- The first book dedicated to exploring key video games from the 1970s to present day. - Provides a highly accessible overview of the history of video games from PONG, Pac-Man and Tetris to Minecraft, Animal Crossing and Assassin's Creed. - The selection covers a range of historical periods and platforms, genres, commercial impact, artistic choices, contexts of play, typical and atypical representations, uses of games for specific purposes, uses of materials or techniques, specific subcultures, repurposing, transgressive aesthetics, interfaces, moral or ethical impacts, and more.

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

The author takes readers on an in-depth walkthrough of the Torque Game Engine---one of the most popular, powerful, and easy to use game engines available today. With clear explanations of how to use Torque to create your own games and detailed discussions of the engine's inner workings, this book is a must read for any programmer interested in making games for fun or profit. It offers step-by-step examples, detailed system descriptions, in-depth references, practical tips, tricks, and more that provide readers all they need to understand the Torque Game Engine. See the Support page on the author's website for a revision of Chapter 15 (Torque Lighting). Downloadable resources are included with the book.

Imagine a time in the not too distant future when not only game companies but also the human resources, marketing and product development divisions of major corporations are hiring game designers. The time is coming when companies large and small, creative agencies, school systems, museums, libraries and public and governmental institutions will employ game designers to engage employees, customers, students and volunteers to generate new audiences and deepen commitments. The skills that a game designer brings, organizing and presenting a body of information in the most appropriate and entertaining way, are the ones needed by the twenty-first century organization. Designing Gamified Systems is a practical guide for practicing and aspiring game designers to put their unique and valuable skills to work to drive engagement, build motivation, and facilitate positive behavior.

Rather than the overused ideas of pervasive games or "gamification," this book uniquely focuses first and foremost on the partnership between the content expert or client and the game designer. It assumes that game systems are one more meaningful tool that can now be used to help organizations and individuals encourage people to care about them and support them. Providing a solid introduction to the fundamental principles of the game layer, it also offers a practical set of tools and activities to contextualize the practice within a variety of different scenarios. It includes interviews with industry leaders, content experts, game designers, museum professionals, and educators who are all using game practices and ideas in new and innovative ways. Catching a snapshot of this exciting moment while delivering enduring fundamentals, the book can be used in the classroom or can be read as a trade book, and will appeal to industry professionals, game designers and game design students."

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy modules. The Python source code and data files are available on the author's website. The book's five sections present: An overview of problem solving and simple Python programs, introducing the basic models and techniques for designing and implementing problem solutions, independent of software and hardware tools Programming principles with the Python programming language, covering basic programming concepts, data definitions, programming structures with flowcharts and pseudo-code, solving problems, and algorithms Python lists, arrays, basic data structures, object orientation, linked lists, recursion, and running programs under Linux Implementation of computational models with Python using Numpy, with examples and case studies The modeling of linear optimization problems, from problem formulation to implementation of computational models This book introduces the principles of computational modeling as well as the approaches of multi- and interdisciplinary computing to beginners in the field. It provides the foundation for more advanced studies in scientific computing, including parallel computing using MPI, grid computing, and other methods and techniques used in high-performance computing.

This book teaches beginners and aspiring game developers how to develop 2D games with Unity. Thousands of commercial games have been built with Unity. The reader will learn the complete process of 2D game development, step by step. The theory behind each step is fully explained. This book contains numerous color illustrations and access to all source code and companion videos. Key Features: Fully detailed game projects from scratch. Beginners can do the steps and create games right away. No coding experience is necessary. Numerous examples take a raw beginner toward professional coding proficiency in C# and Unity. Includes a thorough introduction to Unity 2020, including 2D game development, prefabs, cameras, animation, character controllers, lighting, and sound. Includes a step-by-step introduction to Unity 2019.3. Extensive coverage of GIMP, Audacity, and MuseScore for the creation of 2D graphics, sound effects, and music. All required software is free to use for any purpose including commercial applications and games. Franz Lanzinger is the owner and chief game developer of Lanzinger Studio, an independent game development and music studio in Sunnyvale, California. He started his career in game programming in 1982 at Atari Games, Inc., where he designed and programmed the classic arcade game Crystal Castles. In 1989, he joined Tengen, where he was a programmer and designer for Ms. Pac-Man and Toobin' on the NES. He co-founded Bitmasters, where he designed and coded games including Rampart and Championship Pool for the NES and SNES, and NCAA Final Four Basketball for the SNES and Sega Genesis. In 1996, he founded Actual Entertainment, publisher and developer of the Gubble video game series. He has a B.Sc. in mathematics from the University of Notre Dame and attended graduate school in mathematics at the University of California at Berkeley. He is a former world record holder on Centipede and Burgertime. He is a professional author, game developer, accompanist, and piano teacher. He is currently working on remaking the original Gubble game in Unity and Blender.

Learn the mechanics that take your game from an idea to a playable product. Do you aspire to be a game designer but aren't sure where to begin? Tabletop Game Design for Video Game Designers guides you through your initial attempts to design game mechanics. It goes beyond simple description and definition to explore in detail the issues that designers grapple with for every game they create. Learning to design tabletop games builds a solid foundation for game designers and provides methods that can be applied towards creating paper prototypes of computer-targeted games. Presented in a step-by-step format, Tabletop Game Design for Video Game Designers helps the reader understand how the game design skills that are acquired through creating tabletop games can be used when designing video games. Fully playable games accompany every topic so you can truly understand and experience each component that goes into game creation. Tabletop Game Design for Video Game Designers includes: Simple, highly focused games that can be played, analyzed, improved, and/or modified in conjunction with a particular topic in the book. Integrated game design exercises, chapter learning objectives, and in-text sidebars to provide further examples to apply directly to your game creation process. A companion website (www.funmines.com) which includes: "print & play" tabletop games, links to online games, game design resources, and articles about designing and developing games.

Gambling is both a multi-billion dollar international industry and a ubiquitous social and cultural phenomenon. It is also undergoing significant change, with new products and technologies, regulatory models, changing public attitudes and the sheer scale of the gambling enterprise necessitating innovative and mixed methodologies that are flexible, responsive and 'agile'. This book seeks to demonstrate that researchers should look beyond the existing disciplinary territory and the dominant paradigm of 'problem gambling' in order to follow those changes across territorial, political, technical, regulatory and conceptual boundaries. The book draws on cutting-edge qualitative work in disciplines including anthropology, history and media studies to explore the production and consumption of risk, risky places, risk technology, the gambling industry, and connections between gambling and other kinds of speculation such as financial derivatives. In doing so it addresses some of the most important issues in contemporary social science, including the challenges of studying deterritorialised social phenomena; globalizing technologies and local markets; regulation as it operates across local, regional and international scales; globalization, and the rise of games, virtual worlds, and social media.

Need to solve problems quickly to develop creative projects to time and to budget? Want to hone your Flash skills so you can concentrate on your animation? Then How to Cheat in Flash is for you! Chris Georgenes shows how to work from the problem to the solution - from the viewpoint of an animator who has been commissioned to create a job and is working to a deadline and to a budget. With his in-depth knowledge of the little-known secrets used by the pros to produce creative, professional animations, Chris is the go-to guru for designers and animators who want to create great animation, applications or motion design with Flash. Fully updated for CS5, How to Cheat in Flash CS5, is a goldmine of artistic inspiration, timesaving practical tips, tricks and step-by-step workthroughs that you'll wonder how you survived without it. Each techniques is designed as a double-page spread so you can prop the book up behind your keyboard or next to your monitor as a visual reference while working alongside it. Many of these workthroughs are real-world client projects, with the source files supplied for you to open and explore. With these real-life professional projects you'll discover how to: bring objects to life with cool motion effects, make it rain, snow or set your world ablaze, develop flash mobile applications and many more tips and tricks not found anywhere else!

Computer games represent a significant software application domain for innovative research in software engineering techniques and technologies. Game developers, whether focusing on entertainment-market opportunities or game-based applications in non-entertainment domains, thus share a common interest with software engineers and developers on how to best engineer game software. Featuring contributions from leading experts in software engineering, the book provides a comprehensive introduction to computer game software development that includes its history as well as emerging research on the interaction between these two traditionally distinct fields. An ideal reference for software engineers, developers, and researchers, this book explores game programming and development from a software engineering perspective. It introduces the latest research in computer game software engineering (CGSE) and covers topics such as HALO (Highly Addictive, sociaLly Optimized) software engineering, multi-player outdoor smartphone games, gamifying sports software, and artificial intelligence in games. The book explores the use of games in software engineering education extensively. It also covers game software requirements engineering, game software architecture and design approaches, game software testing and usability assessment, game development frameworks and reusability techniques, and game scalability infrastructure, including support for mobile devices and web-based services.

Most tools developers want to improve the user experience but are not given the time, lack the techniques, or don't know where to begin.Designing the User Experience of Game Development Tools addresses these issues to empower tools developers to make positive steps toward improving the user experience of their tools. The book explains how to improve the user experience of game development tools. The first part of the book details the logic behind why the user experience of game tools must be improved. The second part introduces the concept of user-centered design, a process that revolves around understanding people's goals, watching them work, learning the context in which they work, and understanding how they think. Ideal for anyone who makes, uses, or benefits from game development tools, the book presents complex concepts in a manner that is accessible to those new to user experience design. The book illustrates many proven concepts and techniques using before-and-after examples from tools development to supply you with the real-world understanding you need to become a better game developer. It also describes how to get buy-in from your team. Although concepts have been simplified to make the information more easily accessible, the text includes resources in the footnotes if you want more details. The book includes access to a companion website, www.UXofGameTools.com, that contains the latest revisions for the book as well as contact information. You can also follow the official Twitter account @UXofGameTools to see the latest updates and articles related to the improvement of the user experience.

Description AWS gives users the networking, compute, and security services they need without making them pay for anything they're not actually using. With almost a hundred individual AWS services, putting all the pieces together is not a simple thing. That's where this book can help. Learn Amazon Web Services in a Month of Lunches guides readers through the process of building a robust and secure web application using the core AWS services they really need to know. When they're done, readers will be comfortable with the basics, and know exactly where to look when they're ready for more. Key features * Bite-sized lessons * Step-by-step guide * Thorough introduction * Hands-on examples Audience This book is for developers, system administrators, or anyone looking for an introduction to using AWS cloud. A basic understanding of TCP/IP networking is helpful, but not required. About the Technology Amazon Web Services is, by all metrics, the giant of the cloud computing world. Not only does it dominate in terms of user adoption and market share, but its innovative and highly integrated services have defined the way networked digital services are delivered.

Running your systems in the cloud doesn't automatically make them secure. To create secure applications and infrastructure on AWS, you need to understand the tools and features the platform provides and learn new approaches to configuring and managing them. Written by security engineer Dylan Shields, AWS Security provides comprehensive coverage on the key tools and concepts you can use to defend AWS-based systems. You'll learn how to honestly assess your existing security protocols, protect against the most common attacks on cloud applications, and apply best practices to configuring Identity and Access Management and Virtual Private Clouds. about the technology Rapid iteration, easy scaling, and huge savings have caused a mass migration to AWS. However, running in the cloud requires you to modify the security practices you use in on-prem infrastructure. Users of AWS who fail to adapt run the risk of exposing their business and their customers to an attack. Luckily, AWS comes with a stack of tools and services that offer a high level of control over your cloud security. about the book AWS Security is an invaluable guide that you'll want to have on hand when you're facing any cloud security problem. With a cookbook-style delivery, it's filled with well-documented examples and procedures you can apply to common AWS security issues. This book covers best practices for access policies, data protection, auditing, continuous monitoring, and incident response. You'll also explore several deliberately insecure applications, including a social media site and a mobile app, learning the exploits and vulnerabilities commonly used to attack them and the security practices to counter those attacks. With this practical primer, you'll be well prepared to evaluate your system's security, detect threats, and respond with confidence. what's inside Securely grant access to AWS resources to coworkers and customers Develop policies for ensuring proper access controls Lock-down network controls using VPCs Record audit logs and use them to identify attacks Track and assess the security of an AWS account Common attacks and vulnerabilities about the reader For software and security engineers building and securing AWS applications. about the author Dylan Shields is a software engineer working on Quantum Computing at AWS. Previously, Dylan was the first engineer on the AWS Security Hub team. He has also worked at Google Cloud, focusing on the security and reliability of their serverless data warehouse, BigQuery.

In Learn Kubernetes in a Month of Lunches you'll go from "what's a Pod?" to automatically scaling clusters of containers and components in just 22 hands-on lessons, each short enough to fit into a lunch break. Every lesson is task-focused and covers an essential skill on the road to Kubernetes mastery. You'll learn how to smooth container management with Kubernetes, including securing your clusters, and upgrades and rollbacks with zero downtime. No development stack, platform, or background is assumed. Author Elton Stoneman describes all patterns generically, so you can easily apply them to your applications and port them to other projects! about the technologyCreate apps that perform identically on your laptop, data center, and cloud! Kubernetes provides a consistent method for deploying applications on any platform, making it easy to grow. By efficiently orchestrating Docker containers, Kubernetes simplifies tasks like rolling upgrades, scaling, and self-healing. about the book Learn Kubernetes in a Month of Lunches is your guide to getting up and running with Kubernetes. You'll progress from Kubernetes basics to essential skills, learning to model, deploy, and manage applications in production. Exercises demonstrate how Kubernetes works with multiple languages and frameworks. You'll also practice with new apps, legacy code, and serverless functions. what's inside Deploying applications on Kubernetes clusters Understanding the Kubernetes app lifecycle, from packaging to rollbacks Self-healing and scalable apps Using Kubernetes as a platform for new technologies about the readerFor readers familiar with Docker and containerization. about the author Elton Stoneman is a Docker Captain, a 11-time Microsoft MVP, and the author of Learn Docker in a Month of Lunches.

In this book, Graham Mayeda demonstrates how Watsuji Tetsuro and Kuki Shuzo, two twentieth-century Japanese philosophers, criticize and interpret Heideggerian philosophy, articulating traditional Japanese ethics in a modern idiom.

Kotlin is a statically typed programming language designed to interoperate with Java and fully supported by Google on the Android operating system. It is also a multiplatform language that can be used to write code that can be shared across platforms including macOS, iOS, Windows, and JavaScript. Based on Big Nerd Ranch's popular Kotlin Essentials course, this guide shows you how to work effectively with Kotlin through hands-on examples and clear explanations of key Kotlin concepts and foundational APIs. Written for Kotlin 1.5, this book will also introduce you to JetBrains' IntelliJ IDEA development environment. Whether you are an experienced developer or are learning your first programming language - and whether you are interested in Kotlin for Android, server-side, or multiplatform projects - the authors will guide you from first principles to advanced Kotlin usage. By the end of this book, you will be empowered to create reliable, concise applications in Kotlin.

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning. Different from other machine learning algorithms, such as supervised learning and unsupervised learning, the key feature of RL is its unique learning paradigm, i.e., trial-and-error. Combined with the deep neural networks, deep RL become so powerful that many complicated systems can be automatically managed by AI agents at a superhuman level. On the other hand, CPSs are envisioned to revolutionize our society in the near future. Such examples include the emerging smart buildings, intelligent transportation, and electric grids. However, the conventional hand-programming controller in CPSs could neither handle the increasing complexity of the system, nor automatically adapt itself to new situations that it has never encountered before. The problem of how to apply the existing deep RL algorithms, or develop new RL algorithms to enable the real-time adaptive CPSs, remains open. This book aims to establish a linkage between the two domains by systematically introducing RL foundations and algorithms, each supported by one or a few state-of-the-art CPS examples to help readers understand the intuition and usefulness of RL techniques. Features Introduces reinforcement learning, including advanced topics in RL Applies reinforcement learning to cyber-physical systems and cybersecurity Contains state-of-the-art examples and exercises in each chapter Provides two cybersecurity case studies Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies is an ideal text for graduate students or junior/senior undergraduates in the fields of science, engineering, computer science, or applied mathematics. It would also prove useful to researchers and engineers interested in cybersecurity, RL, and CPS. The only background knowledge required to appreciate the book is a basic knowledge of calculus and probability theory.

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT - The Health and Life Sciences University, Austria, and the Universitat der Bundeswehr Munchen. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universitat Munchen. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11 GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering: Robustness Accuracy Speed Quality source code that is easily maintained, reusable, and readable The book primarily addresses programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first describes numerical issues that arise when computing with floating-point arithmetic, including making trade-offs among robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD. The core of the book focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter covers drawing 3D objects; vertex, geometry, pixel, and compute shaders; input and output resources for shaders; copying data between CPU and GPU; configuring two or more GPUs to act as one; and IEEE floating-point support on a GPU. The book goes on to explore practical matters of programming a GPU, including code sharing among applications and performing basic tasks on the GPU. Focusing on mathematics, it next discusses vector and matrix algebra, rotations and quaternions, and coordinate systems. The final chapter gives several sample GPGPU applications on relatively advanced topics. Web ResourceAvailable on a supporting website, the author's fully featured Geometric Tools Engine for computing and graphics saves you from having to write a large amount of infrastructure code necessary for even the simplest of applications involving shader programming. The engine provides robust and accurate source code with SIMD when appropriate and GPU versions of algorithms when possible.

Learn JavaScript and jQuery a nicer way This full-color book adopts a visual approach to teaching JavaScript & jQuery, showing you how to make web pages more interactive and interfaces more intuitive through the use of inspiring code examples, infographics, and photography. The content assumes no previous programming experience, other than knowing how to create a basic web page in HTML & CSS. You'll learn how to achieve techniques seen on many popular websites (such as adding animation, tabbed panels, content sliders, form validation, interactive galleries, and sorting data).. * Introduces core programming concepts in JavaScript and jQuery * Uses clear descriptions, inspiring examples, and easy-to-follow diagrams * Teaches you how to create scripts from scratch, and understand the thousands of JavaScripts, JavaScript APIs, and jQuery plugins that are available on the web * Demonstrates the latest practices in progressive enhancement, cross-browser compatibility, and when you may be better off using CSS3 If you're looking to create more enriching web experiences and express your creativity through code, then this is the book for you. This book is also available as part of a set in hardcover - Web Design with HTML, CSS, JavaScript and jQuery, 9781119038634 - and in softcover - Web Design with HTML, CSS, JavaScript and jQuery, 9781118907443.

The world is becoming increasingly mobile. Smartphones and tablets have become more powerful and popular, with many of these devices now containing confidential business, financial, and personal information. This has led to a greater focus on mobile software security. Establishing mobile software security should be of primary concern to every mobile application developer. This book explains how you can create mobile social applications that incorporate security throughout the development process. Although there are many books that address security issues, most do not explain how to incorporate security into the building process. Secure Development for Mobile Apps does exactly that. Its step-by-step guidance shows you how to integrate security measures into social apps running on mobile platforms. You'll learn how to design and code apps with security as part of the process and not an afterthought. The author outlines best practices to help you build better, more secure software. This book provides a comprehensive guide to techniques for secure development practices. It covers PHP security practices and tools, project layout templates, PHP and PDO, PHP encryption, and guidelines for secure session management, form validation, and file uploading. The book also demonstrates how to develop secure mobile apps using the APIs for Google Maps, YouTube, jQuery Mobile, Twitter, and Facebook. While this is not a beginner's guide to programming, you should have no problem following along if you've spent some time developing with PHP and MySQL.

Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author's many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical, broad appeal, this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering-from elementary methods to complex algorithms-it gradually incorporates algorithmic elements with increasing complexity. Develop a Combination of Theoretical Knowledge, Efficient Analysis Skills, and Code Design Know-How The book encourages algorithmic thinking, which is essential to numerical analysis. Establishing the fundamental numerical methods, application numerical behavior and graphical output needed to foster algorithmic reasoning, coding dexterity, and a scientific programming style, it enables readers to successfully navigate relevant algorithms, understand coding design, and develop efficient programming skills. The book incorporates real code, and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C++, followed by discussion of basic sorting and indexing methods, as well as portable graphic functionality Contains methods for function evaluation, solving algebraic and transcendental equations, systems of linear algebraic equations, ordinary differential equations, and eigenvalue problems Addresses approximation of tabulated functions, regression, integration of one- and multi-dimensional functions by classical and Gaussian quadratures, Monte Carlo integration techniques, generation of random variables, discretization methods for ordinary and partial differential equations, and stability analysis This text introduces platform-independent numerical programming using Python and C/C++, and appeals to advanced undergraduate and graduate students in natural sciences and engineering, researchers involved in scientific computing, and engineers carrying out applicative calculations.

Getting Started with Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you'll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you're done, you'll have a solid grounding in NLP that will serve as a foundation for further learning. Key Features * Extracting information from raw text * Named entity recognition * Automating summarization of key facts * Topic labeling For beginners to NLP with basic Python skills. About the technology Natural Language Processing is a set of data science techniques that enable machines to make sense of human text and speech. Advances in machine learning and deep learning have made NLP more efficient and reliable than ever, leading to a huge number of new tools and resources. From improving search applications to sentiment analysis, the possible applications of NLP are vast and growing. Ekaterina Kochmar is an Affiliated Lecturer and a Senior Research Associate at the Natural Language and Information Processing group of the Department of Computer Science and Technology, University of Cambridge. She holds an MA degree in Computational Linguistics, an MPhil in Advanced Computer Science, and a PhD in Natural Language Processing.

SQL Queries for Mere Mortals has earned worldwide praise as the clearest, simplest tutorial on writing effective queries with the latest SQL standards and database applications. Now, author John L. Viescas has updated this hands-on classic with even more advanced and valuable techniques.

Step by step, Viescas guides readers through creating reliable queries for virtually any current SQL-based database. He demystifies all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data. Building on the basics, Viescas shows how to solve challenging real-world problems, including applying multiple complex conditions on one table, performing sophisticated logical evaluations, and using unlinked tables to think “outside the box.”

In two brand-new chapters, students learn how to perform complex calculations on groups for sophisticated reporting, and how to partition data into windows for more flexible aggregation.

Students can practice all they need with downloadable sample databases for today’s versions of Microsoft Office Access, Microsoft SQL Server, and the open source MySQL and PostgreSQL databases.

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.