Computing

'Fifteen years ago, the internet felt like a special place my friends and I had built for each other; by 2020, we were standing on its ruins, wondering if we'd played a part in its destruction.'Journalist Marie Le Conte was born in 1991, the same year the World Wide Web was invented. She had her first blog at twelve, a successful music website at fifteen, a Wikipedia page at seventeen and now, at thirty, over 80,000 followers on Twitter. From MSN, Tumblr and MySpace, to chat rooms, forums and blogs; Marie is part of the millennial generation that grew up while the internet was growing up with them.Where did it go all wrong? How did the internet go from a place where you went to escape real life to where real life is shaped? A place where you could be yourself and find like-minded people to a world of filters and ads? A place we are all now desperately trying to escape from?Escape is a fascinating exploration of the rise and demise of the internet. It's a look back on the platforms, the people and the online places. It's an analysis of the lessons being online has taught us, how the internet has changed us - and a celebration of the tools it gives us to feel less alone. The online generation have forever altered the world we live in, but is the internet still a place for the people that shaped it?

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Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computation Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization Use unsupervised learning with a deep learning autoencoder to regenerate sample data Understand the basics of reinforcement learning and the Q Learning equation Apply Q Learning to deep learning to produce deep reinforcement learning Optimize the loss function and network architecture of unsupervised autoencoders Make an evolutionary agent that can play an OpenAI Gym game Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python.

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If you work with embedded systems, you're bound to encounter the ubiquitous Inter-Integrated Circuit bus (IIC, I2C, or I2C) - a serial protocol for connecting integrated circuits in a computer system. In The Book of I2C, the first comprehensive guide to this bus, bestselling author Randall Hyde draws on 40 years of industry experience to get you started designing and programming I2C systems.

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A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.

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Stop dangerous threats and secure your vulnerabilities without slowing down delivery. This practical book is a one-stop guide to implementing a robust application security program.Application Security Program Handbook teaches you to implement a robust program of security throughout your development process. It goes well beyond the basics, detailing a flexible approach that can adapt and evolve to new and emerging threats. Follow the expert advice in this guide and you'll reliably deliver software that is free from security defects and critical vulnerabilities. As a developer, you must build security into your software throughout its development lifecycle. This book addresses all the practices, tools, technology, people, and processes you need to reduce the risk of attacks and vulnerabilities in your software. Application Security Program Handbook is full of strategies for setting up and maturing a security program for your development process. Its realistic recommendations take a service-oriented approach to application security that's perfectly suited to the fast-pace of modern development. Focused on the realities of software development, it shows you how to avoid making security a gated exercise.Inside, you'll learn to assess the current state of your app's security, identify key risks to your organization, and measure the success of any defensive programs you deploy. You'll master common methodologies and practices that help safeguard your software, along with defensive tools you can use to keep your apps safe. With this handy reference guide by your side, you'll be able to implement reliable security in a way that doesn't impact your delivery speed. RETAIL SELLING POINTS Application security tools you can use throughout the development lifecycle Creating threat models Mitigating web app vulnerabilities Creating a DevSecOps pipeline Application security as a service model Reporting structures that highlight the value of application security Creating a software security ecosystem that benefits development AUDIENCE For software developers, architects, team leaders, and project managers looking to implement security in their pipelines.

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What will you learn from this book? Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer. You’ll learn everything from language fundamentals to collections, generics, lambdas, and higher-order functions. Along the way, you’ll get to play with both object-oriented and functional programming. If you want to really understand Kotlin, this is the book for you. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Kotlin uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.

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In 2016, Google’s Site Reliability Engineering book ignited an industry discussion on what it means to run production services today—and why reliability considerations are fundamental to service design. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment. This new workbook not only combines practical examples from Google’s experiences, but also provides case studies from Google’s Cloud Platform customers who underwent this journey. Evernote, The Home Depot, The New York Times, and other companies outline hard-won experiences of what worked for them and what didn’t. Dive into this workbook and learn how to flesh out your own SRE practice, no matter what size your company is. You’ll learn: How to run reliable services in environments you don’t completely control—like cloud Practical applications of how to create, monitor, and run your services via Service Level Objectives How to convert existing ops teams to SRE—including how to dig out of operational overload Methods for starting SRE from either greenfield or brownfield

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Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems

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Prepare for Microsoft Exam DP-900 Demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Focus on the expertise measured by these objectives: Describe core data concepts Describe how to work with relational data on Azure Describe how to work with non-relational data on Azure Describe an analytics workload on Azure This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and are beginning to work with data in the cloud About the Exam Exam DP-900 focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads. See full details at: www.microsoft.com/learn

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Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production

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Turn the corner from “Haskell student” to “Haskell developer.” Haskell in Depth explores the important language features and programming skills you’ll need to build production-quality software using Haskell. And along the way, you’ll pick up some interesting insights into why Haskell looks and works the way it does. Get ready to go deep! Haskell in Depth is the perfect second book on Haskell. After a quick refresher on Haskell basics, this hands-on guide dives into examples and application scenarios designed to teach how Haskell works and how to apply it correctly. You’ll learn about managing projects with Cabal and Stack, tackle error-handling and testing, and package programs and libraries for production deployment. Key Features · Organizing your projects with Cabal and Stack · Testing and profiling · Working with data · Building web services and networking apps · Using the sophisticated libraries like lens, vinyl, and servant Written for developers familiar with Haskell basics. About the technology As software becomes more complex, it’s essential to program efficiently using tools and techniques that guarantee your applications will run correctly, grow easily, and last a long time. Haskell is a functional programming language that blends a mathematically-rigorous approach to software design with a tested ecosystem of tools and libraries you can use to build deployable applications. Since 2008, Vitaly Bragilevsky has been teaching Haskell and functional programming to undergraduate students at the Southern Federal University located in Rostov-on-Don, Russia. He is a member of the Haskell 2020 Committee, and has worked on the source code of the Glasgow Haskell Compiler (GHC) and the Idris compiler, both of which are implemented in Haskell.

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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

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Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python - working with leading open-source toolkits and standard datasets - give the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects.

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This book is an easy, hands-on introduction to the creation of web applications from the ground up. Each chapter covers a particular part of an application, introducing you to modern techniques and architectural patterns for achieving it - with a practical focus on the most popular tools, libraries, and frameworks used by today''s full-stack developers. You''ll learn to build an entire application from start to finish, from creating a Node.js server, to developing a front-end interface with React.js components and Next.js pages. You''ll then expand your web application by writing REST and GraphQL APIs, implementing middleware, and connecting your application to a MongoDB database on the back end. Finally, you''ll learn how to add OAuth authorization to your application, write automated tests with Jest, and deploy your project as microservices using Docker.You''ll learn:Contemporary best practices, like the use of a microservice architecture and test-driven development techniques, essen

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From Jordan Belfort, author of The Way of the Wolf and subject of the hit movie The Wolf of Wall Street, comes his long-anticipated guide for mastering the stock market. The Wolf of Investing teaches you when to buy, sell, hold, and cash out; how to make smarter (and safer) investments; and how to build significant wealth over both the short- and long-term. Unlike traditional investment books, each page of Jordan's lessons, colorful stories, and principles entertains you with the charismatic swagger portrayed so famously on the silver screen by Leonardo DiCaprio.When Belfort's brother-in-law, Fernando, lost nearly $100,000 dollars in investments in under sixty days, Jordan sat him down for some tough love. Using the financial acumen and insider's knowledge he learned during his time working on Wall Street, Jordan taught Fernando how to turn his portfolio around. Along the way, he explained which decisions were bad and why, as well as how to pivot from failure to success.Belfort teaches you everything you need to know about savvy investing-even if, like Fernando, whatever stock you've touched has turned to yesterday's trash. As you read this guide, you will not only learn life's most profitable lessons, but you'll also laugh out loud at Belfort's brazen honesty and salty wit. After being enraged by watching big banks steal money from individual investors, and determined to right the wrongs of his own infamous past, Belfort now shows regular investors how we can use Wall Street to our advantage.Whether you're new to investing or want to take your portfolio to the next level, you will learn everything Belfort knows about the stock market from The Wolf of Investing.

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The newest addition to our Influential Video Game Designers series explores the work of Todd Howard, executive producer at Bethesda Studios, known for how he consistently pushes the boundaries of open-world gaming and player agency. Howard’s games create worlds in which players can design their own characters and tell their own stories. While many games tell the story of the game’s main character, Todd Howard’s worldbuilding approach to game design focuses more on telling the story of the game’s world, whether it be the high fantasy environments of the Elder Scrolls series or the post-apocalyptic wasteland of the Fallout series. This focus on sculpting the world allows for remarkable amounts of player freedom and choice in an expansive game environment by creating a landscape rich with open opportunity. Drawing on both academic discussions of narrative, world design, and game design, as well as on officially released interviews, speeches, and presentations given by Howard and other designers at Bethesda Games, Wendi Sierra highlights three core areas set Howard’s design perspective apart from other designers: micronarratives, iterative design, and the sharing of design tools. Taken as a whole, these three elements demonstrate how Howard has used a worldbuilding perspective to shape his games. In doing so, he has impacted not only Bethesda Studios, but also the landscape of game design itself.

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DIRECTING, DIALOGUE AND ACTINGFrom Richard Williams' The Animator's Survival Kit comes key chapters in mini form.The Animator's Survival Kit is the essential tool for animators. However, sometimes you don't want to carry the hefty expanded edition around with you to your college or studio if you're working on just one aspect of it that day.The Animation Minis take some of the most essential chapters and make them available in smaller, lightweight, hand-bag/backpack size versions. Easy to carry. Easy to study.This Mini focuses on Directing, Dialogue and Acting.As a director, whatever your idea is, you want to put it over, so the main thing with directing is to be clear - very clear. The Director's job is to hold everything together so that the animator can give the performance. Richard Williams shows how that performance can be achieved with flexibility and contrast. With Acting and Dialogue, the temptation is to try to do everything at once - Williams' advice: do one thing at a time.

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Trust the best-selling Official Cert Guide series from Cisco Press to help you learn, prepare, and practice for exam success. They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam. Cisco Certified DevNet Associate DEVASC 200-901 Official Cert Guide presents you with an organized test preparation routine using proven series elements and techniques. Do I Know This Already? quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Master Cisco Certified DevNet Associate DEVASC 200-901 exam topics Assess your knowledge with chapter-opening quizzes Review key concepts with exam preparation tasks Practice with realistic exam questions in the practice

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In this fully updated and new edition, you’ll get hands-on practice with the basics, including setting up cloud-based virtual machines, deploying web servers, and using hosted data stores. As you work through the book’s 21 carefully planned lessons, you’ll explore big-picture concerns like security, scaling, and automation. Learn Azure in a Month of Lunches, Second Edition teaches you the most important skills you’ll need to write, deploy, and run cloud-based applications in Azure. Key Features · Understand Azure beyond point-and-click processes · Getting started, from your first login · Writing and deploying web servers · Securing your applications and dana · Automating your environment Readers should be able to write and deploy simple web or client/server applications. About the technology With hundreds of features and prebuilt services, the Microsoft Azure cloud platform is vast and powerful. To get started, you need a trustworthy guide. In this hands-on book, Microsoft engineer and Azure trainer Iain Foulds focuses on the core skills you need to create and maintain cloud-based applications. Iain Foulds is an engineer and senior content developer with Microsoft.

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Rust is a new systems programming language that gives you the low-level power of C with the elegance and ease of languages like Ruby and Python. Rust is thread safe, enabling "fearless concurrency". Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. · Concurrent and parallel programming Sharing resources with locks or atomic operations Avoiding programming with global state Message passing inside your applications Memory management and garbage collection Readers need intermediate programming skills and familiarity with general computer science concepts, the command line, and networking.

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In this third edition of the best selling How Linux Works, author Brian Ward peels back the layers of this well-loved operating system to make Linux internals accessible. Readers learn how Linux boots, how the kernel manages devices and device drivers, and how processes, networking, interfaces, firewalls, and servers work. They also learn how Linux-based development tools work, how to use shared libraries, and how to write effective shell scripts. This edition has been thoroughly updated and expanded with added coverage of Logical Volume Manager (LVM), virtualisation, and containers.

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'A fitting tribute to gaming’s Hall of Fame.' – Esquire As seen in Vanity Fair, Axios Gaming, Esquire, and Polygon An A to Z of video games – 300 entries showcasing the most influential and celebrated games, consoles, publishers, and more A visual history of all things video games, this book will provide the reader with an overview of the gaming industry, from the very first game created around the mid-twentieth century, right through to the present day. Particular focus is given to advances within the industry during this time, such as new technologies, innovative gameplay, never-before-seen graphics, and design. An introduction by Simon Parkin provides an overview of gaming history, and exploring how iconic games have pushed the boundaries of the medium and 300 entries, hand picked by a panel of industry experts, showcase the most influential and celebrated games, consoles, publishers, and more. Each entry is accompanied by text informing the reader about the game and its history, its place in wider popular culture, and including useful information and facts, with exciting and sometimes unexpected pairings provided by the A to Z organisation. A glossary of key words and select biographies of influential creators and developers provides more context and a system of icons and infographics allows readers to see the connections between the book’s 300 entries. Wider gaming culture, and how it has grown from a niche hobby to a worldwide phenomenon, influencing popular culture, is also explored, making this the widest ranging survey of games and gaming available today.

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Prepare for Microsoft Exam MS-102 and help demonstrate your real-world mastery of skills and knowledge required to deploy and manage Microsoft 365 and perform Microsoft 365 tenant-level implementation and administration of cloud and hybrid environments. Designed for administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level. Focus on the expertise measured by these objectives: Deploy and manage a Microsoft 365 tenant Implement and manage identity and access in Microsoft Entra Manage security and threats by using Microsoft 365 Defender Manage compliance by using Microsoft Purview This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with Microsoft 365 workloads and a working knowledge of networking, server administration, DNS, and PowerShell About the Exam Exam MS-102 focuses on the knowledge needed to implement and manage Microsoft 365 tenants; manage users, groups, and Microsoft 365 roles; implement and manage Microsoft Entra identity synchronization, authentication, and secure access; manage security reports and alerts with Microsoft 365 Defender portal; implement and manage email, collaboration, and endpoint protection with Microsoft Defender; and implement Microsoft Purview information protection, data lifecycles, and data loss prevention (DLP). About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Administrator Expert credential, demonstrating that you have expert-level skills in evaluating, planning, migrating, deploying, and managing Microsoft 365 in environments and organizations of all sizes. See full details at: microsoft.com/learn

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Data, perilous and powerful, is both a worldmaking and a dismantling force. The collection of data about queer lives and bodies, the consequences of data analysis for queer subjects, and considerations of privacy and consent often present ethical dilemmas even as queer data expands our understanding of who and what counts. The need for queer analyses and perspectives has taken on a new sense of urgency in light of hostile antiqueer policies by major technology companies, the security theater of airports, the disproportionate rates of policing queer people and people of color, digital surveillance in border security, and the proliferation of digital health records. Gathering wide-ranging interdisciplinary conversations into one rich volume, Queer Data Studies challenges readers to rethink how the extraction, circulation, modeling, governance, and use of data affects queer subjects and, at the same time, to consider how the power of data might be harnessed in the service of queer ethics. Contributors take a capacious approach to data, drawing from a range of sources, including stories, sounds, medical data, police data, maps, and algorithmic modeling. This anthology engages intersectional, decolonial, feminist, queer, and trans research, advancing ongoing dialogues about data across the social sciences, humanities, and applied sciences.

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Vulnerabilities in software and IT infrastructure pose a major threat to organizations. In response, the Cloud Native Computing Foundation (CNCF) developed the Certified Kubernetes Security Specialist (CKS) certification to verify an administrator's proficiency to protect Kubernetes clusters and the cloud native software they contain. This practical book helps you fully prepare for the certification exam by walking you through all of the topics covered. Different from typical multiple-choice formats used by other certifications, this performance-based exam requires deep knowledge of the tasks it covers under intense time pressure. If you want to pass the CKS exam on the first go, author Benjamin Muschko shares his personal experience to help you learn the objectives, abilities, and tips and tricks you need to pass on the first attempt. Identify, mitigate, and/or minimize threats to cloud native applications and Kubernetes clusters Learn the ins and outs of Kubernetes's security features, and external tools for security detection and mitigation purposes Demonstrate competency to perform the responsibilities of a Kubernetes administrator or application developer with a security viewpoint Solve real-world Kubernetes problems in a hands-on, command-line environment Effectively navigate and solve questions during the CKS exam

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Exam Board: SQA Level: Higher Subject: Graphic Communication First Teaching: 2018, First Exam: 2019 The Higher Graphic Communication Course Notes helps teachers and students map their route through the CfE programme, providing comprehensive and authoritative guidance for the course. Full coverage of the new Higher course specifications with list of learning intentions Attractive layout with clear text features Key questions highlight crucial concepts and techniques that need to be grasped by students in order to progress to the next learning intention What the examiner/assessor is looking for to help teachers & students feel secure End of unit material – unit assessment, exam-style questions with worked answers and examiners commentary, self-assessment Course Notes give a practical, supportive approach to help deliver the new curriculum and offer a blend of sound teaching and learning with assessment guidance

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Following on from the previously released NES Encyclopedia, the SNES Encyclopedia is the ultimate resource for fans of Nintendo's second home video game console, the Super Nintendo Entertainment System. Containing detailed information on all 780 games released for the SNES in the west, this enormous book is full of screenshots, trivia and charmingly bad jokes. It also includes a bonus section covering the entire 22-game library of the Virtual Boy, Nintendo's ill-fated 3D system which was released at the end of the SNES's life.

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Raspberry Pi is a small, clever, British-built computer that's packed with potential. Made using a desktop-class, energy-efficient processor, Raspberry Pi is designed to help you learn coding, discover how computers work, and build your own amazing things. This book was written to show you just how easy it is to get started. Learn how to set up your Raspberry Pi, install its operating system, and start using this fully functional computer. Start coding projects, with step-by-step guides using the Scratch 3, Python, and MicroPython programming languages. Experiment with connecting electronic components, and have fun creating amazing projects. This revised edition is updated for the latest Raspberry Pi computers: Raspberry Pi 5 and Raspberry Pi Zero 2 W as well as the latest Raspberry Pi OS. It also includes a new chapter on the Raspberry Pi Pico!

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Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, Weights & Biases, and Kafka. You'll learn: The data essential for building a RecSys How to frame your data and business as a RecSys problem Ways to evaluate models appropriate for your system Methods to implement, train, test, and deploy the model you choose Metrics you need to track to ensure your system is working as planned How to improve your system as you learn more about your users, products, and business case

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What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to include Laravel 10, the third edition of this practical guide provides the definitive introduction to one of today's most popular web frameworks. Matt Stauffer, a leading teacher and developer in the Laravel community, delivers a high-level overview and concrete examples to help experienced PHP web developers get started with this framework right away. This updated edition covers the entirely new auth and frontend tooling and other first-party tools introduced since the second edition. Dive into features, including: Blade, Laravel's powerful custom templating tool Tools for gathering, validating, normalizing, and filtering user-provided data The Eloquent ORM for working with application databases The Illuminate request object and its role in the application lifecycle PHPUnit, Mockery, and Dusk for testing your PHP code Tools for writing JSON and RESTful APIs Interfaces for filesystem access, sessions, cookies, caches, and search Tools for implementing queues, jobs, events, and WebSocket event publishing Specialty packages including Scout, Passport, Cashier, and more

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Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success.This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations.What You Will Learn Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is ForData warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge

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From Amps to Apps: How Computers Work takes an informal approach to topics often reserved for textbooks. Each chapter covers one foundational aspect of computing. Exercises and hands-on activities throughout are designed to help the reader learn. Exercises mostly involve mental problem solving, while hands-on activities require the reader to actually try various aspects of computing: building a circuit, writing software, and so forth.

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An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alo

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While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies

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The fastest, easiest, most comprehensive way to learn Adobe Illustrator Adobe Illustrator Classroom in a Book 2024 Release contains 17 lessons that use real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to: Create artwork, from precise drawings to stylistic paintings Explore Generative AI to create vector artwork Make logos, illustrations, posters, podcast covers, flyers, and more Explore selections, text, shapes, and color Progress to freeform gradients and layers Work with dynamic symbols, brushes, and creative effects Create product mockups Efficiently export assets and share for review Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does-an official training series from Adobe, developed with the support of Adobe product experts.Purchasing this book includes valuable online extras. Follow the instructions in the book's "Getting Started" section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe Illustrator 2024 Release software, for either Windows or macOS. (Software not included.)

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By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack. Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. You’ll learn to integrate web applications made up of smaller fragments using tools such as web components or server side includes, how to solve the organizational challenges of micro frontends, and how to create a design system that ensures an end user gets a consistent look and feel for your application. Key Features · Applying integration strategies with iframes, AJAX, server-side includes, web components and the app-shell approach · Optimizing for performance and asset delivery strategies · Designing coherent user interfaces · Migrating to a micro frontends architecture For intermediate web developers, team leaders, and software architects. About the technology The micro frontends approach extends the principles of microservices to frontend development. The application is divided into multiple independent vertical slices–from the database right up to the UI–then integrated using standards such as web components into a single user-facing frontend. Thanks to the smaller scope of a micro frontend, teams can deliver features faster, upgrade more easily, and make their own choices about their technology stack. Michael Geers is a software developer specializing in building user interfaces. He has written software for the web since he was a teenager. In the last few years, he has worked on various customer projects with verticalized architectures. He shares his experiences on this topic at international conferences, in a series of magazine articles, and website.

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In Network Programming with Go readers learn how to leverage Go's concurrency and rich standard library to write robust network programs to create and handle network connections. Difficult concepts are explained with analogies, diagrammes, and examples as readers learn to solve common networking problems and write secure software. For professional developers and experienced Go programmers.

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If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight into today's cloud engineering role. These concise articles explore the entire cloud computing experience, including fundamentals, architecture, and migration. You'll delve into security and compliance, operations and reliability, and software development. And examine networking, organizational culture, and more. You're sure to find 1, 2, or 97 things that inspire you to dig deeper and expand your own career. "Three Keys to Making the Right Multi-Cloud Decisions," Brendan O'Leary "Serverless Bad Practices," Manases Jesus Galindo Bello "Failing a Cloud Migration," Lee Atchison "Treat Your Cloud Environment as If It Were On-Premises," Iyana Garry "What Is Toil, and Why Are SREs Obsessed with It?", Zachary Nickens "Lean QA: The QA Evolving in the DevOps World," Theresa Neate "How Economies of Scale Work in the Cloud," Jon Moore "The Cloud Is Not About the Cloud," Ken Corless "Data Gravity: The Importance of Data Management in the Cloud," Geoff Hughes "Even in the Cloud, the Network Is the Foundation," David Murray "Cloud Engineering Is About Culture, Not Containers," Holly Cummins

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