Computer programming / software engineering

Get connected.

In this urgent, authoritative book, Bill Gates sets out a wide-ranging, practical - and accessible - plan for how the world can get to zero greenhouse gas emissions in time to avoid a climate catastrophe.

What if an algorithm could predict which manuscripts would become mega-bestsellers?

A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancerSociety is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market.

Master optimal memory management techniques in .

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

Effective Prototyping for Software Makers is a practical, informative resource that will help anyone-whether or not one has artistic talent, access to special tools, or programming ability-to use good prototyping style, methods, and tools to build prototypes and manage for effective prototyping.

Proven Software & Systems Requirements Engineering Techniques"e;Requirements engineering is a discipline used primarily for large and complex applications.

Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard.

Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology.

"e;All that have ever tried to impose change in their organization will immediately recognize and truly value the in-depth knowledge and experience captured in this book.

Carefully researched over ten years and eagerly anticipated by the agile community, Crystal Clear: A Human-Powered Methodology for Small Teams is a lucid and practical introduction to running a successful agile project in your organization.

Approx.

This Expert Guide gives you the techniques and technologies in software engineering to optimally design and implement your embedded system.

A Practical Guide to SysML: The Systems Modeling Language is a comprehensive guide for understanding and applying SysML to model systems.

Developing High Quality Data Models provides an introduction to the key principles of data modeling.

Managing Time in Relational Databases: How to Design, Update and Query Temporal Data introduces basic concepts that will enable businesses to develop their own framework for managing temporal data.

Advances in Computers, Volume 112, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications.

Advances in Computers, Volume 108, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications.

Why Programs Fail: A Guide to Systematic Debugging is proof that debugging has graduated from a black art to a systematic discipline.

Who are computer hackers?

Develop diverse real-life projects including most aspects of Spring BootKey FeaturesRun production-grade based applications using the Spring WebFlux frameworkLearn to develop high performance, asynchronous applications with Spring BootCreate robust microservice-based applications with Kotlin using Spring BootBook DescriptionSpring is one of the best tools available on the market for developing web, enterprise, and cloud-ready software.

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefitsKey FeaturesExplore the advantages of Reactive programmingUse concurrency and parallelism in RxPY to build powerful reactive applicationsDeploy and scale your reactive applications using DockerBook DescriptionReactive programming is central to many concurrent systems, but it's famous for its steep learning curve, which makes most developers feel like they're hitting a wall.

Compose and decompose ARM templates and use advanced concepts like looping, conditions, dependencies, PowerShell and Desired State Configuration.

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals.

As the embedded world expands, developers must have a strong grasp of many complex topics in order to make faster, more efficient and more powerful microprocessors to meet the public's growing demand.

This Expert Guide gives you the techniques and technologies in software engineering to optimally design and implement your embedded system.

Data are an organization's sole, non-depletable, non-degrading, durable asset.

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor.

Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard.

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications.

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology.

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades.

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects.

Imagine how much easier creating web and mobile applications would be if you had a practical and concise, hands-on guide to visual design.

Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks.

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design.

This book is for any manager or team leader that has the green light to implement a data governance program.

Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming.

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures.

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics.

You have to make sense of enormous amounts of data, and while the notion of "e;agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half.

The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications.

Modern Embedded Computing: Designing Connected, Pervasive, Media-Rich Systems provides a thorough understanding of the platform architecture of modern embedded computing systems that drive mobile devices.

Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing.

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming.

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects.

The demand for SQL information and training continues to grow with the need for a database behind every website capable of offering web-based information queries.

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language).