Write comprehensive, professional-standard CMake projects and ensure the quality and simplicity of your solutions Purchase of the print or Kindle book includes a free eBook in the PDF format Key FeaturesUnderstand and automate compilation and linking with CMakeManage internal and external dependencies easilyAdd quality checks and tests as an inherent step for your buildsBook Description Creating top-notch software is an extremely difficult undertaking. Developers researching the subject have difficulty determining which advice is up to date and which approaches have already been replaced by easier, better practices. At the same time, most online resources offer limited explanation, while also lacking the proper context and structure. This book offers a simpler, more comprehensive, experience as it treats the subject of building C++ solutions holistically. Modern CMake for C++ is an end-to-end guide to the automatization of complex tasks, including building, testing, and packaging. You'll not only learn how to use the CMake language in CMake projects, but also discover what makes them maintainable, elegant, and clean. The book also focuses on the structure of source directories, building targets, and packages. As you progress, you'll learn how to compile and link executables and libraries, how those processes work, and how to optimize builds in CMake for the best results. You'll understand how to use external dependencies in your project – third-party libraries, testing frameworks, program analysis tools, and documentation generators. Finally, you'll get to grips with exporting, installing, and packaging for internal and external purposes. By the end of this book, you'll be able to use CMake confidently on a professional level. What you will learnUnderstand best practices for building C++ codeGain practical knowledge of the CMake language by focusing on the most useful aspectsUse cutting-edge tooling to guarantee code quality with the help of tests and static and dynamic analysisDiscover how to manage, discover, download, and link dependencies with CMakeBuild solutions that can be reused and maintained in the long termUnderstand how to optimize build artifacts and the build process itselfWho this book is for The book is for build engineers and software developers with knowledge of C/C++ programming who are looking to learn CMake to automate the process of building small and large software solutions. If you are someone who's just getting started with CMake, a long-time GNU Make user, or simply looking to brush up on the latest best practices, this book is for you.

A preliminary version o~ the programming language Pascal was dra~ted in 1968. It ~ollowed in its spirit the A1gol-6m and Algo1-W 1ine o~ 1anguages. A~ter an extensive deve10pment phase, a~irst compiler became operational in 197m, and pub1ication ~ollowed a year 1ater (see Re~erences 1 and 8, p.1m4). The growing interest in the deve10pment of compilers ~or other computers ca11ed ~or a conso1idation o~ Pascal, and two years of experience in the use o~ the 1anguage dictated a few revisions. This 1ed in 1973 to the pub1ication o~ a Revised Report and a de~inition o~ a 1anguage representation in terms of the ISO cha:.:.acter set. This booklet consists o~ two parts: The User Manual, and the Revised Report. The ManUAl is directed to those who have previous1y acquired some ~ami1iarity with computer programming, and who wish to get acquainted with the 1anguage Pascal. Hence, the style o~ the Manual is that o~ a tutorial, and many examp1e~ are inc1uded to demonstrate the various ~eatures o~ Pascal. Summarising tab1es and syntax speci~ications are added as Appendices. The Report is inc1uded in this booklet to serve as a concise, u1timate reference ~or both programmers and imp1ementors. It defines stAndArd Pascal which constitutes a common base between various implementations of the 1anguage.

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

Accompanying the book, as with all TELOS sponsored publications, is an electronic component. In this case it is a DOS-Diskette produced by one of the coauthors, Paul Wellin. This diskette consists of Mathematica notebooks and packages which contain the codes for all examples and exercises in the book, as well as additional materials intended to extend many ideas covered in the text. It is of great value to teachers, students, and others using this book to learn how to effectively program with Mathematica .

THE GREATEST ROMANCE NOVEL OF ALL TIME! A SPLENDID MUST-READ MASTERPIECE. Since its immediate success in 1813, Pride and Prejudice has remained one of the most popular novels in the English language. Jane Austen called this brilliant work "her own darling child" and its vivacious heroine, Elizabeth Bennet, "as delightful a creature as ever appeared in print." The romantic clash between the opinionated Elizabeth and her proud beau, Mr. Darcy, is a splendid performance of civilized sparring. And Jane Austen's radiant wit sparkles as her characters dance a delicate quadrille of flirtation and intrigue, making this book the most superb comedy of manners of Regency England. Among the writers who have approached nearest to the manner of the great master, we have no hesitation in placing Jane Austen. --Thomas Macaulay 'Pride and Prejudice' is the best novel in the language. --Anthony Trollope I used to think that men did everything better than women, but that was before I read Jane Austen. I don't think any man ever wrote better than Jane Austen. --Rex Stout Elizabeth Bennet has but to speak, and I am at her knees. --Robert Louis Stevenson Read again, and for the third time at least, Miss Austen's very finely written novel of 'Pride and Prejudice.' That young lady has a talent for describing the involvements and feelings and characters of ordinary life which is to me the most wonderful I ever met with. --Sir Walter Scott

A refreshing antidote to heavy theoretical tomes, this book is a concise, practical guide to modern compiler design and construction by an acknowledged master. Readers are taken step-by-step through each stage of compiler design, using the simple yet powerful method of recursive descent to create a compiler for Oberon-0, a subset of the author's Oberon language. A disk provided with the book gives full listings of the Oberon-0 compiler and associated tools. The hands-on, pragmatic approach makes the book equally attractive for project-oriented courses in compiler design and for software engineers wishing to develop their skills in system software.

A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided. Divided into two parts, the first highlights the traditional computation models used in the first studies on computability: - Automata and Turing Machines; - Recursive functions and the Lambda-Calculus; - Logic-based computation models. and the second part covers object-oriented and interaction-based models. There is also a chapter on concurrency, and a final chapter on emergent computation models inspired by quantum mechanics. At the end of each chapter there is a discussion on the use of computation models in the design of programming languages.

Joel, Apress, Blogs, and Blooks ...I was learning the hard way about how to be a publisher and probably spending way too much time looking at web sites and programming than I should have in response to that. Anyway, one day I came across this web site called , which was run by a guy with strong opinions and an unusual, clever writing style, along with a willingness to take on the conventional wisdom. In particular, he was writing this ongoing series about how bad most user interfaces were—mostly because programmers by and large knew, as Joel and I would say, using the same Yiddish–derived NYC vernacular that we both share, “bupkis” about what users really want. And I, like many, was hooked both by the series and the occasional random essay that Joel wrote. And then I had this epiphany: I'm a publisher, I like reading his stuff, why not turn it into a book?... Read the complete Foreword — Gary Cornell, Cofounder, Apress Since the release of the bestselling title Joel on Software in 2004, requests for a sequel have been relentless. So, we went back to the famed JoelonSoftware.com archives and pulled out a new batch of favorites, many of which have been downloaded over one million times. With Joel's newest book, More Joel on Software, you'll get an even better (not to mention updated) feast of Joel's opinions and impressions on software development, software design, running a software business, and so much more. This is a new selection of essays from the author's web site, http://www.joelonsoftware.com. Joel Spolsky started his weblog in March 2000 in order to offer hisinsights, based on years of experience, on how to improve the world of programming. This weblog has become infamous among the programming world, and is linked to more than 600 other web sites and translated into 30+ languages! Spolsky's extraordinary writing skills, technical knowledge, and caustic wit have made him a programming guru. With the success of Joel on Software, there has been a strong demand for additional gems and advice, and this book is the answer to those requests. Containing a collection of all–new articles from the original, More Joel on Software has even more of an edge than the original, and the tips for running a business or managing people have far broader application than the software industry. We feel it is safe to say that this is the most useful book you will buy this year.

Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

Object-Process Methodology (OPM) is a comprehensive novel approach to systems engineering. Integrating function, structure and behavior in a single, unifying model, OPM significantly extends the system modeling capabilities of current object-oriented methods. Founded on a precise generic ontology and combining graphics with natural language, OPM is applicable to virtually any domain of business, engineering and science. Relieved from technical issues, system architects can use OPM to engage in the creative design of complex systems. The book presents the theory and practice of OPM with examples from various industry segments and engineering disciplines, as well as daily life.