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Durable and waterproof, with a handy slipcase and an easy-fold format, Lonely Planet's New Zealand South Island Planning Map is your essential navigation tool. This full-colour map features accompanying images and information about top attractions, itinerary suggestions, a transport guide, themed lists and practical travel tips.Durable and waterproofEasy-fold format and convenient sizeHandy slipcaseFull colour and easy to useBefore-you-go infoBeautiful imageryTailored itinerariesCan't-miss regional highlightsDetailed town indexTransport plannerThemed listsCovers: New Zealand's South IslandLooking for more extensive coverage? Check out Lonely Planet New Zealand's South Island, our most comprehensive guidebook detailing the South Island, covering the top sights and most authentic offbeat experiences. Or check out Lonely Planet'sExperience New Zealand, a concise visual guide highlighting the top experiences across the country.About Lonely Planet:Lonely Planet, a Red Ventures Company, is the world's number one travel guidebook brand. Providing both inspiring and trustworthy information for every kind of traveller since 1973, Lonely Planet reaches hundreds of millions of travellers each year online and in print and helps them unlock amazing experiences. Visit us at lonelyplanet.com and join our community of followers on Facebook (facebook.com/lonelyplanet), Twitter (@lonelyplanet), Instagram (instagram.com/lonelyplanet), and TikTok (@lonelyplanet).'Lonely Planet. It's on everyone's bookshelves; it's in every traveller's hands. It's on mobile phones. It's on the Internet. It's everywhere, and it's telling entire generations of people how to travel the world.' Fairfax Media (Australia) Autorid: Lonely Planet

Discover twice the city in half the time as Lonely Planet's local travel experts reveal all you need to know to plan the ultimate short trip to Rio de Janeiro. This latest edition uncovers the city's most popular experiences and unexpected surprises from escaping the crowds with a swim in one of the freshwater waterfalls in Horto; to dancing the night away at Vaca Atolada, a low-ceiling sweatbox samba club in Lapa; and hopping on a ferry to Ilha de Paquetá, an island paradise where motorized vehicles aren't allowed. Build a trip to remember with Lonely Planet's Pocket Rio de Janeiro travel guide: Our Pocket guidebook format contains the best insider knowledge for planning trips between 1 - 7 days All-new structure and design that's easy to use so you can navigate Rio de Janeiro effortlessly Exciting 'Three Perfect Days' itineraries that are packed with unmissable attractions and activities Eat, drink and shop like a local with extensive listings of the top restaurants, bars, markets and street vendors Vibrant photography and maps including a pull-out map of Rio de Janeiro Explore on foot! Walking tours in every chapter introduce each area's personality and unique experiences Get fresh takes on must-visit sights from Cristo Redentor, Ipanema Beach and Sítio Burle Marx Essential information toolkit containing tips on arriving, navigating transport confidently, local etiquette, using money, LGBTIQ+ travel advice, useful words and phrases, accessibility and responsible travel Covers: Gávea, Jardim Botânico & Lagoa; Ipanema & Leblon; Copacabana & Leme; Botafogo, Urca & Humaitá; Flamengo, Laranjeiras, Catete & Glória; Santa Teresa & Lapa; Centro & Zona Norte; Zona Oeste Get straight to the heart of this extraordinary destination and hit the ground running with Lonely Planet's Pocket Rio de Janeiro. Autorid: Lonely Planet, Marisa Megan Paska

In this book, Tal Ben-Shahar introduces a new interdisciplinary field of study that is dedicated to exploring happiness. The study of happiness ought not be left to psychologists alone. Philosophers, theologians, biologists, economists, and scholars from other disciplines have explored ways of attaining happiness, and to do justice to this important pursuit, we ought to listen to their words and experiment with their prescriptions. Not only does the field of happiness studies embrace different disciplines, it also approaches happiness as a multifaceted and multidimensional variable that includes five parts which form the acronym SPIRE:Spiritual wellbeingPhysical wellbeingIntellectual wellbeingRelational wellbeingEmotional wellbeingThis book addresses each of these elements of happiness, explains them, and addresses practical ways for their cultivation. Autorid: Tal Ben-Shahar

Space is one of the fastest growing military, government and industry sectors. Because everything in todays world exists within or connected to cyberspace, there is a dire need to ensure cybersecurity is addressed in the burgeoning field of space operations. This revised and expanded edition will prime the reader with the knowledge needed to understand the unique challenges to space operations which affect the implementation of cybersecurity. Further, the reader will have foundational knowledge on what impacts cyber threats can have on space systems and how cybersecurity must rise to meet them. The author, who spent years in the United States Marine Corps, originally involved in satellite communications is now a seasoned cyber security practitioner who has provided cyber security vision and strategy to a large portfolio of systems and programs, many focused specifically in space. A published academic and experienced professional, he brings a practical, real-world and tempered approach to securing the final frontier. What You Will Learn Basic concepts of how different space vehicles operate in general. How such systems and their components integrate into cyberspace. A clear picture of the potential damage available via cyber-attacks to such systems. Basic efforts to mitigate such cyber threats will be presented through the various portions of space operations. Foundational issues at the intersection of the space and cyber domains Who This Book Is For This book is written for anyone curious about warfare in the era of cyber everything, those involved in cyber operations and cyber warfare, as well as security practitioners and policy or decision makers who are on the sending or receiving end of such activity. Autorid: Jacob G. Oakley

Master the art of data transformation with the second edition of this trusted guide to dbt.Building on the foundation of the first edition, this updated volume offers a deeper, more comprehensive exploration of dbt’s capabilities—whether you're new to the tool or looking to sharpen your skills. It dives into the latest features and techniques, equipping you with the tools to create scalable, maintainable, and production-ready data transformation pipelines.Unlocking dbt, Second Edition introduces key advancements, including the semantic layer, which allows you to define and manage metrics at scale, and dbt Mesh, empowering organizations to orchestrate decentralized data workflows with confidence. You’ll also explore more advanced testing capabilities, expanded CI/CD and deployment strategies, and enhancements in documentation—such as the newly introduced dbt Catalog.As in the first edition, you’ll learn how to harness dbt’s power to transform raw data into actionable insights, while incorporating software engineering best practices like code reusability, version control, and automated testing. From configuring projects with the dbt Platform or open source dbt to mastering advanced transformations using SQL and Jinja, this book provides everything you need to tackle real-world challenges effectively.What You Will Learn - Understand dbt and its role in the modern data stack - Set up projects using both the cloud-hosted dbt Platform and open source project - Connect dbt projects to cloud data warehousesBuild scalable models in SQL and Python - Configure development, testing, and production environments - Capture reusable logic with Jinja macros - Incorporate version control with your data transformation code - Seamlessly connect your projects using dbt Mesh - Build and manage a semantic layer using dbt - Deploy dbt using CI/CD best practicesWho This Book Is ForCurrent and aspiring data professionals, including architects, developers, analysts, engineers, data scientists, and consultants who are beginning the journey of using dbt as part of their data pipeline’s transformation layer. Readers should have a foundational knowledge of writing basic SQL statements, development best practices, and working with data in an analytical context such as a data warehouse. Autorid: Dustin Dorsey, Cameron Cyr

Learn how to bring Generative AI applications to life, from conception to production, ensuring they deliver true business value. Follow Dr. Anya’s story as she implements AI in day-to-day business solutions, immersing you in the real challenges of AI-based product development and deployment. Through her journey and notes, you will experience a wide range of challenges and solutions firsthand, demonstrating how AI can be translated into compelling business cases, efficient technical architectures, and innovative applications.The book begins with you understanding the AI Value Compass – a strategic framework that will provide you with a structure for AI implementation. It then dives into AI-led innovation and how you can extract the most valuable and interesting ideas from the waves of creative thinking that emerges from your organization. It also addresses AI literacy, helping you guide your teams in using AI to tackle the most pressing business challenges. Next, you will find a roadmap for creating a Proof of Concept for your AI application that don’t become outdated before review, showing how to build solutions that deliver value rapidly and efficiently. The journey continues as Dr. Anya guides you from a POC to production, teaching how to scale Generative AI applications for enterprise deployment. The book then tackles governance, security, and ethics - all of which are crucial aspects for implementing AI responsibly and sustainably. The final chapter explores the next wave of AI, introducing you to the era of AI agents. This book, by providing a comprehensive guide that combines practical advice, ethical considerations, and an incredibly engaging narrative, aims to equip you with the knowledge and tools you will need to successfully implement Generative AI projects that deliver real business value.What You Will Learn:How to identify and prioritize valuable generative AI use cases that help organizations create a path to valueTechniques for developing effective POCs and transitioning to full-scale production , including architectural considerations for enterprise readinessEssential ethical considerations in AI-based solution development and strategies to prevent misuseSelect, fine-tune and integrate AI models and avoid common pitfallsWho is this book for: Professionals involved in AI product development and deployment, including developers, architects, project managers, business analysts, and CXOs. Autorid: Jaydeep Chakrabarty, Harinee Muralinath

Harness the power of AI through Microsoft’s Azure platform, AI Foundry. Azure AI Foundry includes a versatile and powerful suite of tools designed to cater to the needs of developers, data scientists, and organizations aiming to leverage AI for transformative outcomes.This book demystifies the Azure AI Foundry ecosystem by offering a comprehensive overview of its foundational concepts, tools, and services. The book begins with an overview of generative AI, detailing its concepts, architecture, and differences from traditional AI. You will then learn Azure AI Foundry Prompt Flow, covering its features, setup, and navigation. In addition, you will explore how to create, debug Prompt Flow, and build intelligent multi-modal AI applications. You will also understand responsible AI and governance with AI Foundry.After reading this book, you will understand how to utilize Azure’s AI tools to create impactful solutions that can drive efficiency, enhance decision making, and unlock new opportunities in your field.What You Will Learn:Get up to speed on the fundamentals of generative AIUnderstand the essential components of Azure AI Foundry, including Prompt Flow, multi-modal applicatios, and other key tools for building intellgent applicationsIntegrate AI capabilities into existing systems and workflowsKnow the latest trends and innovations in AI and how Azure AI Foundry can be used to drive cutting-edge solutions across various industriesManage security and governance of your AI application with AI Foundry Who This Book Is ForData professionals, AI enthusiasts, enterprise leaders, and aspiring data scientists keen on exploring Azure AI Foundry Autorid: Sagar Lad

A perennial self-help favorite, updated to speak powerfully to contemporary readers and with a foreword by Eckhart Tolle Before there was The Law of Attraction or The Secret, there was The Magic in Your Mind by U. S. Andersen. Eckhart Tolle recognized the brilliance of this self-empowerment classic and here presents it anew as the latest volume in his imprint. In clear, crisp, invigorating language, Andersen offers a liberating message for anyone seeking to improve and understand their life. He shows how to: • free your “Secret Self” and experience self-mastery • use mental visualization • understand the concept of “mind over matter” • fully employ your power of choice • overcome opposition with tools such as the innate sixth sense Andersen outlines a “mental magic” that makes it possible to attain goals in any field — one made evident by his own many successes in a variety of enterprises. “Here,” he promises, “you will learn the secret way in which your mind is tied to the source of all power; you will learn how you are capable of becoming anything and doing anything you can visualize.” An essential addition to any spirituality/self-help bookshelf or night table, The Magic in Your Mind invites you to experience your innate creative mental power that’s just waiting to be unleashed. “Open randomly to any page, start reading, and you most likely won’t want to put it down. As with all spiritual classics, this will be the case even if you have already read the book several times.” — from the foreword by Eckhart Tolle, bestselling author of The Power of Now Autorid: U.S. Andersen, Eckhart Tolle

A wide-ranging collection of insights from legendary mythologist Joseph Campbell sourced from rare and previously unpublished interviews What would you ask Joseph Campbell if you had the chance? Comparative mythology was an obscure academic subject until Joseph Campbell published The Hero with a Thousand Faces in 1949. With that groundbreaking study, Campbell moved mythology out of the halls of academia and into mainstream America. He conclusively demonstrated that all myths, regardless of culture, have a fundamental unity. Readers responded enthusiastically to his message, and an entire generation of psychologists, artists, musicians, and creative writers found inspiration in his work. In addition to writing prolifically, Campbell gave thousands of lectures and many interviews throughout his long life. Myth and Meaning compiles some of Campbell’s most thoughtful responses to an array of interviewers, including audience members at various seminars, the historian Studs Terkel, and journalists from publications such as Time, Esquire, and Psychology Today. The informal question-and-answer format allows readers to witness Campbell’s charm, humor, and effortless command of the subject matter. Divided into chapters by theme, the dialogues in the book address a wide range of questions, including: • Where do myths come from? • How did Campbell discover the timeless pattern of the Hero’s Journey? • Can our politically fractured, multicultural society find a set of common myths to live by? • How did Campbell’s life story influence his scholarship? In every conversation, Campbell emphasizes the universal aspects of human experience and finds striking parallels between cultures separated by time and distance. Longtime fans of Campbell will gain a deeper appreciation of the man and his legacy, while new readers will receive a memorable introduction to a thinker who revolutionized our understanding of human nature. Autorid: Joseph Campbell

A fiery new beginning as the nature of life itself is rewritten and Jessica Harrow must confront her destiny as a Reaper!Annabel’s deal has sent ripples through all 3 planes of existence–merging life, death, and the afterlife. While Annabel is primed to bring Hell on Earth, Jess isn’t about to let that happen, and with the help of Eddie and Marcel, she’ll do what she must to prevent the worst from happening. But whose side is Adira on, and will anything make her worthy of forgiveness in Jess’ eyes? The worst of it is, Annabel doesn’t understand the gravity of the deal she’s made, and what she’s about to release. Everything will fall. Nothing in all of existence is safe. Beloved creators Stephanie Phillips (Harley Quinn) and Flaviano (Void Rivals) take Grim to a fresh new hell, revealing thrilling secrets that fans have been waiting to see unveiled! Collects Grim #16-20. Autorid: Stephanie Phillips

A fun, accessible reference guide for dog lovers from an ecology and evolutionary biology professor answers questions and explores a wide range of dog behaviors offering tips and advice on dog care, dog cognition and emotions and people-dog relationships. Original. "An easy-to-read A-to-Z guide of 'all things dog.' The book largely focuses on dog behavior - what dogs do and why they do it - in order to help readers understand, appreciate, and peacefully coexist with dogs"-- An all-encompassing and fun reference from an award-winning scientist and dog lover Dr. Marc Bekoff is an expert at turning cutting-edge science into practical, reader-friendly information. The encyclopedic entries in this book cover everything related to dog care, dog-human relationships, and dog behavior, cognition, and emotions, making this the accessible book that every dog lover should have. In concise, readable A-through-Z entries, Bekoff covers it all, from aggression to pack formation to zoomies, and explores why dogs do what they do; exactly how to meet any dog eye-to-eye, nose-to-nose, and ear-to-ear to understand their world better; and how tuning in to a dog’s unique personality leads to happier dogs and happier human companions. Autorid: Marc Bekoff, Jane Goodall

Prepare for an exciting journey into the world of Vue.js. Organized into six days of learning Vue.js, this book will guide you through the key concepts needed to become a proficient developer with this versatile framework. Backed by clear explanations, concrete examples, hands-on exercises, and development tips, youll examine the main ingredients needed to build web user interfaces. From creating components to handling events, delving into HTTP requests, and custom directives, each day promises a new skill and practical knowledge that you can immediately apply to your projects. Whether it's for creating professional web applications or simply expanding your horizons in web development, this book will equip you with the necessary skills to excel in with Vue.js. So, dive into this adventure and become a Vue.js master in just six days! What Youll Learn Understand key Vue.js principles and concepts. Create Reactive user interfaces. Acquire a comprehensive understanding of the Vue.js framework. Who This Book Is For Web Developers, programmers, students, and teachers who are looking to learn or brush up on Vue.js Autorid: Eric Sarrion

Learn all about GitLab administration, the open-source DevOps platform helping millions develop and deploy safe and secure software. This book is designed to be your one-stop shop to get up and running with complete ease. Start with the basics like setting up a GitLab account and exploring user options before moving on to GitLabs primary function as a source code management tool. From there, youll learn about one of the most unique features of GitLab: CI/CD configuration files. The next step on the journey is a discussion of how to organize code into projects and groups, along with defining access permissions using roles. Youll also examine the various planning tools provided by GitLab. With the basic features out of the way, youll delve into more specialized services such as the built-in Docker image repository, the package registry, web page creation, and binary file storage. The book concludes with more advanced administrative topics such as working with GitLabs REST and GraphQL APIs, setting up a proof-of-concept GitLab service using Amazon Web Services (AWS), and spinning up a production service that takes high availability and disaster recovery into account. With an abundance of information available for deploying secure software, selecting the right documentation can often be daunting. From planning to monitoring, Practical GitLab Services eliminates the unknown in your DevOps lifecycle. What You Will Learn Use GitLab to manage source code files, track and plan issues, run builds and tests, and deploy software See how administrators can support developers using GitLab Set up your own standalone installation using AWS Who This Book Is For Software developers, potential GitLab administrators, supporting team members such as testers and project managers. Autorid: Jeffrey Painter

Dive into the future of programming with this comprehensive guide for Java developers to integrate large language models (LLMs) and Generative AI using the Spring Framework. This book comes at a revolutionary time when AI technology is transforming how we implement solutions in various fields, including natural language processing, content generation, and predictive analytics. With its widespread use in the Java community, the Spring Framework is a logical choice for this integration. By focusing on integrating LLMs and GenAI with Spring, this book bridges a significant gap between cutting-edge AI technologies and traditional Java development practices. The author uses a hands-on approach, guiding you through practical implementation to effectively show how to apply theory in real-world situations. Basic introductions of topicsSpring AI, Spring Framework, and other related AI technologiesevolve into advanced integrations to ensure that you find valuable insights regardless of your starting level. Additionally, this book dedicates sections to security and ethical considerations, addressing the pressing issues associated with AI. With a look at emerging trends and future developments, this book prepares you for what's next, ensuring that you are not just catching up with the current state of technology but are also ready for future advancements. What You Will Learn Master the integration of LLMs and GenAI with the Spring Framework Develop practical skills in developing AI-driven applications using Java Gain insights into handling data, security, and ethical considerations in AI applications Apply strategies for optimizing performance and scalability in AI-enabled applications Prepare for future AI trends and technologies Who This Book Is For Intermediate to advanced Java developers who are familiar with the Spring Framework, including concepts such as dependency injection, Spring Boot, and building RESTful services. This foundational knowledge will help developers grasp the more advanced topics of integrating AI technologies with Spring. Prior knowledge of basic AI concepts and machine learning is helpful but not essential as the book covers these topics from the ground up. Autorid: Banu Parasuraman

Maximize Figma's arsenal of tools and plugins within a team-based collaborative environment and accelerate you company's decision making. This book will show you where Figma fits into the user experience (UX) design process from documentation to developer handoff.Since its release as a browser-based design tool in 2016, Figma has fast become the de facto UX Design tool for the industry mainly due to its accessibility and ease of use. As you move through the book you will learn where Figma fits in the UX process. For example, using FigJam (an online whiteboard) for brainstorming, and creating interactive prototypes for mobile devices, tablets, and web sites. You'll also see how Figma is used to create and integrate with design systems, and how variables, when applied to design system components, can accelerate the design and development workflow.With the help of step-by-step examples, and using Figma's tools and templates, you'll create artifacts such as Flow and Journey diagrams, Personas, and wireframes. From there you will explore other design and interactivity features, and how to prepare a Figma file for handoff to a development team. This book is your roadmap to utilizing Figma, the industry's fastest growing collaborative design tool for building meaningful products. What You Will LearnCreate interactive prototypes Test and submit designs for team reviewUnderstand the collaborative workflow involved in an UX projectPrepare common UX documentationWho This Book Is For Designers, developers, and UX specialists with little-to-no Figma experience who are looking to integrate it within their workflows, and intermediate Figma users who are just starting to become involved in the collaborative UX workflow.

Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics. The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julias AI capabilities to construct Artificial Neural Networks. Youll then explore advanced AI models, such as variational autoencoders, in order to generative images and text. Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources. What You Will Learn Acquire a solid foundation of Generative AI basics. Utilize the capabilities of Python and Julia to constructure Artificial Neural Networks Explore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is For Programmers new to artificial intelligence, but with a fundamental grasp of Python. Autorid: Pierluigi Riti

Denmark is a great place to work - if you know the unwritten rules of Danish working culture. The Danish "flat hierarchy" means that you may find yourself interacting with top management even as a junior employee. Your Danish boss will expect you to be proactive, work independently, and quickly admit mistakes when you makethem. This book explains some of these unstated assumptions of the Danish workplace, as well as how to find a job in Denmark.- Is learning to speak Danish necessary?- How can you promote your skills in a job interview without breaking "The Jante Law"?- Is it true that Danish bosses encourage you to disagree with them?- Why is it so important to take a break and eat cake with your colleagues?- What's it like to be an international boss leading a Danish team?

The business of love gets messy when two best friends decide to fake a romantic relationship in this uproarious and gorgeously romantic novel, inspired by the 80s classic movie, Risky Business. Audrey Barbour has had enough of following the rules. Eighteen years of being the perfect daughterexceptional grades, enviable college acceptances, tame dating historyand still, her parents dont trust her enough to let her study her passion, glassblowing, on a prestigious fellowship. So when her best friend Henry proposes an outrageous fake-dating scheme to win back his ex-girlfriend, it feels like the first step to shaking up her perfect life. And the second? That comes when Audreys parents go out of town, sparking a high-risk, high-reward solution to pay for her fellowshiprenting out her familys Connecticut mansion online. With the help of her new fake-boyfriend, it shouldnt be hard to pull off right? But when her best intentions start to unravel, Audrey will have to reckon with who she is, what she wants, and what it really means to play life by her rulesall with her heart on the line. Autorid: K.L. Walther

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This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges. The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure. What you will learn: Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments. How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks. How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT. Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recovery Who this book is for: This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. Autorid: Het Mehta

The Fundamentals of UX Writing explores the topic of microcopy - what it is, why it matters, and how to craft effective, user-friendly text for digital experiences. Strong microcopy enhances usability, builds trust, and improves conversions, making it a crucial skill for designers, writers, and product teams. As digital interactions continue to shape our daily lives, effective microcopy is more important than ever. We will start by looking at what microcopy is and what it does. Then well dive into the best practices that enable stakeholders to write better microcopy, faster. Later, well talk about exceptions to the rules. Real life examples throughout the book make the content clear and memorable. We will look at not overloading users with information or alienating them with jargon or idioms, as well as how to design great calls to action (CTAs) and improve navigation. We will also talk about setting up content hierarchy, localization beyond translation, and accessibility requirements. After setting a solid foundation for the tactical side of UX writing, the book explores the strategic side of the work: how we can use and conduct user research and market analysis and other data sources to aid in the creation of microcopy to serve the goals and values of the business and its users; how microcopy can be used for broader product marketing, content operations such as documentation and governance; and leveraging AI along the way. You Will : Learn what microcopy is and how to do it well on a day-to-day, hands on, tactical level Explore UX writing strategy including use of voice and tone, as well as content hierarchy, governance, and the role of AI in our practice How to use user insights, market research and other data sources, and internal collaboration to write better copy that meets your goal This Book is For: Content designers and other UX writing practitioners and technical writers, as well as developers, UX researchers, product managers, marketers, and other business stakeholders who are involved in the selling, usability and adoption of digital products. Autorid: Yael Ben-David

Unlock the power of Claude, an advanced conversational AI assistant, and integrate it into your daily professional workflows and decision-making. This book offers a clear, relatable path, regardless of your technical background, from first prompt to advanced user, through a guided, real-life learning approach that explains the AI learning curve.You’ll start with an overview of Claude’s capabilities. In Part I, Claude Fundamentals introduces you to Claude AI in a clear, beginner-friendly way, using relatable comparisons and real examples. It guides you through initial setup, early conversations, and key lessons learned from trial and error. The section also explores prompt design, showing how skills evolve from basic to advanced, with practical before-and-after insights. Part II dives into hands-on applications—writing, research, coding, creativity, and data analysis—demonstrating how Claude can support a wide range of professional and personal use cases. Part III then introduces advanced strategies like prompt chaining and feature optimization, while Part IV explores professional domains including business, education, and artistic collaboration. In Part V, you’ll gain insights into troubleshooting, responsible AI use, and keeping up with rapid AI advancements. Finally, Part VI synthesizes the full journey, offering guidance on becoming a true power user and shaping the future of human-AI collaboration. Through transparent storytelling, tested frameworks, and actionable strategies, this practical guide will empower you to turn Claude AI from a tool into a transformative partner. What You Will Learn Use Claude AI effectively, even with no technical background or coding experience Master prompting techniques that evolve from simple queries to advanced, optimized conversations Apply Claude in writing, research, coding, creativity, and data analysis with real-life examples Explore Claude’s advanced features and integrate them into daily professional workflows and decision-making Who This Book Is For Creative professionals, educators, and business leaders exploring practical AI integration. It’s also ideal for entrepreneurs seeking new opportunities and knowledge workers aiming to boost productivity.

This book explores the transformative impact of artificial intelligence on social engineering and testing, offering a timely and necessary guide for navigating one of the most pressing challenges in modern cybersecurity. AI is not only revolutionizing how attackers exploit vulnerabilities but also how defenders test and strengthen their systems. With over 80% of data breaches attributed to human error or social engineering, and phishing responsible for 36% of successful cyberattacks, the stakes for organizations are higher than ever. The rise of AI tools capable of automating these attacks has introduced new complexities, making it critical for organizations to adopt advanced strategies to test their resilience.The book's core mission is to equip cybersecurity professionals with the tools, knowledge, and frameworks to counter these AI-driven threats ethically and effectively. Readers will discover how to simulate sophisticated AI-enabled attacks, from deepfake impersonations to multi-channel phishing campaigns, all while respecting ethical boundaries. Practical applications are emphasized, such as leveraging open-source tools to mimic real-world attack scenarios and using AI to analyze human vulnerabilities. It also provides actionable guidance on building defenses and training programs that reflect the rapidly evolving threat landscape.As AI tools like ChatGPT, deepfake generators, and voice synthesis platforms become increasingly accessible, their misuse in crafting malicious campaigns is accelerating. Research shows that 83% of organizations experienced a successful phishing attack in 2022, while incidents involving deepfakes rose 300% compared to the previous year. Meanwhile, the widespread availability of personal information on social media has created fertile ground for AI-driven reconnaissance, making targeted social engineering easier and more effective than ever. This book directly addresses these challenges, showing how to test against these threats before attackers can exploit them.What makes this book essential is its focus on preparing organizations for the future of security testing. It goes beyond describing threats by offering a blueprint for integrating AI into their existing workflows, enabling defenders to think like attackers and stay one step ahead. From actionable case studies to ethical frameworks, it provides a comprehensive resource for testing and improving defenses in environments where the line between human and machine deception grows increasingly blurred. This is not just a book about threats-it's a call to action for organizations to evolve their approach to security and embrace AI's potential to strengthen their defenses.What You Will learn: How AI reshapes social engineering and testing, acquiring the knowledge to simulate advanced threats such as AI-generated phishing, deepfakes, and automated reconnaissance. How to develop skills to implement open-source AI tools for crafting ethical attack simulations, testing human and organizational vulnerabilities, and strengthening defenses. How to prepare to navigate future challenges in AI-enabled security testing, ensuring readers remain adaptable as social engineering threats evolve. Who This Book is for:The primary audience includes technical positions, penetration testers, and security professionals (mid- to senior-level cybersecurity professionals, including penetration testers, red teamers, and SOC analysts, with 3-10 years of experience in technical roles); the secondary audience is managers, technical managers, strategists, and influencers, legal (5+ years in management or leadership roles, overseeing technical teams or developing security strategies); and the tertiary audience is beginners (Entry- to mid-level technical professionals exploring advanced cybersecurity techniques or AI applications).

Cyber risk quantification (CRQ) is the practice of measuring cybersecurity risk using numbers —not colors or guesswork. Instead of labeling risks “high,” “medium,” or “low,” CRQ uses probabilities, ranges, and impact estimates to help organizations make better, data-informed decisions about risk.In a world where ransomware gangs operate like small businesses, every core function of an organization is digital, and Boards and regulators are demanding meaningful, defensible risk metrics, CRQ has never been more relevant than now. And thanks to AI, it’s about to scale fast.At the same time, CRQ is often misunderstood as expensive, technical, or just “voodoo math.” People assume you need a stats degree, six-figure software, or a room full of analysts. This book is here to prove otherwise. From Heatmaps to Histograms is a hands-on, plain-English guide written by a seasoned practitioner who’s built CRQ programs at top global companies. It’s packed with step-by-step instructions, practical tips, templates, shortcuts, AI prompts, and plenty of myth-busting to take you from CRQ skeptic to CRQ champion—even if you’ve never cracked open a statistics book. All techniques in this book can be performed in Excel or Google Sheets—no coding required. But for readers who want to go further, you’ll find dozens of GenAI prompts that help you generate risk scenarios, clean messy data, or even “vibe-code” your way through a Monte Carlo simulation in Python or R. You'll also get guidance on when to not use AI, how to spot hallucinations, and how to integrate it responsibly into your risk practice. CRQ is no longer optional. This is your roadmap for making it work—cheaply, ethically, and effectively. What You Will Learn: A beginner-friendly introduction to the statistical foundations of CRQ, including Monte Carlo simulations, credible intervals, Bayesian reasoning, and simple methods for summarizing uncertainty—without requiring a math or coding background. How to gather, vet, and work with data—even when it’s scarce, messy, or missing. How to perform full end-to-end quantitative risk assessments using only Excel or Google Sheets. How to harness the power of generative AI to supercharge risk analysis workflows. How to apply CRQ and GenAI responsibly and ethically, with clear guidance on common pitfalls, misuse scenarios, and how to ensure transparency, fairness, and trustworthiness in your analysis and reporting. Who This Book is for:Beginner/Intermediate in the cyber/technology risk management field

FROM THE AUTHOR OF OUR KIND OF CRUELTY"A stunning, dark novel about who women want to be and the reality of who they are.” ―Samantha Downing, author of His Lovely Wife"Promises to please those who enjoy psychological thrillers and all those who love Elena Ferrante but wish her series was just a bit (okay, a lot) more twisted." ―Molly Odintz, Lit HubWhen Nancy Hennessy is murdered, she leaves behind two best friends, an adoring husband and daughter, and a secret lover whose identity she took to the grave. Nancy was gorgeous, wealthy, and cherished by those who knew her―from the outside, her life was perfect. But as the investigation into her death flounders and her friends Eleanor and Mary wrestle with their grief, dark details surface that reveal how little they knew their friend, each other, and maybe even themselves.A gripping, immersive novel about impossible expectations and secrets that fester and become lethal, Imperfect Women unfolds through the perspectives of three fascinating women. Their enduring, complex friendship is the knot the reader must untangle to answer the question Who killed Nancy?Imperfect Women explores guilt and retribution, love and betrayal, and the compromises we make that alter our lives irrevocably. With the wickedly sharp insights and finely tuned suspense that has drawn comparisons to Patricia Highsmith and Paula Hawkins, Araminta Hall returns with another page-turning, thought-provoking tour de force.

Gain an understanding of various financial risks, the benefits of portfolio diversification, and the fundamental trade-off between risk and return. This book takes an in-depth journey into the world of quantitative risk management using Python, focusing on credit and market risk, with an extension to model risk.You'll start by reviewing the different types of financial risk, the benefit of diversification in a portfolio, and the fundamental trade-off between risk and return. The book then offers an in-depth look at managing credit and market risk in today's dynamic markets, all with practical Python implementations. Moving on, you’ll examine common hedging strategies used to manage investment positions, along with practical implementations on evaluating risk-adjusted, as well as downside risk measures. Finally, you’ll be introduced to common risks related to the development and use of machine learning models in finance. Whether you're a finance professional, academic, or student, Quantitative Risk Management Using Python will empower you to make informed decisions in today's complex financial landscape.What You Will Learn Explore techniques to assess and manage the risk of default by borrowers or counterparties. Identify, measure, and mitigate risks arising from fluctuations in market prices. Understand how derivatives can be employed for risk management purposes. Delve into both static and dynamic hedging techniques to protect investment positions, including practical applications for evaluating risk-adjusted and downside risk measures. Identify and address risks associated with the development and deployment of machine learning models in financial contexts. Who This Book Is ForFinance professionals, academics, and students seeking to deepen their understanding of Quantitative Risk Management using Python, especially those interested in navigating the intricate domains of credit, market and model risk within the financial sector and beyond.

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