. From type definition to error handling, this book presents C++ best practices, including some that have only recently been identified and standardized-techniques you may not know even if you've used C++ for years. Along the way, you'll find answers to questions like What's worth standardizing--and what isn't? What are the best ways to code for scalability?What are the elements of a rational error handling policy? How (and why) do you avoid unnecessary initialization, cyclic, and definitional dependencies?When (and how) should you use static and dynamic polymorphism together?How do you practice "safe" overriding?When should you provide a no-fail swap? Why and how should you prevent exceptions from propagating across module boundaries?Why shouldn't you write namespace declarations or directives in a header file?Why should you use STL vector and string instead of arrays?How do you choose the right STL search or sortalgorithm?What rules should you follow to ensure type-safe code?

Whether you're working alone or with others, "C++ Coding Standards" will help you write cleaner code--and write it faster, with fewer hassles and less frustration.

Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. Except in the preliminary section, all chapters include the C functions of the algorithms, along with drivers that contain numerous test case examples and results. The accompanying CD-ROM also provides the algorithms written in C code as well as the test drivers. To use the software, it is not required to understand the theory behind each function.

The popularity of serial communications demands that additional serial port interfaces be developed to meet the expanding requirements of users. The Windows Serial Port Programming Handbook illustrates the principles and methods of developing various serial port interfaces using multiple languages. This comprehensive, hands-on, and practical guide to serial interface programming enables you to develop sophisticated interfaces and apply them in real-world applications. Each chapter addresses a language and how it can be applied in the development of serial port interfaces. The seven languages discussed are: ANSI C Visual C++ Visual Basic LabVIEW MATLAB Smalltalk Java Step by step and line by line, the Handbook clearly explains the interfacing techniques used for each different language in the serial port communication. Examples from actual systems have been compiled and debugged, with detailed source code for each included on an accompanying CD-ROM.

MATLAB Blues is an accessible, comprehensive introduction to the MATLAB computer programming language-a powerful and increasingly popular tool for students and researchers. Rosenbaum identifies many of the common mistakes and pitfalls associated with using MATLAB, and shows users how they can learn from these mistakes to be better, happier programmers. Each chapter systematically addresses one of the basic principles of the programming language, like matrices, calculations, contingencies, plotting, input-output, and graphics, and then identifies areas that are problematic, as well as potential errors that can occur. This not only provides the reader with the fundamental "scales and chords" that a MATLAB programmer needs to know, but also with a series of examples and explanations of how to avoid and remedy common mistakes. Accompanied by an array of sample code that can be used and manipulated in conjunction with the textbook, this book is a practical, insightful introduction to MATLAB which provides motivation and encouragement to those with little or no background in programming as well as to those with more advanced concerns. It is an invaluable resource for researchers and students undertaking courses in research methods, statistics, and programming.

Learning to program isn't just learning the details of a programming language: to become a good programmer you have to become expert at debugging, testing, writing clear code and generally unsticking yourself when you get stuck, while to do well in a programming course you have to learn to score highly in coursework and exams. Featuring tips, stories and explanations of key terms, this book teaches these skills explicitly. Examples in Python, Java and Haskell are included, helping you to gain transferable programming skills whichever language you are learning. Intended for students in Higher or Further Education studying early programming courses, it will help you succeed in, and get the most out of, your course, and support you in developing the software engineering habits that lead to good programs.

Powerful, flexible, easy to use-small wonder that the use of MAPLE® continues to increase, particularly since the latest releases of MAPLE. The built-in nature of its numerical and graphical facilities gives MAPLE a distinct advantage over traditional programming languages, yet to date, no textbook has used that advantage to introduce programming concepts. Moreover, few books based on MAPLE's latest versions even exist.

Computing with MAPLE presents general programming principles using MAPLE as a concrete example of a programming language. The author first addresses the basic MAPLE functions accessible for interactive use then moves to actual programming, discussing all of the programming facilities that MAPLE provides, including control structures, data types, graphics, spreadsheets, text processing, and object oriented programming. Reflecting MAPLE's primary function as a computational tool, the book's emphasis is on mathematical examples, and it includes a full chapter devoted to algebraic programming.

Classroom tested since 1995, the material in Computing with MAPLE is particularly appropriate for an intermediate-level introductory course in programming for both mathematics and computing students. It includes numerous exercises and test questions, with MAPLE worksheets, contact information, and supplementary material available on the Internet.

For courses in Java Programming. Introducing the fundamental concepts of programming with JavaScript A brand new textbook by Eric Roberts, Understanding Programming through JavaScript focuses on the fundamental concepts of programming, and is written for students with no prior knowledge or experience. It draws on a rich pedagogical heritage-including the immersive Karel the Robot microworld, time-testing programming guidelines, and a logical, step-by-step organization-to give them the foundational skills needed to pursue other coding languages, or a career in computer programming. Using the text, students will build their skills and develop live, interactive web applications that really work on web browsers, providing both instant feedback and gratification. This new text includes chapter openers that humanize computing, review questions for student self-testing, and many other valuable features.

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Universite Cote d'Azur, Nice, France Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist." Professor Charles Bouveyron INRIA Chair in Data Science Universite Cote d'Azur, Nice, France

Learn the essentials of working with Flutter and Dart to build full stack applications that meet the needs of a cloud-driven world. Together, the Flutter open source UI software development kit and the Dart programming language for client development provide a unified solution to building applications capable of targeting multiple platforms. Recipes in this cookbook show you how this potent combination provides an efficient approach to application development. Typically used in frontend development, Flutter helps you develop cross-platform applications for Android, iOS, Linux, Mac, Windows, and the Google Fuchsia operating system. The Dart SDK provides native access to third-party solutions, including APIs, databases, and authentication. When used in concert with Flutter, Dart allows you to compile source code ahead of time to native code. This cookbook shows you how to: Write effective Dart code by using variables and data structures Build applications with Flutter by exploring widgets and data handling Understand cloud provider solutions and learn how to integrate them with Flutter Manage data through APIs using Google Cloud Serverless Work with Firebase solutions such as Authentication and the Cloud Firestore database Build web applications that also work with mobile and desktop platforms

Expanded to include a broader range of problems than the bestselling first edition, Finite Element Method Using MATLAB: Second Edition presents finite element approximation concepts, formulation, and programming in a format that effectively streamlines the learning process. It is written from a general engineering and mathematical perspective rather than that of a solid/structural mechanics basis.

What's new in the Second Edition?

Each chapter in the Second Edition now includes an overview that outlines the contents and purpose of each chapter. The author has also added a new chapter of special topics in applications, including cracks, semi-infinite and infinite domains, buckling, and thermal stress. He discusses three different linearization techniques to solve nonlinear differential equations. Also included are new sections on shell formulations and MATLAB programs. These enhancements increase the book's already significant value both as a self-study text and a reference for practicing engineers and scientists.

This book can be used as an experiment and reference book for algorithm design courses, as well as a training manual for programming contests. It contains 247 problems selected from ACM-ICPC programming contests and other programming contests. There's detailed analysis for each problem. All problems, and test datum for most of problems will be provided online. The content will follow usual algorithms syllabus, and problem-solving strategies will be introduced in analyses and solutions to problem cases. For students in computer-related majors, contestants and programmers, this book can polish their programming and problem-solving skills with familarity of algorithms and mathematics.

Anyone Can Code: The Art and Science of Logical Creativity introduces computer programming as a way of problem-solving through logical thinking. It uses the notion of modularization as a central lens through which we can make sense of many software concepts. This book takes the reader through fundamental concepts in programming by illustrating them in three different and distinct languages: C/C++, Python, and Javascript. Key features: Focuses on problem-solving and algorithmic thinking instead of programming functions, syntax, and libraries; Includes engaging examples, including video games and visual effects; Provides exercises and reflective questions. This book gives beginner and intermediate learners a strong understanding of what they are doing so that they can do it better and with any other tool or language that they may end up using later.

This book is a vital tool for Web site developers and administrators who need to understand the law, the requirements of the disabled, and the processes of site evaluation and implementation. It includes an authoritative compendium of development tools and utilities and is packed with examples demonstrating techniques for adjusting HTML tags, scripts, and other code to improve accessibility. This is a critical resource in helping companies comply with the "effective communication" requirement of the Americans with Disabilities Act.

This book represents the proceedings of the 9th SDL Forum which was held in Montreal, Quebec, Canada, during the week of June 21-25, 1999. The 9th SDL Forum presents papers on the past and future development of the MSC and SDL languages.The volume presents information on experience with the use of these languages in industrial development projects, on tools and techniques for using these languages in the software and hardware development process, and other aspects of these languages.

Build complex embedded systems faster and with lower costs by: Knowing when and how much simulation testing is appropriate Applying engineering methods to simulation design and development Using the best tools available to develop simulations. Va