Computing and Information Technology Books

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Book SynopsisThis book offers a practical guide to setting up and maintaining a successful online business in the fast-paced and ever-evolving world of the Internet. It covers topics such as evaluating business ideas, online marketing, and customer retention strategies.

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Book SynopsisWritten specifically for senior citizens who want to get the most out of their iPads, this step-by-step guidebook shows how to work and customize numerous lesser-known but very important features. Beginning with a discussion on how to configure various practical settings on an iPad-including touch, visibility, sounds, messaging, and privacy-this book then goes on to detail options that exist within apps, including Safari, Twitter, and Facebook. Additional topics include working with the Notification Center, optimizing Mail settings, managing Contacts and Calendar events, and setting Reminders. With large-print type and an extensive index, this is the best resource for seniors looking to learn all about their iPad. Suitable for iPad 2, the new iPad (3th and 4th generation), iPad Air, iPad mini and iPad mini 2

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Book Synopsis"Testing in 30+ Open Source Tools, 2nd Edition" provides installation processes and code samples for various open source testing tools covering test management, automation, agile testing, performance testing, acceptance testing, source control, code coverage, unit testing, SOA testing, security testing, and setting up test lab in cloud computing.

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Book SynopsisAstrid Ensslin is Professor in Digital Humanities and Game Studies at the University of Alberta, Canada.Isabel Balteiro is Senior Lecturer in English Linguistics at the University of Alicante, Spain.Trade ReviewOften, one's unique background and diversity shapes experiences in a way that poses significant challenges to such tasks as language translation or situational meaning design. The essays in this book will help readers understand how video games are shaping experiences. Summing up: Recommended * Choice *Approaches to Video-Game Discourse is a field-shaping collection of essays which show how interesting and varied the study of online gaming can be. The book is impressive in its scope, including research about the micro-level features such as word formation and moving through to broader concerns such as the narrativity of particular games. The book should be commended for reaching beyond the study of individual games and paying attention to various paratexts such as video walkthroughs, manuals and the legal language relating to games. The scholars who have contributed to this collection embrace the full range of approaches that are found in discourse studies, using corpus driven analyses, ethnography, pragmatics, and multimodality to explore the texts and interactions of game-playing from empirically informed perspectives. The book will be of interest to linguists and new media scholars alike as a timely resource which helps us all understand how gaming is meaningful in many different ways. * Dr. Ruth Page, Senior Lecturer in Applied Linguistics, University of Birmingham, UK *Finally! A concerted take on the richly, intricately discursive world of gaming. Edited collections have proved to be defining moments in digital discourse studies; this one will be no exception. * Crispin Thurlow, Professor of Language and Communication, University of Bern, Switzerland *Fueled by a new generation of scholars, this volume sketches out videogame discourse studies as a new field of research that extends from corpus-assisted lexical analysis to the multimodal study of paratexts that surround games. The authors draw on concepts and questions from applied, media and sociolinguistics, such as language ideologies, (im)politeness, plain language, and localization. This volume offers an accessible introduction to a field of practice that is massively popular on a global scale, yet quite understudied from a language and discourse perspective. * Jannis Androutsopoulos, Professor of German and Media Linguistics, Universität Hamburg, Germany *Table of ContentsAcknowledgements List of Tables List of Contributors Introduction Locating Videogames in Medium-specific, Multilingual Discourse Analyses, Astrid Ensslin (University of Alberta, Canada) and Isabel Balteiro (University of Alicante, Spain) PART I. Lexicology, Localization, Variation 1. Videogames: A Lexical Approach, Carola Álvarez-Bolado (Universidad Politécnica de Madrid, Spain) and Inmaculada Álvarez de Mon (Universidad Politécnica de Madrid, Spain) 2. Lexical and Morphological Devices in Gamer Language in Fora, Isabel Balteiro (University of Alicante, Spain) 3. Phraseology and Lexico-grammatical Patterns in Two Emergent Paragame Genres: Videogame Tutorials and Walkthroughs, Christopher Gledhill (Paris Diderot, France) 4. Playing with the Language of the Future: the Localization of Science Fiction Terms in Videogames, Alice Ray (Université d’Orléans, France) 5. End-user Agreements in Videogames: Plain English at Work in an Ideal Setting, Miguel Ángel Campos-Pardillos (University of Alicante, Spain) PART II. Player Interactions: (Un)collaboration, (Im)politeness, Power 6. Bad Language and Bro-up Cooperation in Co-sit Gaming, Astrid Ensslin (University of Alberta, Canada) and John Finnegan (Falmouth University, UK) 7. 'Shut the fuck up re! Plant the Bomb Fast!’: Reconstructing language and identity in First Person Shooter Games, Elisavet Kiourti (University of Nicosia, Cyprus) 8. ‘I cut it and I … well now what?’: (Un)collaborative Language in Timed Puzzle Games, Luke A. Rudge (University of the West of England, Bristol, UK) 9. ‘Watch the Potty Mouth’: Negotiating Impoliteness in Online Gaming, Sage L. Graham (University of Memphis, USA) and Scott Dutt (University of Memphis, USA) PART III. Beyond the ‘Text’: Multimodality – Paratextuality – Transmediality 10. On the Procedural Mode, Jason Hawreliak (Brock University, Canada) 11. The Player Experience of Bioshock: A Theory of Ludonarrative Relationships, Weimin Toh (National University of Singapore, Singapore) 12. Language Ideologies in Videogame Discourse: Forms of sociophonetic Othering in Accented Character Speech, Tejasvi Goorimoorthee (University of Alberta, Canada), Adrianna Csipo (Ludwig Maximilian University, Germany), Shelby Carleton (University of Alberta, Canada) and Astrid Ensslin (University of Alberta, Canada) 13. Playing it by the Book: Instructing and Constructing the Player in the Videogame Manual Paratext, Michael Hancock (University of Waterloo, Canada) Afterword, James Paul Gee (Arizona State University, USA) Bibliography Index

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Book SynopsisMaster the most agile and resilient design for building analytics applications: the Unified Star Schema (USS) approach. The USS has many benefits over traditional dimensional modeling. Witness the power of the USS as a single star schema that serves as a foundation for all present and future business requirements of your organization. Data warehouse legend Bill Inmon and data warehouse expert, Francesco Puppini, explain step-by-step, why the USS approach is the preferred approach for business intelligence designs today, and how to use this approach through many examples.This book contains two parts. Part I, Architecture, explains the benefits of data marts and data warehouses, covering how organizations progressed to their current state of analytics, and challenges that result from current business intelligence architectures. Chapter 1 covers the drivers behind and the characteristics of the data warehouse and data mart. Chapter 2 introduces dimensional modeling concepts, including fact tables, dimensions, star joins, and snowflakes. Chapter 3 recalls the evolution of the data mart. Chapter 4 explains Extract, Transform, and Load (ETL), and the value ETL brings to reporting. Chapter 5 explores the Integrated Data Mart Approach, and Chapter 6 explains how to monitor this environment. Chapter 7 describes the different types of metadata within the data warehouse environment. Chapter 8 progresses through the evolution to our current modern data warehouse environment. Part II, the Unified Star Schema, covers the Unified Star Schema (USS) approach and how it solves the challenges introduced in Part I. There are eight chapters within Part II: Chapter 9, Introduction to the Unified Star Schema: Learn about its achitecture and use cases, as well as how the USS approach differs from the traditional approach. Chapter 10, Loss of Data: Learn about the loss of data and the USS Bridge. Understand that the USS approach does not create any join, and for this reason, it has no loss of data. Chapter 11, The Fan Trap: Get introduced to the Oriented Data Model convention, and learn the dangers of a fan trap through an example. Differentiate join and association, and realize that an in-memory association is the preferred solution to the fan trap. Chapter 12, The Chasm Trap: Become familiar with the Cartesian product, and then follow along with an example based on LinkedIn, which illustrates that a chasm trap produces unwanted duplicates. See that the USS Bridge is based on a union, which does not create any duplicates. Chapter 13, Multi-Fact Queries: Distinguish between multiple facts with direct connection versus multiple facts with no direct connection. Explore how BI tools are capable of building aggregated virtual rows. Chapter 14, Loops: Learn more about loops and five traditional techniques to solve them. Follow along with an implementation, which will illustrate the solution based on the USS approach. Chapter 15, Non-Conformed Granularities: Learn about non-conformed granularities, and learn that the Unified Star Schema introduces a solution called re-normalization. Chapter 16, Northwind Case Study. Witness how easy it is to detect the pitfalls of Northwind using the ODM convention. Follow along with an implementation of the USS approach on the Northwind database with various BI tools.

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Book SynopsisCollaborative design process including all stakeholders. Makro-design of services and the tactical design of APIs and events. Comprehensive process from the ideation to the design of interfaces.

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Book SynopsisExplore the potentialand the pitfallsof digital technology in international business courses! Digital Technology in Teaching International Business will familiarize you with techniques that have proven effective in digitizing content or presenting traditional material in an untraditional way. You'll learn how to introduce digital technologies into bricks and mortar classrooms and how to construct an effective online learning environment. This timely and informative book discusses computer-mediated communication systems, shows how students can use the Internet to personally participate in international problem-solving exercises, presents a fascinating case study of a CLD program designed to address educational values, communication competencies, and business practices in former republics of the Soviet Union, and much more! Digital Technology in Teaching International Business outlines the challenges and demands of the knowledge-based economy and discusses tTable of Contents Digitization of Education: A Panacea? Using Information Technology to Promote Multi-Cultural Case Teaching: A Pedagogical Framework Digital Technology in Teaching International Business: Is a Tradeoff Between Richness and Reach Required? Transforming Educational and Business Practices in Belarus: Collaborative Learning at a Distance Preparing the Human Capital for the New Millennium Using Information Technology Experiential Learning in International Business via the World Wide Web Teaching Business Strategy for an Emerging Economy Using Internet Resources in Teaching Financial Reporting and Analysis of Multinational Enterprises Adapting to the Online Teaching Environment: Using Literature to Develop Experiential Exercises for International Management Index Reference Notes Included

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Book SynopsisImagine you are a business user, consultant, or developer about to enter an SAP S/4HANA implementation project. You are well-versed with SAP''s product portfolio and you know that the preferred reporting option in S/4HANA is embedded analytics. But what exactly is embedded analytics? And how can it be implemented? And who can do it: a business user, a functional consultant specialized in financial or logistics processes? Or does a business intelligence expert or a programmer need to be involved? Good questions!This book will answer these questions, one by one. It will also take you on the same journey that the implementation team needs to follow for every reporting requirement that pops up: start with assessing a more standard option and only move on to a less standard option if the requirement cannot be fulfilled. In consecutive chapters, analytical apps delivered by SAP, apps created using Smart Business Services, and Analytical Queries developed either using tiles or in a Table of ContentsChapter 1: Before the Work Starts Chapter Goal: Miscellaneous intro topics. No of pages: 40 Sub -Topics 1. Business Intelligence: the art of enriching data 2. HANA changing the OLTP versus OLAP game 3. Cloud flavors: SaaS versus IaaS 4. The latest thing: CDS-views 5. Frontend: Fiori and UI5 6. SAP’s BI portfolio 7. S/4HANA and Embedded Analytics Chapter 2: No Work: Use What is Delivered Chapter Goal: S/4HANA comes with rich analytical apps that can be used immediately. This chapter focuses on the content delivered by SAP. No of pages: 20 Sub - Topics 1. Discover analytical apps 2. Activate them 3. Use them Chapter 3: Some Work: Smart Business Service Chapter Goal: S/4HANA has built-in functions for codeless creation of simple analytical apps. Target group of these functions are power users, but in practice functional (non-BI) consultants are most suitable to use this functionality. Functions are made available as a group of Fiori-tiles under the product name “Smart Business Service”. No of pages : 30 Sub - Topics: 1. Tiles “KPI Design”2. Tiles “Report Design”3. Tile “Analysis Path Framework Modeling”4. The end-result: again tilesChapter 4: More Work: Building Analytical Queries Using TilesChapter Goal: S/4HANA comes with tiles to create so-called “Analytical Queries” starting from SAP-delivered CDS-views. Analytical Queries are not static reports, but versatile, interactive queries on real-time data.For the SaaS version of S/4HANA, this is the only option to create Analytical Queries.No of pages: 40Sub - Topics: 1. Discovery of SAP-delivered CDS-views with tile “View Browser”2. Enriching CDS-views with tiles “Custom CDS Views”3. Building an Analytical Query with tile “Custom Analytical Query”4. Running the query with tile “Query Browser”5. How to navigate within an Analytical Query.6. Creating a dedicated tile for the query Chapter 5: Most Work: Building Analytical Queries in a Development EnvironmentChapter Goal: Starting from real-life business requirements, often the conclusion is reached that SAP-delivered CDS-views won’t do the trick. For a SaaS version of S/4HANA, the process following this conclusion is called “managing expectations”. For an on-premise version, a development environment can be applied. And then … the sky is the limit! Development can start not only from SAP-delivered CDS-views but also from tables.No of pages: 60Sub - Topics: 1. Layered approach towards the analytical query2. Data-integration3. “Cube-view”4. Analytical query5. Examples transaction data6. Examples master data7. Example: Replacing custom ABAP-report by analytical query8. Performance considerations; balance between performance and support-friendliness9. Access and data authorizationChapter 6: Extensibility, OData and BeyondChapter Goal: Miscellaneous outro topics related to Embedded AnalyticsNo of pages: 20Sub - Topics: 1. S/4HANA Extensibility2. OData and APIs3. Agile development and Devops 4. Ideal skill-set for an Embedded Analytics expert

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Book SynopsisSince the last edition ten years ago the pace of technological and legal change has stepped up even more than before with previous editions. New legislation is in force such as the General Data Protection Regulation (GDPR) and UK Data Protection Act 1998 and from 1 January 2021 "UKGDPR". The UK Information Commissioner has been looking closely at "Ad Tech" and what has become known as "big data" and how data are gathered on-line. Intellectual Property law in the ecommerce area has also changed. There is a very recently agreed new EU copyright directive which is due to be implemented in the 27 EU member states (but not the UK) in 2021. The post-Brexit transition period expired on 31 December 2020 which has implications for the application of ecommerce law in a number of different areas which are all addressed in the new addition. The 2010 EU vertical regulation and guidelines have recently been built on with the EU "geo-blocking" regulation and the related EU Commission's initiatives in relation to ecommerce in the anti-trust area. In 2020 the UK implemented changes in relation to EU law in the revised 2018 Audiovisual Media Services Directive (AVMS) through the Audiovisual Media Services Regulations 2020 which are addressed in the new edition as post-Brexit the UK is retaining this legislation. Other updates include the distance selling legislation in the Consumer Contracts (Information, Cancellation and Additional Charges) Regulations 2013 and the Consumer Rights Act 2015 which came into force since the last edition. This title is included in Bloomsbury Professional's Intellectual Property and IT online service.Table of ContentsChapter 1: Technological convergence Chapter 2: Digital rights Chapter 3: Brands Chapter 4: Data in a digital world Chapter 5: Digital marketing Chapter 6: User-generated content and social media Chapter 7: The Audiovisual Media Services Directive Chapter 8: Video-on-demand Chapter 9: Contracting Appendix 1 Information to be provided on the supplier’s website and prior to formation of a contract with a customer Appendix 2 Information to be provided in a ‘durable medium’ (eg an email or in permanent form online) Appendix 3 Wholly and partially exempt contracts Appendix 4 Execution of deeds Appendix 5 250 Model form for cancellation of distance contract Chapter 10: Jurisdiction and enforcement

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Book SynopsisBuilding and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address this concern, cutting-edge transfer learning techniques enable you to start with pretrained models you can tweak to meet your exact needs. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre takes you hands-on with customizing these open source resources for your own NLP architectures. You’ll learn how to use transfer learning to deliver state-of-the-art results even when working with limited label data, all while saving on training time and computational costs. about the technologyTransfer learning enables machine learning models to be initialized with existing prior knowledge. Initially pioneered in computer vision, transfer learning techniques have been revolutionising Natural Language Processing with big reductions in the training time and computation power needed for a model to start delivering results. Emerging pretrained language models such as ELMo and BERT have opened up new possibilities for NLP developers working in machine translation, semantic analysis, business analytics, and natural language generation. about the book Transfer Learning for Natural Language Processing is a practical primer to transfer learning techniques capable of delivering huge improvements to your NLP models. Written by DARPA researcher Paul Azunre, this practical book gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP. You’ll learn how to adapt existing state-of-the art models into real-world applications, including building a spam email classifier, a movie review sentiment analyzer, an automated fact checker, a question-answering system and a translation system for low-resource languages. what's inside Fine tuning pretrained models with new domain data Picking the right model to reduce resource usage Transfer learning for neural network architectures Foundations for exploring NLP academic literature about the readerFor machine learning engineers and data scientists with some experience in NLP. about the author Paul Azunre holds a PhD in Computer Science from MIT and has served as a Principal Investigator on several DARPA research programs. He founded Algorine Inc., a Research Lab dedicated to advancing AI/ML and identifying scenarios where they can have a significant social impact. Paul also co-founded Ghana NLP, an open source initiative focused using NLP and Transfer Learning with Ghanaian and other low-resource languages. He frequently contributes to major peer-reviewed international research journals and serves as a program committee member at top conferences in the field.

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Book SynopsisPandas has rapidly become one of Python's most popular data analysis libraries. With pandas you can efficiently sort, analyze, filter and munge almost any type of data. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. about the technologyAnyone who’s used spreadsheet software will find pandas familiar. While its column-based grids might remind you of Excel or Google Sheets, pandas is more flexible and far more powerful. It can efficiently perform operations on millions of rows and be used in tandem with other Python libraries for statistics, machine learning, and more. And best of all, using pandas doesn’t mean sacrificing user productivity or needing to write tons of complex code. It’s clean, intuitive, and fast. about the book Pandas in Action makes it easy to dive into Python-based data analysis. You’ll learn to use pandas to automate repetitive spreadsheet functionality and derive insight from data by sorting columns, filtering data subsets, and creating multi-leveled indices. Each chapter is a self-contained tutorial, letting you dip in when you need to troubleshoot tricky problems. Best of all, you won’t be learning from sterile or randomly created data. You’ll start with a variety of datasets that are big, small, incomplete, broken, and messy and learn how to clean and format them for proper analysis. what's inside Import a CSV, identify issues with its data structures, and convert it to the proper format Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Real-world datasets that are easy to download and explore about the readerFor readers experienced with spreadsheet software who know the basics of Python. about the author Boris Paskhaver is a software engineer, Agile consultant, and educator. His six programming courses on Udemy have amassed 236,000 students, with an average course rating of 4.59 out of 5. He first used Python and the pandas library to derive a variety of business insights at the world’s #1 jobs site, Indeed.com.Trade ReviewAn outstanding pandas reference for developers just starting to use pandas and/or Python for data analysis or data science.

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Book SynopsisPrivacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real world use cases forfacial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Large-scale scandals such as the Facebook Cambridge Analytic a data breach have made many users wary of sharing sensitive and personal information. Demand has surged among machine learning engineers for privacy-preserving techniques that can keep users private details secure without adversely affecting the performance of models.Trade Review“An interesting and well-structured book about an emerging discipline that will certainly keep growing in importance.” Alain Couniot “Gives a deep and thorough introduction into preserving privacy while using personal data for machine learning and data mining.” HaraldKuhn “Makes for a great introduction to privacy-preserving techniques whichmake full use of machine learning.” Aditya Kaushik “An interesting book under a rising hot topic: privacy. I like the way using examples and figures to illustrate concepts.” XiangboMao “The only book, that I am aware of, which goes into depths of data privacy while making sure it doesn't get boring for readers.” VishweshRavi Shrimali “An interesting book under a rising hot topic: privacy.” XiangboMao “A great resource to understand privacy preserving ML.” DhivyaSivasubramanian “A great book to getting a deep theoretical overview of the landscape of privacy preserving approaches while also getting hands-on pragmatic experience.”Stephen Oates

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Book SynopsisJeremy McDowell is a senior network engineer and an experienced teacher. His YouTube channel, Jeremy's IT Lab, has helped hundreds of thousands prepare for the CCNA.The technical editor on this book was Jeremy Cioara.

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Book SynopsisAmit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft.The technical editor on this book was Wee Hyong Tok.

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Book SynopsisNow in its third edition, this bestselling guide to TypeScript takes you through the nuts and bolts of the language. No frills, no fuss—just TypeScript essentials! TypeScript enhances JavaScript with static typing, while keeping all the JS flexibility you know and love! It's the perfect choice for any developer looking to improve the predictability and reliability of their code. Essential TypeScript 5, Third Edition teaches you how to get the most out of TypeScript 5 for a consistent, dependable development experience. Inside Essential TypeScript 5, Third Edition you'll learn how to: Configure the TypeScript development tools Use type annotations Create strongly typed functions and classes Use generic types Use type guards to determine types Create and consume type declaration files Use TypeScript to create web applications with Angular and React About the technology TypeScript is a popular superset of JavaScript that adds support for static typing. TypeScript's typing features, which will be instantly familiar to C# or Java programmers, help you reduce errors and improve the overall quality of your JavaScript code.

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Book SynopsisWriting computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT". In Learn AI-Assisted Python Programming: With GitHub Copilot you'll learn how to: Write fun and useful Python applications—no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With GitHub Copilot is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you'll pick up the essentials of Python programming and practice the higher-level thinking you'll need to create working apps for data science, automation, and even video games.

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Book SynopsisMarwan Alsabbagh is a seasoned software developer. He studied mathematics and computer science at McGill University, and is passionate about building projects using Python, microcontrollers, and robotics.

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Book SynopsisJohn Whitington, is the founder of a company which builds software for electronic document processing. He has studied and taught Computer Science at Queens College, Cambridge and has authored a number of computer science textbooks.

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Book SynopsisIkenna Nwaiwu is Principal Consultant at Ikenna Consulting, specializing in automating API governance.The technical editor on this book was Marjukka Niinioja.

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Book SynopsisCreate stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. In D3.js in Action, Third Edition you will learn how to: Set up a local development environment for D3 Include D3 in web development projects, including Node-based web apps Select and append DOM elements Size and position elements on screen Assemble components and layouts into creative data visualizations About the technology D3.js is the powerful JavaScript library behind the most innovative and sophisticated data visualizations on the web today. It provides a simple but powerful data visualization API over HTML, CSS, SVG, and Canvas. Start with a structure, dataset, or algorithm. Mix in D3, and you can programmatically generate static, animated, or interactive images that scale to any screen or browser. You'll be blown away by how beautiful your results can be!

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Book SynopsisDustin Metzgar is a seasoned developer and architect. At Microsoft, Dustin contributed to the .NET Framework, .NET Core, and the open sourcing of .NET.The technical editor on this book was Gerald Versluis.

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