Improve your programming through a solid understanding of C pointers and memory management. With this practical book, you'll learn how pointers provide the mechanism to dynamically manipulate memory, enhance support for data structures, and enable access to hardware. Author Richard Reese shows you how to use pointers with arrays, strings, structures, and functions, using memory models throughout the book. Difficult to master, pointers provide C with much flexibility and power - yet few resources are dedicated to this data type. This comprehensive book has the information you need, whether you're a beginner or an experienced C or C++ programmer or developer.Get an introduction to pointers, including the declaration of different pointer types Learn about dynamic memory allocation, de-allocation, and alternative memory management techniques Use techniques for passing or returning data to and from functions Understand the fundamental aspects of arrays as they relate to pointers Explore the basics of strings and how pointers are used to support them Examine why pointers can be the source of security problems, such as buffer overflow Learn several pointer techniques, such as the use of opaque pointers, bounded pointers and, the restrict keyword

Written as an illustrated, step-by-step guide, this book will introduce you to Python with examples using the latest version of the language. You'll begin by learning to set up your Python environment. The next few chapters cover the basics of Python such as language classifications, Python language syntax, and how to write a program. Next, you will learn how to work with variables, basic data types, arithmetic, companion, and Boolean operators, followed by lab exercises. Further, the book covers flow control, using functions, and exception handling, as well as the principles of object-oriented programming and building an interface design. The last section explains how to develop a game by installing PyGame and how to use basic animation, and concludes with coverage of Python web development with web servers and Python web frameworks. The Absolute Beginners Guide to Python Programming will give you the tools, confidence, and inspiration to start writing Python programs. If you are a programmer, developer, or a student, or someone who wants to learn on their own, this book is for you. What You Will Learn Gain an understanding of computer programming Understand different data and data types Work with Classes and OOP Build interfaces, simple games, and web development with Python Who This Book Is ForSoftware programmers, developers or students, or anyone who wants to learn Python programming on their own.

If you need to parse or process text data in Linux or Unix, this classic book explains how to use flex and bison to solve your problems quickly - whether you're interpreting code, configuration files, or any other structured format. "Flex and Bison" is the long-awaited sequel to the classic O'Reilly book, "Lex and Yacc". In the nearly two decades since that book was published, the "Flex and Bison" utilities have proven to be more reliable and more powerful than the original Unix tools. This book covers the same core functionality vital to Linux and Unix program development, along with several important new topics. This thoroughly updated edition will help you: address syntax crunching that regular expressions tools can't handle; build compilers and interpreters, and handle a wide range of text processing functions; learn key programming techniques, including syntax trees and symbol tables; implement a full SQL grammar, with complete sample code; and, use new features such as pure (reentrant) lexers and parsers, powerful GLR parsers, and interfaces to C++. This book includes revised tutorial sections for novice users and reference sections for advanced users, with chapters that explain each utility's basic usage and simple, stand-alone applications. Dive into "Flex and Bison" and discover the wide range of uses these flexible tools provide.

Elm is more than just a cutting-edge programming language, it's a chance to upgrade the way you think about building web applications. Once you get comfortable with Elm's refreshingly different approach to application development, you'll be working with a clean syntax, dependable libraries, and a delightful compiler that essentially eliminates runtime exceptions. Elm compiles to JavaScript, so your code runs in any browser, and Elm's best-in-class rendering speed will knock your socks off. Let's get started! Elm in Action teaches you how to build well-designed, highly performant web applications using the Elm language. As you read, you'll follow an application called Photo Groove that will show you how to structure your application's domain and behaviour, how to maintain a pleasantly modular architecture, and how to deliver a quality product using the Elm language. Along the way, you'll learn how to interact smoothly with browser functionality, servers, and JavaScript libraries, as well and picking up a few tricks for building fluid, intuitive user experiences. If you're new to functional programming, you'll also gain a practical understanding of techniques that will make you a better developer no matter what you're writing! Written for readers comfortable with web application development in JavaScript. No experience with Elm or functional programming required. Key Features Getting started with the Elm language Scalable design for production web applications Single-page applications in Elm Testing your applications Richard Feldman is a programmer and entrepreneur who loves to push the limits of browser-based programming. He's a front-end engineer at NoRedInk and a well-known member of the Elm community

This "New York Times" bestseller is an exciting and fearless investigation of language
Bestselling author Steven Pinker possesses that rare combination of scientific aptitude and verbal eloquence that enables him to provide lucid explanations of deep and powerful ideas. His previous books?including the Pulitzer Prize finalist "The Blank Slate"?have catapulted him into the limelight as one of today's most important popular science writers. In "The Stuff of Thought," Pinker presents a fascinating look at how our words explain our nature. Considering scientific questions with examples from everyday life, "The Stuff of Thought" is a brilliantly crafted and highly readable work that will appeal to fans of everything from "The Selfish Gene" and "Blink" to "Eats, Shoots & Leaves."

How do you select the right programming language for the right job? Austin and Chancogne provide students with a collection of four tutorials that cover concepts in modern engineering computations, and engineering programming in Ansi C, Matlab Version 5, and Java 1.1. The text gives practical guidance on selecting the best programming language for a project through a large number of working examples. With the help of these examples, students will learn how to design, write, and execute engineering programs using these programming languages. By incorporating Ansi C, Matlab, and Java into one text, students will quickly learn the strengths and weaknesses of each language. They'll do this with the help of the 56 case study programs and 115 programming exercises integrated throughout the book. A small suite of basic engineering problems is also implemented in each of the three programming languages. The four tutorials featured in the book include:
* Modern Engineering Computations - covers hardware components in a simple computer, operating systems, networks (including the Internet and World Wide Web), and an overview of programming languages.
* C Tutorial - teaches students how to write multi-function C programs. Topics include basic data types, operators and expressions, program control, functions, dynamic memory allocation, and input/output.
* Matlab - shows students how to solve simple matrix programs with simple graphics. This tutorial also demonstrates how MATLAB programs can be much shorter than equivalent implementations in C or Java.
* Java - explains how Java got started, about object-oriented program design, and how to write Java programs with platform-independent graphical user interfaces that can operate across the Internet.

Description With Kubernetes, users don't have to worry about which specific machine in their data center their application is running on. Each layer in their application is decoupled from other layers so they can scale, update, and maintain them independently. Kubernetes in Action teaches developers how to use Kubernetes to deploy self-healing scalable distributed applications. By the end, readers will be able to build and deploy applications in a proper way to take full advantage of the Kubernetes platform. Key features * Easy to follow guide * Hands-on examples * Clearly-written Audience The book is for both application developers as well as system administrators who want to learn about Kubernetes from the developer's perspective. About the Technology Kubernetes abstracts away the hardware infrastructure and exposes your whole datacenter as a single enormous computational resource.

This is a comprehensive textbook for teaching and learning SOA concepts. Assuming no prior knowledge of programming languages on the part of the reader, this book contains a rich collection of step- by- step procedures to help one, master the services. Features: Student friendly -- written in a clear, concise and lucid manner; A sincere attempt has been made to introduce the basic concepts of services; Each chapter is organised into small sections that address key topics; Emphasis on in-depth coverage and good style in programming; Aims to motivate the unmotivated; Abundance of programming examples with sample output; Explains the philosophy behind the creation of the concepts and its various features; Covers both elementary as well as advanced concepts; Helps to understand concepts by providing diagrams and program listings wherever necessary; Logical flow of concepts starting from preliminary topics to the advanced topics; Programs for each concept to illustrate its significance and scope; Complete explanation of each program with emphasis on the core segment.

For courses in Java Programming. Effective step-by-step Java education Building Java Programs: A Back to Basics Approach introduces new concepts and syntax using a spiral approach, ensuring students are thoroughly prepared as they work through CS1 material. Through the first four editions, Building Java Programs and its back-to-basics approach have proven remarkably effective. The 5th Edition has been extensively updated with incorporation of JShell integration, improved loop coverage, rewritten and revised case studies, examples, updated collection syntax and idioms, expanded self-check and programming exercising sections, and new programming projects. Also available with MyLab Programming MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.With MyLab Programming, students work through hundreds of short, auto-graded coding exercises and receive immediate and helpful feedback based on their work. If you would like to purchase both the physical text and MyLab Programming, search for: 0135862353 / 9780135862353 Building Java Programs: A Back to Basics Approach Plus MyLab Programming with Pearson eText -- Access Card Package, 5/e Package consists of: 0135472466 / 9780135472460 MyLab Programming Standalone Access Card 013547194X / 9780135471944 Building Java Programs: A Back to Basics Approach

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational molecular biology and computational chemistry. Centered around the fundamental issue of graph isomorphism, this text goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.

Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters explain advanced industrial applications of NLP with solution implementation and leveraging the power of deep learning techniques for NLP problems. It also employs state-of-the-art advanced RNNs, such as long short-term memory, to solve complex text generation tasks. After reading this book, you will have a clear understanding of the challenges faced by different industries and you will have worked on multiple examples of implementing NLP in the real world. What You Will Learn Know the core concepts of implementing NLP and various approaches to natural language processing (NLP), including NLP using Python libraries such as NLTK, textblob, SpaCy, Standford CoreNLP, and more Implement text pre-processing and feature engineering in NLP, including advanced methods of feature engineering Understand and implement the concepts of information retrieval, text summarization, sentiment analysis, text classification, and other advanced NLP techniques leveraging machine learning and deep learning Who This Book Is For Data scientists who want to refresh and learn various concepts of natural language processing (NLP) through coding exercises

"It is the first book that I have read that makes STL quickly usable by working programmers" Francis Glassborow, Chair of The Association of C & C++ Users (ACCU) STL for C++ programmers Leen Ammeraal The Standard Template Library (STL) provides many useful and generally applicable programming tools. This book combines reference material and a well-paced tutorial to get you past the basics quickly. Small, complete programs illustrate the key STL features such as containers, algorithms, iterators and function objects. A section is devoted to the new string data type. All STL algorithms are formally presented by their prototypes and then informally described to show how to use them in practice. Concepts are well illustrated with a large number of example programs all of which are available via ftp (for access details please refer to the preface of the book or Wiley’s website). Finally, special examples are given to explain the advanced notions of function objects and function adaptors, including predicates, binders and negators.

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development. The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results. The book dives into optimization tuners and the search algorithms they are based on: Evolution search, Annealing search, and the Bayesian Optimization approach. The Neural Architecture Search is covered and you will learn how to develop deep learning models from scratch. Multi-trial and one-shot searching approaches of automatic neural network design are presented. The book teaches you how to construct a search space and launch an architecture search using the latest state-of-the-art exploration strategies: Efficient Neural Architecture Search (ENAS) and Differential Architectural Search (DARTS). You will learn how to automate the construction of a neural network architecture for a particular problem and dataset. The book focuses on model compression and feature engineering methods that are essential in automated deep learning. It also includes performance techniques that allow the creation of large-scale distributive training platforms using NNI. After reading this book, you will know how to use the full toolkit of automated deep learning methods. The techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level. What You Will Learn Know the basic concepts of optimization tuners, search space, and trials Apply different hyper-parameter optimization algorithms to develop effective neural networks Construct new deep learning models from scratch Execute the automated Neural Architecture Search to create state-of-the-art deep learning models Compress the model to eliminate unnecessary deep learning layers Who This Book Is For Intermediate to advanced data scientists and machine learning engineers involved in deep learning and practical neural network development

Property-based testing helps you create better, more solid tests with little code. By using the PropEr framework in both Erlang and Elixir, this book teaches you how to automatically generate test cases, test stateful programs, and change how you design your software for more principled and reliable approaches. You will be able to better explore the problem space, validate the assumptions you make when coming up with program behavior, and expose unexpected weaknesses in your design. PropEr will even show you how to reproduce the bugs it found. With this book, you will be writing efficient property-based tests in no time. Most tests only demonstrate that the code behaves how the developer expected it to behave, and therefore carry the same blind spots as their authors when special conditions or edge cases show up. Learn how to see things differently with property tests written in PropEr. Start with the basics of property tests, such as writing stateless properties, and using the default generators to generate test cases automatically. More importantly, learn how to think in properties. Improve your properties, write custom data generators, and discover what your code can or cannot do. Learn when to use property tests and when to stick with example tests with real-world sample projects. Explore various testing approaches to find the one that's best for your code. Shrink failing test cases to their simpler expression to highlight exactly what breaks in your code, and generate highly relevant data through targeted properties. Uncover the trickiest bugs you can think of with nearly no code at all with two special types of properties based on state transitions and finite state machines. Write Erlang and Elixir properties that generate the most effective tests you'll see, whether they are unit tests or complex integration and system tests. What You Need Basic knowledge of Erlang, optionally Elixir For Erlang tests: Erlang/OTP >= 20.0, with Rebar >= 3.4.0 For Elixir tests: Erlang/OTP >= 20.0, Elixir >= 1.5.0

Your customers want rock-solid, bug-free software that does exactly what they expect it to do. Yet they can't always articulate their ideas clearly enough for you to turn them into code. You need Cucumber: a testing, communication, and requirements tool-all rolled into one. All the code in this book is updated for Cucumber 2.4, Rails 5, and RSpec 3.5. Express your customers' wild ideas as a set of clear, executable specifications that everyone on the team can read. Feed those examples into Cucumber and let it guide your development. Build just the right code to keep your customers happy. You can use Cucumber to test almost any system or any platform. Get started by using the core features of Cucumber and working with Cucumber's Gherkin DSL to describe-in plain language-the behavior your customers want from the system. Then write Ruby code that interprets those plain-language specifications and checks them against your application. Next, consolidate the knowledge you've gained with a worked example, where you'll learn more advanced Cucumber techniques, test asynchronous systems, and test systems that use a database. Recipes highlight some of the most difficult and commonly seen situations the authors have helped teams solve. With these patterns and techniques, test Ajax-heavy web applications with Capybara and Selenium, REST web services, Ruby on Rails applications, command-line applications, legacy applications, and more. Written by the creator of Cucumber and the co-founders of Cucumber Ltd., this authoritative guide will give you and your team all the knowledge you need to start using Cucumber with confidence. What You Need: Windows, Mac OS X (with XCode) or Linux, Ruby 1.9.2 and upwards, Cucumber 2.4, Rails 5, and RSpec 3.5

Implement blockchain from scratch covering all the details with Racket, a general-purpose Lisp. You'll start by exploring what a blockchain is, so you have a solid foundation for the rest of the book. You'll then be ready to learn Racket before starting on your blockchain implementation. Once you have a working blockchain, you'll move onto extending it. The book's appendices provide supporting resources to help you in your blockchain projects. The recommended approach for the book is to follow along and write the code as it's being explained instead of reading passively. This way you will get the most out of it. All of the source code is available for free download from GitHub. What You Will Learn Discover the Racket programming language and how to use it Implement a blockchain from scratch using Lisp Implement smart contracts and peer-to-peer support Learn how to use macros to employ more general abstractions Who This Book Is For Novices that have at least some experience with programming, as well as some basic working experience with computers. The book also assumes some experience with high school mathematics, such as functions.

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. "Accelerating MATLAB with GPUs" offers a primer on bridging this gap.

Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers projects. Download example codes from the publisher's website: http: //booksite.elsevier.com/9780124080805/
Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledgeExplains the related background on hardware, architecture and programming for ease of useProvides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects"

Summary

"The Joy of Clojure, Second Edition" is a deep look at the Clojure language. Fully updated for Clojure 1.6, this new edition goes beyond just syntax to show you the "why" of Clojure and how to write fluent Clojure code. You'll learn functional and declarative approaches to programming and will master the techniques that make Clojure so elegant and efficient.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

The Clojure programming language is a dialect of Lisp that runs on the Java Virtual Machine and JavaScript runtimes. It is a functional programming language that offers great performance, expressive power, and stability by design. It gives you built-in concurrency and the predictable precision of immutable and persistent data structures. And it's really, really fast. The instant you see long blocks of Java or Ruby dissolve into a few lines of Clojure, you'll know why the authors of this book call it a "joyful language." It's no wonder that enterprises like Staples are betting their infrastructure on Clojure.

About the Book

"The Joy of Clojure, Second Edition "is a deep account of the Clojure language. Fully updated for Clojure 1.6, this new edition goes beyond the syntax to show you how to write fluent Clojure code. You'll learn functional and declarative approaches to programming and will master techniques that make Clojure elegant and efficient. The book shows you how to solve hard problems related to concurrency, interoperability, and performance, and how great it can be to think in the Clojure way.

Appropriate for readers with some experience using Clojure or common Lisp.

What's InsideBuild web apps using ClojureScriptMaster functional programming techniquesSimplify concurrencyCovers Clojure 1.6

About the Authors

Michael Fogus and Chris Houser are contributors to the Clojure and ClojureScript programming languages and the authors of various Clojure libraries and language features.

Table of ContentsPART 1 FOUNDATIONSClojure philosophyDrinking from the Clojure fire hoseDipping your toes in the poolPART 2 DATA TYPESOn scalarsCollection typesPART 3 FUNCTIONAL PROGRAMMINGBeing lazy and set in your waysFunctional programmingPART 4 LARGE-SCALE DESIGNMacrosCombining data and codeMutation and concurrencyParallelismPART 5 HOST SYMBIOSISJava.nextWhy ClojureScript?PART 6 TANGENTIAL CONSIDERATIONSData-oriented programmingPerformanceThinking programsClojure changes the way you think

Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book's overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors' experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge. Features of this book This book does not assume any previous programming experience, although of course, any exposure to other programming languages is useful This book introduces all of the key concepts of Python programming language with helpful illustrations Programming examples are presented in a clear and consistent manner Each line of code is numbered and explained in detail Use of f-strings throughout the book Hundreds of real-world examples are included and they come from fields such as entertainment, sports, music and environmental studies Students can periodically check their progress with in-chapter quizzes that appear in all chapters

Learn to program with C++ quickly with this helpful "For Dummies" guide

"Beginning Programming with C++ For Dummies, 2nd Edition" gives you plain-English explanations of the fundamental principles of C++, arming you with the skills and know-how to expertly use one of the world's most popular programming languages. You'll explore what goes into creating a program, how to put the pieces together, learn how to deal with standard programming challenges, and much more.

Written by the bestselling author of" C++ For Dummies," this updated guide explores the basic development concepts and techniques of C++ from a beginner's point of view, and helps make sense of the how and why of C++ programming from the ground up. Beginning with an introduction to how programming languages function, the book goes on to explore how to work with integer expressions and character expressions, keep errors out of your code, use loops and functions, divide your code into modules, and become a functional programmer.Grasp C++ programming like a pro, even if you've never written a line of codeMaster basic development concepts and techniques in C++Get rid of bugs and write programs that workFind all the code from the book and an updated C++ compiler on the companion website

If you're a student or first-time programmer looking to master this object-oriented programming language, "Beginning Programming with C++ For Dummies, 2nd Edition" has you covered.

The best-selling C++ For Dummies book makes C++ easier! C++ For Dummies, 7th Edition is the best-selling C++ guide on the market, fully revised for the 2014 update. With over 60% new content, this updated guide reflects the new standards, and includes a new Big Data focus that highlights the use of C++ among popular Big Data software solutions. The book provides step-by-step instruction from the ground up, helping beginners become programmers and allowing intermediate programmers to sharpen their skills. The companion website provides all code mentioned in the text, an updated GNU-C++, the new C++ compiler, and other applications. By the end of the first chapter, you will have programmed your first C++ application! As one of the most commonly used programming languages, C++ is a must-have skill for programmers who wish to remain versatile and marketable. C++ For Dummies, 7th Edition provides clear, concise, expert instruction, which is organized for easy navigation and designed for hands-on learning. Whether you're new to programming, familiar with other languages, or just getting up to speed on the new libraries, features, and generics, this guide provides the information you need. * Provides you with an introduction to C++ programming * Helps you become a functional programmer * Features information on classes, inheritance, and optional features * Teaches you 10 ways to avoid adding bugs The book incorporates the newest C++ features into the fundamental instruction, allowing beginners to learn the update as they learn the language. Staying current on the latest developments is a crucial part of being a programmer, and C++ For Dummies, 7th Edition gets you started off on the right foot.

A must-have for UPC programmers and applications developers

This publication provides an in-depth interpretation of UPC language specifications for use in highly parallel systems. With its extensive use of examples, UPC programming case studies, and illustrations, it offers new insights into developing efficient and effective UPC applications such as high-speed signal processing and pattern recognition. As an added feature, readers have access to an ftp site containing an electronic copy of the full code and can make files for all the examples given in the text.

The book provides all the information and guidance needed to use this powerful new programming language: Chapter 1 provides a quick tutorial of the major features of the UPC language Chapter 2 presents the UPC programming model and describes how shared and nonshared data are declared and used Chapter 3 covers the critically important concept of pointers in UPC, identifying the types, declarations, and usage of the various UPC pointers and how they work with arrays Chapter 4 explains how data and work can be distributed in UPC such that data locality is exploited through efficient data declarations and work-sharing constructs Chapter 5 provides extensive treatment of dynamic memory allocation in the shared space Chapter 6 covers thread and data synchronization, explaining the effective mechanisms provided by UPC for mutual exclusion, barriers, and memory consistency control Chapter 7 offers programmers tools needed to write efficient applications Chapter 8 introduces two UPC standard libraries: the collective operations library and the parallel I/O library Appendices feature the UPC v1.1.1 specification; UPC v1.0 collectivelibrary specifications; UPC-IO v1.0 specifications; information on how to compile and run UPC programs; and a quick UPC reference card

UPC is ubiquitous. It is supported on parallel computers from HP, Cray, SGI, IBM, as well as on computer clusters. This is the authoritative source for learning how to master this programming language; El-Ghazawi, Carlson, and Yelick are among the developers of UPC.

What is JavaScript Object Notation (JSON) and how can you put it to work? This concise guide helps busy IT professionals get up and running quickly with this popular data interchange format, and provides a deep understanding of how JSON works. Author Lindsay Bassett begins with an overview of JSON syntax, data types, formatting, and security concerns before exploring the many ways you can apply JSON today. From Web APIs and server-side language libraries to NoSQL databases and client-side frameworks, JSON has emerged as a viable alternative to XML for exchanging data between different platforms. If you have some programming experience and understand HTML and JavaScript, this is your book. Learn why JSON syntax represents data in name-value pairs Explore JSON data types, including object, string, number, and array Find out how you can combat common security concerns Learn how the JSON schema verifies that data is formatted correctly Examine the relationship between browsers, web APIs, and JSON Understand how web servers can both request and create data Discover how jQuery and other client-side frameworks use JSON Learn why the CouchDB NoSQL database uses JSON to store dat