Computer und IT
Debian GNU/Linux 13
Leicht verständliche Einführung für Einsteiger inkl. weiterführendem ExpertenwissenDebian effizient einsetzen und professionell konfigurierenVon Desktop bis Server – alle wichtigen Einsatzmöglichkeiten detailliert erläutertInkl. aller wesentlichen Neuerungen von Debian 13 Von der Installation bis zum sicheren Betrieb Debian ist eine stabile, langlebige und professionelle Linux-Distribution, die ein Höchstmaß an Anpassungsfreiheit bietet. Der Autor begleitet Sie von der Installation und der Konfiguration bis hin zum produktiven Einsatz – unabhängig davon, ob Sie Linux-Neuling oder erfahrener Anwender sind. Dank übersichtlicher Strukturierung und anschaulicher Schritt-für-Schritt-Anleitungen ist dieses Buch sowohl als Einführung als auch zum Nachschlagen geeignet. System professionell konfigurieren und administrieren Neben den Grundlagen vermittelt der Autor praxisnahes Wissen für die Linux-Administration: Sie erfahren, wie Sie das System effizient über das Terminal bedienen, Software und Firmware aktuell halten, Prozesse mit Systemd steuern und wiederkehrende Aufgaben mit Cron automatisieren. Auch Sicherheitsaspekte und Backup-Strategien sowie Möglichkeiten zur Systemwiederherstellung werden verständlich und detailliert behandelt. Debian effektiv auf Desktop und Server einsetzen Ob klassischer Arbeitsplatz oder leistungsfähiger Server – Sie erhalten fundiertes Praxiswissen für den effektiven Einsatz von Debian und lernen, wie Sie das volle Potenzial der Distribution im Alltag oder im professionellen Umfeld ausschöpfen. Aus dem Inhalt: Live-System und InstallationGrafische Oberflächen: KDE PlasmaGNOMEXFCEPaketverwaltung und AppImagesBenutzer und RechteverwaltungDie wichtigsten Terminal-BefehleSystemd – die SteuerzentraleAutomatisierung mit CronNetzwerkkonfigurationMail- und DNS-ServerApache und MariaDBVirtualisierung mit DockerFirewall konfigurierenBackups und DatenrettungSystemwiederherstellung Robert Gödl ist überzeugter Linux-Nutzer mit einer Vorliebe für das Testen von freien Betriebssystemen und freier Software. Er arbeitet im Bereich Monitoring und Logging mit Linux sowie an Aufbau und Instandhaltung der IT-Infrastruktur. Nach über 20 Jahren ohne Microsoft Windows möchte er anderen zeigen, dass Linux heute einfach zu installieren und nutzen ist.
Generative AI Security
Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google’s CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selectionIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generationDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI’s greater impact on information integritySecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacksPrivacy-preserving AI techniques including federated learning and homomorphic encryption Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility. Shaila Rana, PhD, is a professor of Cybersecurity, co-founder of the ACT Research Institute, a cybersecurity, AI, and technology think tank, and serves as the Chair of the IEEE Standards Association initiative on Zero Trust Cybersecurity for Health Technology, Tools, Services, and Devices. Rhonda Chicone, PhD, is a retired professor and the co-founder of the ACT Research Institute. A former CSO, CTO, and Director of Software Development, she brings decades of experience in software product development and cybersecurity.
Python Automation For Dummies
Boost your productivity with Python® automations Interested in streamlining your workflow, increasing your productivity, and saving time? In this book, veteran tech educator and author Alan Simpson walks you through the steps to use Python to wrangle your data, manage your files, create shortcuts, locate and organize information, and interact with artificial intelligence. This easy-to-follow guide will expand your productivity toolkit, demonstrating how to use accessible Python code to make your life and job easier. Inside … Review Python basicsManage your filesOrganize your dataSpeed up researchAutomate your scheduleOptimize your workAvoid routine workFocus on important tasks Streamline Your Workflow and Boost Productivity with Python Automation In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter. Review the basics of Python coding and follow steps for automating all sorts of tasksManage large file sets, organize and analyze data, and speed up research processesAutomate scheduling and other time-consuming tasks—and optimize work with AIFree up time and resources by automating routine work, so you can foucs on more important issues This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient. Alan Simpson is a veteran technology writer and educator with extensive experience covering topics from programming languages to the Windows operating system. He’s the author of Windows 11 For Dummies, 2nd Edition, and a co-author of Python All-in-One For Dummies.
Praxisbuch Large Language Models
Alle Werkzeuge und Techniken für die praktische Arbeit mit LLMsDas Handbuch für das intuitive Verständnis von LLMs: Mit zahlreichen Visualisierungen, die Konzepte schnell zugänglich machenThemen sind die Sprachverarbeitung – Textklassifikation, Suche oder Cluster – und die Sprachgenerierung – vom Prompt Engineering bis zur Retrieval Augmented Generation (RAG)Die Autoren haben mit ihren beliebten Blogs Millionen von Entwickler*innen geholfen, Machine Learning und KI zu verstehenDiese umfassende und anschauliche Einführung in die Welt der LLMs beschreibt sowohl konzeptionelle Grundlagen als auch konkrete Anwendungen und nützliche Tools. Tauchen Sie in das Innenleben von LLMs ein und erkunden Sie ihre Architekturen, Einsatzbereiche, Trainingsmethoden und Feintuning-Techniken. Mit seiner einzigartigen Mischung aus intuitiv verständlichen Illustrationen und praxisbezogenen Erläuterungen ist dieses Buch die ideale Ausgangsbasis für alle, die die Möglichkeiten von KI-Systemen voll ausschöpfen möchten.Sie lernen, vortrainierte Transformer-LLMs von Hugging Face für Anwendungsfälle wie das Verfassen von Texten oder für Inhaltszusammenfassungen einzusetzen. Sie erfahren außerdem, wie Sie Suchsysteme erstellen und vorhandene Bibliotheken und vortrainierte Modelle für Textklassifikation, Suche und Clustering nutzen.Verstehen Sie die Architektur von Transformer-basierten Sprachmodellen, die bei der Textgenerierung und -repräsentation hervorragende Ergebnisse liefernEntwerfen Sie fortgeschrittene LLM-Pipelines, um Textdokumente zu clustern und die darin enthaltenen Themen zu erforschenErstellen Sie semantische Suchmaschinen, die über den Abgleich von Schlagwörtern hinausgehen und auf Methoden wie Dense Retrieval und Reranking basierenLernen Sie, wie Sie generative Modelle optimal einsetzen – vom Prompt Engineering bis hin zur Retrieval Augmented Generation (RAG)Entwickeln Sie ein tieferes Verständnis dafür, wie LLMs trainiert und für spezifische Anwendungen optimiert werden, beispielsweise durch Feintuning generativer Modelle, Contrastive Fine-Tuning und In-Context-LearningJay Alammar ist Direktor und Engineering Fellow bei Cohere, dem Vorreiter bei der Bereitstellung von Large Language Models als API. In dieser Funktion berät und schult er Unternehmen und die Entwicklergemeinschaft bei der Verwendung von Sprachmodellen für praktische Anwendungsfälle. Durch seinen beliebten AI/ML-Blog hat Jay Millionen von Forscherinnen und Softwareengineers geholfen, Tools und Konzepte des Machine Learnings visuell zu verstehen - von den Grundlagen (die in der Dokumentation von Paketen wie NumPy und pandas auftauchen) bis hin zu den neuesten Entwicklungen (Transformers, BERT, GPT-3, Stable Diffusion). Jay ist außerdem Mitgestalter von beliebten Kursen zum Machine Learning und Natural Language Processing auf Deeplearning.ai und Udacity.Maarten Grootendorst ist Senior Clinical Data Scientist bei IKNL (Netherlands Comprehensive Cancer Organization). Er hat Master-Abschlüsse in Organisationspsychologie, klinischer Psychologie und Data Science, die er nutzt, um komplexe Konzepte des Machine Learning einem breiten Publikum zu vermitteln. Mit seinen beliebten Blogs hat er Millionen von Leserinnen und Lesern erreicht. Darin erklärt er die Grundlagen der künstlichen Intelligenz - oft aus psychologischer Sicht. Er ist Autor und Betreuer mehrerer Open-Source-Pakete, die sich auf die Stärke von Large Language Models stützen, wie BERTopic, PolyFuzz und KeyBERT. Seine Pakete werden millionenfach heruntergeladen und von Datenexperten und Organisationen weltweit genutzt.
Startup-Recht (3. Auflage)
Pflichtlektüre für Gründer und Startups: praxisnah und topaktuellAlle relevanten Themen für Unternehmensgründung, -finanzierung und -führungJetzt mit umfassender Beratung zum Thema KI im StartupWertvolle Insights aus langjähriger Startup-Beratung verständlich zusammengefasstStartups werden mit vielen juristischen Fragestellungen konfrontiert. Für den Erfolg des Gründerteams ist es extrem wichtig, von Anfang an die richtigen Entscheidungen zu treffen. Durch eine gute Vorbereitung von Rechtsanwalts- und Notarterminen können Gründer zudem bares Geld sparen.Jan Schnedler, Rechtsanwalt in Hamburg, berät seit vielen Jahren Startups. Er fasst in diesem Praxisleitfaden seine Erfahrungen zusammen – in einer Sprache, die für Nichtjuristen gut verständlich ist.Gesellschaftsform und GesellschaftsvertragWelche Gesellschaftsform ist die richtige? Was muss ich beim Aufsetzen des Gesellschaftsvertrags beachten?Geschäftsmodell, Produkte und Dienstleistungen schützenWas ist eine Marke, und warum sollte ich Marken schützen? Wie sichere ich Technologien durch Patente ab und was kostet das?Das Startup finanzierenBootstrapping, Family/Fools/Friends, Business Angels, Venture Capital, Crowdfunding, Family Offices und staatliche Förderungen: Welche Finanzierungsformen kommen infrage? Was ist bei der Gestaltung von Investorenverträgen wichtig?Das Startup führenWelche Rechte und Pflichten haben Geschäftsführer? Was müssen sie beim Einstellen von Mitarbeitern und im Insolvenzfall berücksichtigen?Künstliche Intelligenz und StartupsWelche rechtlichen Vorgaben gelten für die Trainingsdaten von KI-Modellen? Wie vermeiden Anbieter von KI-Anwendungen Haftungsrisiken? Welche Compliance-Maßnahmen sind Pflicht?
Entscheidungsorientiertes Life Cycle Sustainability Assessment
Jan-Linus Popien entwickelt mit dem entscheidungsorientierten Life Cycle Sustainability Assessment (eoLCSA) einen neuen Ansatz zur Bewertung und Gestaltung von Produktionssystemen entlang der drei Nachhaltigkeitsdimensionen. Aufbauend auf Rechnungswesen und Life Cycle Management wird die ökonomische Wirkungsabschätzungsmethode DEALA samt Leitfaden entwickelt und in das eoLCSA integriert. Ziel ist eine transparente, anschlussfähige und standardnahe Entscheidungsunterstützung. Zur Anwendung dient die Batteriewertschöpfungskette. In einer Fallstudie wird sie umfassend hinsichtlich ihrer Auswirkungen analysiert. Zudem wird ein lineares Optimierungsmodell zur Gestaltung der Batteriewertschöpfungskette unter Berücksichtigung politischer Vorgaben wie der EU-Batterieverordnung und des Critical Raw Materials Act entwickelt. Die Ergebnisse zeigen, wie das eoLCSA als Bewertungs- und Entscheidungswerkzeug eingesetzt werden kann, um Zielkonflikte zwischen Nachhaltigkeitsdimensionen systematisch zu bewerten und Gestaltungsoptionen für Unternehmen und Politik abzuleiten. Einleitung.- Grundlegende Konzepte zur Nachhaltigkeitsbewertung industrieller Produktionssysteme.- Konzeption und Entwicklung des eoLCSA.- Fallstudie zum Einsatz des eoLCSA zur Bewertung und Gestaltung einer Batteriewertschöpfungskette.- Kritische Würdigung und Ausblick.- Zusammenfassung.
Das Rechtskonforme und effiziente KI-basierte Zeiterfassungssystem
In diesem Buch werden die Anforderungen an ein KI-gestütztes Zeitwirtschaftssystem am Beispiel einer internationalen Bank in Österreich untersucht. Die zentrale Herausforderung liegt darin, die Effizienzpotenziale durch Künstliche Intelligenz (KI) zu nutzen und gleichzeitig die strengen rechtlichen Rahmenbedingungen des Landes zu erfüllen. Die Relevanz des Themas ergibt sich aus der strategischen Bedeutung der Zeitwirtschaft, dem transformativen Potenzial von KI im Personalwesen und dem komplexen regulatorischen Umfeld in Österreich. Mithilfe eines qualitativen Forschungsansatzes und einer Single-Case-Study wurden semi-strukturierte Experteninterviews mit internen Stakeholdern aus den Bereichen HR, KI, Recht, Datenschutz und IT-Sicherheit geführt und durch eine Analyse interner Dokumente ergänzt. Die Ergebnisse zeigen, dass die strikte Einhaltung der rechtlichen Vorgaben – insbesondere des österreichischen Arbeitsrechts, der DSGVO-Grundsätze und der Mitbestimmungsrechte des Betriebsrats – eine unverhandelbare Grundlage darstellt. Ebenso entscheidend ist die proaktive Ausrichtung am EU AI Act für Hochrisiko-Systeme im HR-Bereich. Einleitung.- Literaturrecherche.- Methodik.- Fallstudienanalyse.- Diskussion.- Schlussfolgerung.- Erklärung über den Einsatz von KI.- Literaturverzeichnis.
Mastering Snowflake DataOps with DataOps.live
This practical, in-depth guide shows you how to build modern, sophisticated data processes using the Snowflake platform and DataOps.live—the only platform that enables seamless DataOps integration with Snowflake. Designed for data engineers, architects, and technical leaders, it bridges the gap between DataOps theory and real-world implementation, helping you take control of your data pipelines to deliver more efficient, automated solutions.. You’ll explore the core principles of DataOps and how they differ from traditional DevOps, while gaining a solid foundation in the tools and technologies that power modern data management—including Git, DBT, and Snowflake. Through hands-on examples and detailed walkthroughs, you’ll learn how to implement your own DataOps strategy within Snowflake and maximize the power of DataOps.live to scale and refine your DataOps processes. Whether you're just starting with DataOps or looking to refine and scale your existing strategies, this book—complete with practical code examples and starter projects—provides the knowledge and tools you need to streamline data operations, integrate DataOps into your Snowflake infrastructure, and stay ahead of the curve in the rapidly evolving world of data management. What You Will Learn Explore the fundamentals of DataOps, its differences from DevOps, and its significance in modern data managementUnderstand Git’s role in DataOps and how to use it effectivelyKnow why DBT is preferred for DataOps and how to apply itSet up and manage DataOps.live within the Snowflake ecosystemApply advanced techniques to scale and evolve your DataOps strategy Who This Book Is For Snowflake practitioners—including data engineers, platform architects, and technical managers—who are ready to implement DataOps principles and streamline complex data workflows using DataOps.live. 1. DataOps.- 2. Pillars of True DataOps.- 3. MLOps.- 4. DataOps Best Practices.- 5. Understanding Snowflake.- 6. Introduction to Git.- 7. Getting Started with Git.- 8. Advanced Git Topics.- 9. Introduction to DBT.- 10. Advanced DBT Techniques and Best Practices.- 11. Introduction to DataOps.live Platform.- 12. DataOps.live & DataOps: Better Together.- 13: Essential Elements of DataOps.live.- 14. Getting Started with DataOps.live.- 15. Managing Your Environments.- 16. Build Your First DataOps Pipeline.- 17. Getting Started with SOLE.- 18. Getting Started with MATE.- 19. Managing Multiple Databases with DataOps.Live.- 20. DataOps.live Orchestrators.- 21. Build Only Changed Models.- 22. DataOps.live REST API.- 23. Medallion Architecture.- 24. Kimball Architecture.- 25. DataVault 2.0 Architecture.- 26. Combining Medallion with DataVault 2.0 and Kimball.- 27. Entity-Relationship (ER) Modeling and Beyond.- 28. Event-Driven Data Models.- 29. Graph Data Modeling.
Mastering Circuit Analysis
This book is your essential guide to mastering the fundamentals of electrical analysis. Starting with direct current (DC), it explores batteries, current, voltage, and key concepts like Ohm’s Law and Kirchhoff’s Laws for circuit analysis. Progressing to advanced topics, you'll learn about mesh analysis, superposition, Thevenin’s and Norton’s Theorems, and transient analysis, including time constants and DC RL/RC circuits. The journey continues with alternating current (AC), covering RMS values, phasors, complex numbers, and AC RLC circuits used in radio receivers. The final chapter dives into the world of magnets and magnetic circuits. Throughout, simulations using TINA 12 ECAD software demonstrate the accuracy of the methods discussed. This book equips engineers with the essential knowledge and skills to excel in electrical analysis. By mastering these foundational topics, readers will build the confidence and expertise needed to achieve qualifications and design innovative systems with ease. What You'll Learn Understand DC fundamentals, including batteries, current flow, and voltage.Analyze DC and AC circuits using Ohm’s Law, Kirchhoff’s Laws, and advanced methods like superposition.Explore transient analysis with time constants and DC RL/RC circuits.Master AC concepts such as RMS values, phasors, and AC RLC circuits.Simulate and validate circuits using TINA 12 ECAD software. Who is This Book For Students on electrical engineering courses or hobbyists who wants to learn about DC and ac circuit theories. Chapter One “Electrical Current”.- Chapter Two “The Fundamental Theories”.- Chapter Three “Analyzing Circuits with Multiple Sources”.- Chapter Four “DC RL Transient Analysis” .- Chapter Five “DC CR Transient Analysis” .- Chapter Six “The UK Mains Voltage”.- Chapter Seven “The Series and Parallel RLC Circuit” .- Chapter Eight “Analysis of ac Circuits”.- Chapter Nine “Analysis of Magnetic Circuits”.- Chapter TEN “Using TINA 12” .
MC Microsoft Certified Azure AI Fundamentals Study Guide
Your comprehensive guide to preparing for the Azure AI Fundamentals certification exam The MC Microsoft Certified Azure AI Fundamentals Study Guide is your one-stop resource for complete coverage of the challenging AI-900 exam. This Sybex Study Guide covers the entirety of the AI-900 objectives. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including an assessment test that validates and measures exam readiness, real-world examples and scenarios, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Azure AI Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Artificial Intelligence workloads and considerationsFundamental principles of machine learning on AzureComputer vision workloads on AzureNatural Language Processing (NLP) workloads on AzureGenerative AI workloads on Azure ABOUT THE AZURE AI FUNDAMENTALS CERTIFICATION The Azure AI Fundamentals certification demonstrates your knowledge of machine learning and AI concepts and related Microsoft Azure services. This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of basic cloud concepts and client-server applications. You can use Azure AI Fundamentals to prepare for other Azure role-based certifications. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: Artificial intelligence concepts and workloadsResponsible AI use in AzureCore concepts in AI models and solutionsIntroduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and moreThe application of machine learning concepts on the Azure cloud platformComputer vision in AzureNatural language processing conceptsGenerative AI conceptsThe Azure OpenAI ServiceExample AI use cases and industry-specific applications The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improveCarefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basisComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals—especially those working in AI-impacted industries like sales and marketing—who wish to expand their AI skillset and improve their effectiveness at work. ABOUT THE AUTHOR ADORA NWODO is a software engineer, author, and speaker with extensive experience in building and managing large-scale distributed systems. She’s an expert in cloud computing, distributed systems, and DevOps tooling.
The Evolune Metaverse
Welcome to "Evolune," a far-reaching adventure set in the year 11000, where the frontiers of Virtual Reality (VR), AI, Blockchain technology, and the Metaverse converge. In this advanced future, we explore the profound capabilities of a metaverse platform known as Evolune, which enables you to jump between universes. This realm is ruled by the powerful King Duncan and his corporate empire, The Gnos. This narrative intertwines with a mission to secure the potent Evolune energy, navigate diverse planetary systems, and resist the tyranny of The Gnos. As you step into the role of an astronaut, warrior, and scientist, this book serves as both a guide and a companion. Each chapter, depicted as a unique planet within the Evolune universe, delves into the intricacies of cutting-edge technologies. With a focus on Generative AI solutions, the revolutionary potential of blockchain, and the transformative capabilities of computational graphics, we embark on a journey to unravel these complex domains. Through a blend of immersive storytelling, detailed technical descriptions, and practical insights, the narrative is designed to demystify these technologies while integrating the lore of Evolune. Part fiction, part field guide, The Evolune Metaverse caters to a diverse audience—from Metaverse and spatial computing visionaries and blockchain developers to Generative AI engineers and technology enthusiasts and is tailored to broaden your horizons and deepen your comprehension of these rapidly evolving fields. We discuss practical applications, ethical considerations, and visionary future directions of AI, Blockchain, and the Metaverse to equip you with the knowledge and skills necessary to innovate and excel. You Will: Explore key developments in, virtual reality (VR) and digital twins business applicationsLearn about the revolution of spatial computing with a focus on VR glasses and consumer headsets Learn the latest in hyper-realistic graphic design Explore Machine Learning/Generative AI solutions Understand Blockchain technologies, the use of smart contracts and its applications Understand the legal, ethical and security implications This is for: Metaverse, VR and spatial computing developers, game designers, blockchain developers and othertech enthusiasts who are interested in the latest developments of VR, metaverse and the decentralised web. Chapter 1: Planet Celestor - Introduction to Artificial Intelligence and the Metaverse Chapter.- 2: Generative AI Solutions for Creativity and Prediction on Planet Tibara Chapter.- 3: Blockchain: The Foundation of Digital Trust on Planet Tenrai.- Chapter 4: Planet Epsilon: Synergies Between AI, ML, Blockchain, and Beyond.- Chapter 5: Planet Zeta: Unveiling the Metaverse and Digital Twins.- Chapter 6: Powering the Pixel: The Evolution of GPUs and Their Role in Modern Computing.- Chapter 7: Planet Eta - Navigating Legal, Ethical, and Security Landscapes in the Digital Age.- Chapter 8: Planet Vire -- The Apex of Digital Realism and Spatial Interaction.- Chapter 9: Planet Synthara -- Blueprints for Integrated Digital Ecosystems.- Chapter 10: The Next Wave: Projecting the Evolution of AI and Decentralized Technologies.- Epilogue.
Assembly Language Reimagined
Learning assembly language won’t make you a faster programmer. It won’t enable you to create portable, write-once, run-anywhere programs. So why learn it? The answer is that it will make you a better programmer. Author John Schwartzman takes a fresh look at low-level programming and explores how to write programs using the BIOS and glibc. This laboratory-based book aids the writing of high-level structured programs by showing what the processor can and can’t do and how it does it. You’ll take apart high-level structured C/C++ and show what the CPU is doing at every stage of the program. The book introduces programs and activities throughout the development process, providing sample code, makefiles, and shell scripts for each example program. With the help of Assembly Language Reimagined you’ll become a more capable and versatile computer engineer. What You will Learn Explore a new perspective on the Intel x64 microprocessor for low-level programmingUnderstand what a processor is doing while a high-level structured computer language program is being run Solve problems with the help of software. See why assembly language programming is essential for every serious student of computer science Who This Book Is For Embedded Linux and Assembly developers, engineers and programmers, hobbyists from the Maker community, as well as college and graduate level students who have some prior knowledge of a structured high-level language like C or C++ 1: Using BIOSServices.- 2: Using BIOS Services.- 3: Prefer glibc Over Calls to the BIOS.- 4: Passing Information to a Program on the Command Line.- 5: Using Macros and Passing Arguments on the Stack.- 6: Conditional Compilation and Conditional Builds.- 7: Recursion.- 8: Using Floating Point Registers.- 9: The commaSeperate Utility Program.- 10: The hhmmss Utility Program.- 11: Creating a Shared Library.- 12: Sorting an Array of Integers.- 13: Sorting and Array of Strings.- 14: Finding, Reading and Sorting File and Directory Information.- 15: Creating and Solving a Linked List.- 16: Creating and Sorting a Linked List.- 17: Reading and Sorting File and Directory.- 18: Reading File and Directory Information.- Afterword.- Appendix A.
MC Microsoft Certified Azure Fundamentals Study Guide
Your complete Guide to preparing for the Microsoft Certified Azure Fundamentals exam The MC Microsoft Certified Azure Fundamentals Study Guide, Second Edition is your comprehensive resource for start-to-finish coverage of the challenging AZ-900 exam. This Sybex Study Guide covers every AZ-900 objective. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including, assessment tests that validate and measure exam readiness, objective maps real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank. Get prepared for the Microsoft Certified: Azure Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Cloud conceptsAzure architecture and servicesAzure management and governance ABOUT THE MC AZURE FUNDAMENTALS CERTIFICATION The Azure Fundamentals certification is perfect for those getting started with cloud-based services, both IT technicians and members of other business disciplines such as sales and marketing. Focused on Azure services and general cloud fundamentals, it provides a solid working knowledge of Azure. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with 2 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared The fastest and most effective way to learn the fundamentals of Azure cloud technology and prepare for the AZ-900 certification exam The newly updated second edition of MC Microsoft Certified Azure Fundamentals Study Guide is an accurate and up-to-date roadmap to the AZ-900 certification exam and a reliable, effective resource for everyone seeking to learn about or reinforce their knowledge of Azure services, pricing, security and compliance, resource management, and more. In the book, experienced Microsoft Principal Customer Success Account Manager and long-time author, Jim Boyce, covers every foundational Azure competency, including: General and foundational cloud conceptsAzure Core Services, including architecture, subscription and billing options, data services, and virtual machinesAzure Core Networking Services, like virtual networks, load balancers, and VPN gatewaysSecurity, compliance, privacy, and trust featuresAzure Solutions, like AI and machine learning, serverless computing, and IoTAzure pricing, service levels, and lifecyclesAzure Resource creation and management Ideal for technical and non-technical professionals alike, this straightforward Study Guide draws on the proven Sybex model to explain core Azure features and concepts. It will get you ready to succeed on the widely used AZ-900 certification test and elevate your understanding of Azure cloud software, improving your day-to-day performance in any role that directly or indirectly intersects with the cloud platform. Inside the book End-of-chapter review questions, with answers and explanations, you can use to measure your progress and help you focus on the areas where you need to improveConcise and intuitive explanations of core Azure services, functions, and featuresComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms With authoritative, concise coverage of all relevant cloud concepts, Azure architecture and services, and management and governance features tested by the AZ-900 certification exam, this edition of MC Microsoft Certified Azure Fundamentals Study Guide is the fastest, most efficient way to get up to speed on foundational Azure cloud competencies. ABOUT THE AUTHOR JIM BOYCE is a Principal Customer Success Account Manager at Microsoft. He’s authored more than 60 books covering a wide range of technology topics, including Windows, Microsoft Office, AutoCAD, Unix, networking, programming, and hardware.
Linux-Treiber entwickeln (5. Auflage)
Systematische Einführung in die Kernel- und TreiberprogrammierungPraktisches Nachschlagewerk mit Codebeispielen und TemplatesModerne Kernel- und TreiberkonzepteDieses Buch bietet Entwicklerinnen und Entwicklern, Kernel-Hackern und Linux-Interessierten mit Kenntnissen in C eine fundierte und praxisorientierte Einführung in die Linux-Kernel-Programmierung und die Entwicklung professioneller Gerätetreiber. Es deckt die Grundlagen ab, die für das Schreiben robuster und sicherer Treiber unverzichtbar sind – von der Absicherung kritischer Abschnitte über die effiziente Speicherverwaltung bis hin zu Techniken für spezielle Hardwareanbindungen. Durch eine schrittweise Heranführung, praktische Templates sowie zahlreiche Codebeispiele erhalten Sie das Handwerkszeug, um eigene, performante, professionelle Treiber und eigenen Kernel-Code zu entwickeln.Die 5. Auflage wurde durchgehend auf den Stand des Kernels 6.13 aktualisiert. Einige Abschnitte, wie zu den Device-Trees, wurden erweitert und andere, wie die Einführung in die Industrial-IOSchnittstelle für industrielle Anwendungen, sind hinzugekommen.Behandelt werden unter anderem:Grundlagen der Linux-Kernel-ArchitekturSchutz kritischer Abschnitte zur Vermeidung von DatenkorruptionKernel-Threads, Tasklets, Workqueues und hochauflösende TimerEffiziente Speicherverwaltung inklusive Objekt-CachingSystemintegration über das Proc-, Sys- und Device-FilesystemCrypto-APIs für sicherheitsrelevante AnwendungenKernel Build System und Build-ProzesseProfessionelle Hardwareanbindung, speziell für Raspberry PiGreen Computing und Energiemanagement für ressourcenschonende SystemeEchtzeitfähigkeit und RealzeitaspekteSpezialisierte Treiber für GPIO, I2C, PCI, USB, Blockgeräte und mehrJürgen Quade studierte Elektrotechnik an der TU München. Danach arbeitete er dort als Assistent am Lehrstuhl für Prozessrechner (heute Lehrstuhl für Realzeit-Computersysteme), promovierte und wechselte später in die Industrie, wo er im Bereich Prozessautomatisierung bei der Softing AG tätig war. Heute istJürgen Quade Professor an der Hochschule Niederrhein, wo er u. a. das Labor für Echtzeitsysteme betreut. Seine Schwerpunkte sind Echtzeitsysteme, Embedded Linux, Rechner- und Netzwerksicherheit sowie Open Source.
Attack Vectors
From early worms to AI powered deepfakes, Attack Vectors chronicles the relentless battle between hackers and defenders. This deep dive into cybersecurity’s evolution unpacks the rise of malware from the Morris Worm to Stuxnet and the cyber syndicates that turned hacking into a billion-dollar underground industry. It explores devastating exploits like CodeRed and HeartBleed, revealing how vulnerabilities become weapons. Meet the visionaries who built the internet’s defenses and the adversaries who found ways to break them. Governments, corporations, and rogue actors all play a role in this ongoing digital war, where data is power, and deception is an art. As cyber-attacks grow more sophisticated, understanding the past is crucial to securing the future. Attack Vectors is essential reading for anyone navigating today’s high-stakes cyber landscape to learn lessons from the past and how solutions today address the most attack vectors predicted in the future. You’ll Learn: Understand the history of cyber-security from the early 1950’s through today.Explore the history of terminology that defines the threat landscape.Examine the history of malware, exploits, breaches, syndicates, and people throughout the last 25 years.Learn how modern cyber-security solutions have been developed to address the evolution of attack vectors.Explore best practices for what to do after a breach and how to manage some of the biggest risks including human beings themselves. Who This Book Is For? New security management professionals, auditors, and information technology staff looking to understand the history of cyber-security. Chapter 1: The History of Attack Vectors.- Chapter 2: Business Justification.- Chapter 3: Definitions.- Chapter 4: Malware.- Chapter 5: Exploits.- Chapter 6: Breaches.- Chapter 7: Regulations.- Chapter 8: People.- Chapter 9: Syndicates.- Chapter 10: Social Engineering.- Chapter 11: Solutions.- Chapter 12: The Human Threat.- Chapter 13: Lateral Movement.- Chapter 14: Return on Investment.- Chapter 15: It’s Not If, But When.- Chapter 16: Supply Chain Attacks.- Chapter 17: Been Hacked?.- Chapter 18: History Lesson.- Chapter 19: Conclusion.
Künstliche Intelligenz in der Marketingabteilung
Das Buch untersucht den aktuellen Einsatz künstlicher Intelligenz in Marketingabteilungen. Basierend auf einem entwickelten Prozessmodell und einer quantitativen Befragung von Fachexpert*innen werden Nutzungshäufigkeit, Anwendungsfelder sowie Chancen und Herausforderungen analysiert. Abschließend werden konkrete Handlungsempfehlungen vorgestellt, um die Nutzung von KI im Marketing gezielt zu fördern. Einleitung.- Theoretische Grundlagen.- Zwischenfazit.- Empirische Untersuchung.- Auswertung der Forschungsergebnisse.- Diskussion.- Fazit.
Cybersecurity Audit Essentials
In a world where cyber threats are more pervasive and sophisticated than ever, this book serves as a trusted companion for professionals charged with protecting critical digital assets. It bridges the gap between theoretical understanding and real-world application, equipping readers with the tools, techniques, and insights to conduct effective cybersecurity audits confidently. The guide takes readers through every stage of the audit process—from planning and scoping to execution, reporting, and follow-up—offering actionable advice at each step. It unpacks the core principles of cybersecurity auditing, such as risk assessment, compliance frameworks, and leveraging advanced tools and technologies. Readers will gain the skills to identify vulnerabilities, evaluate the effectiveness of security measures, and ensure compliance with regulatory requirements. What You Will Learn: Detailed explanations of various audit types, such as: internal, external, compliance, risk-based, and specialized, tailored to meet diverse organizational needs.Step-by-step instructions, checklists, and real-world examples to help readers avoid common pitfalls and adopt proven best practices.Insights into using cutting-edge technologies, including automated audit platforms, SIEM systems, and vulnerability scanners, to enhance audit effectiveness.Clear guidance on navigating key frameworks like GDPR, NIST, ISO 27001, and more, ensuring adherence to industry standards.Tips for prioritizing risk mitigation, crafting impactful audit reports, and fostering continuous improvement in cybersecurity practices. Who This Book Is for: IT auditors, cybersecurity auditors, cybersecurity professionals, and IT specialists who need a practical, hands-on guide to navigate the challenges of cybersecurity auditing in today’s complex digital landscape. Chapter 1: Introduction to Cybersecurity Audits.- Chapter 2: Planning the Cybersecurity Audit.- Chapter 3: Assessing Security Control.- Chapter 4: Compliance and Regulations.- Chapter 5 Introduction to Cyber Risk Management.- Chapter 6 Tools for Network and Cyber Security Audits.- Chapter 7 How to Write an Effective Cybersecurity Audit Report.- Chapter 8 Real-Life Scenarios and Case Studies.
Informatik für alle
Informatik ist eine breit aufgestellte Disziplin, mit einer umfassenden theoretischen Fundierung und mit einer großen Anzahl differenzierter Anwendungsbereiche. Deren gemeinsamer Kern liegt darin, Probleme mit dem Computer bzw. mit komplexeren Computersystemen zu lösen. Während sich Anwender*innen meist darauf beschränken, eine Qualifikation für das Bedienen von Computern zu erwerben, arbeiten sich Informatiker*innen viel tiefer ein und entwickeln und implementieren Problemlösungen. Wo kann man anfangen, sich mit Informatik zu beschäftigen? Die Problemlösung mit dem Computer erfordert Programmieren und das bietet einen sinnvollen Einstieg. Dies Buch ist für Sie nützlich, wenn Sie sich für Informatik und Programmierung interessieren, ganz am Anfang beginnen und bis zu dem Punkt kommen möchten, selbst programmieren zu können. Um das in einem so kompakten Buch zu erreichen, nehmen das Tempo und der Schwierigkeitsgrad im Verlauf des Buches schnell zu, was Sie beim Durcharbeiten entsprechend fordern wird.
Learn Model Context Protocol with Python
Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.
Running Windows Server 2025 on Microsoft Azure
Architect, migrate, and manage Windows Server on Azure Running Windows Server 2025 on Microsoft Azure is an up-to-date guide to migrating mission-critical Windows Server workloads to Azure. 5-time Microsoft MVP, William Panek, explains how to ensure hybrid cloud agility and advanced security while extending on-premises Windows Server deployments to the Azure cloud using hybrid services that perform a variety of vital functions. Panek demonstrates how to use a downloadable Microsoft app to set up the most common Azure hybrid services while conducting the necessary manual configuration required to maintain security and operability. You’ll learn how to use Windows Admin Center, integrated directly into Azure, to obtain a server-centric view of available cloud services. The book discusses the foundational principles of Azure IaaS, PaaS, and SaaS, incorporating explanations of compute, storage, and networking. It offers step-by-step tutorials for the tools used to implement hybrid solutions, like Windows Admin Center and Powershell. You’ll also learn how to implement identity management in hybrid environments with Azure AD DS on Azure IaaS and managed AD DS. Perfect for IT professionals managing on-premises Windows Server environments who are interested in making use of Azure to manage server workloads, Running Windows Server 2025 on Microsoft Azure is a start-to-finish roadmap to the core service models available on Azure. Deploy virtual machines running Windows ServerConfigure networking, storage, and security parametersUnderstand and use Windows Admin Center and PowershellImplement identity management with AD DSPlan hybrid and cloud-only migration, backup, and recoveryConduct manual configuration to maintain securityExtend on-premises functionality and capabilities with Azure Architect, migrate, and manage Windows Server on Azure In Running Windows Server 2025 on Microsoft Azure, 5-time Microsoft MVP, William Panek, walks you through the migration of business-critical Windows Server workloads to Azure while ensuring hybrid cloud agility and advanced security. You'll learn how to extend on-premises deployments of Windows Server to the Azure cloud using hybrid services that offer an array of vital functions. Will Panek explains how to use a downloadable app provided by Microsoft to set up the most common Azure hybrid services and shows you how to conduct the manual configuration required to customize and personalize your setup for your use case. He also demonstrates how to use Windows Admin Center, integrated directly into Azure, to obtain a server-centric view of available Azure services. Also inside the book: Discussions of foundational principles of Azure IaaS, PaaS, and SaaS, including compute, storage, and networkingStep-by-step tutorials for tools used to implement hybrid solutions, including Windows Admin Center and PowerShellImplementing identity management in hybrid scenarios, including Azure AD DS on Azure IaaS and managed AD DSPlanning and implementing hybrid and cloud migration, backup, and recovery scenarios Deploying Azure VMs running Windows Server Perfect for IT professionals managing on-premises Windows Server environments who are interested in using Azure to manage server workloads, Running Windows Server 2025 on Microsoft Azure helps you understand all the core service models available on Azure. WILLIAM PANEK is a 5-time Microsoft MVP with deep expertise in Windows and Windows Server. He has taught at Boston University, Clark University, and the University of Maryland. He has also consulted with and trained the United States Secret Service, United States Air Force, and the United States Army.
Thinking With Machines
Praise for THINKING WITH MACHINES “Clear, urgent, and deeply human. Dhar’s personal journey through AI makes Thinking with Machines feel less like science fiction and more like a mirror—helping us reflect on trust, resilience, and what it means to stay grounded in a world racing ahead.” —DAVID KO, CEO, Calm “At last, a book by one of the world’s leading AI researchers and practitioners that is both cutting edge and easy-to-read. Part history of the field, part handbook for the non-expert, part AI governance manifesto, and part author’s life journey, Thinking with Machines is indispensable reading for professionals, policymakers, and concerned citizens grappling with the paradigm shift of our times.” —PAUL SHEARD, Economist and Author of The Power of Money “In a world of wannabe AI experts, Vasant Dhar shines as someone who has played the long game, through successive AI hype cycles and winters. In this remarkable book, he provides a calm and reasoned way for us to decipher the world of AI and a playbook for dealing with the most important innovation of our time.” —NANDAN NILEKANI, Co-Founder and Chairman, Infosys, and Founding Chairman, UIDAI (Aadhaar) “In a world filled with AI experts who alternate between relentless hype and imminent doom, Vasant stands out as someone who sees shades of gray in this debate, and has the expertise and good sense to gauge AI’s strengths and limits. I strongly recommend his new book, Thinking with Machines, to everyone who is involved or interested in how AI will change the way we live and work, as I think it will.” —ASWATH DAMODARAN, New York University Professor and Valuation Guru “Vasant Dhar has a unique perspective: building trading algorithms that compound tiny edges into fortunes, then watching AI evolve from narrow applications to a general-purpose technology. In Thinking with Machines, he reveals when to trust algorithms, when to stay skeptical, and how to govern AI before it governs us. A must-read for our AI-powered future.” —ERIK BRYNJOLFSSON, Professor at Stanford University and Co-Founder of Workhelix, Inc. We are entering a brave new world, thanks to AI. We must shape this future to the advantage of everyone, and not just a select few. Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the 90s and was the first to teach AI at NYU Stern. Through his story and the lessons that it reveals, we learn about AI’s progress and reversals, its promises and dangers, and what we need to address before the machine gets away from us. Thinking with Machines is essential reading for AI enthusiasts and learners at all levels seeking knowledge on the greatest technological advancement of our time. VASANT DHAR is Robert A. Miller Professor at the Stern School of Business and Professor of Data Science at New York University. He is also the host of the Brave New World podcast and a frequent contributor to scientific journals and mainstream media about artificial intelligence.
Prompt Engineering
Prompt Engineering - Die Kunst, mit KI zu sprechen von Fabian Lang zeigt, wie man Sprachmodelle wie ChatGPT gezielt steuert, ihre Grenzen versteht und ihr volles Potenzial entfesselt.Von den technischen Grundlagen moderner KI über die Psychologie guter Prompts bis hin zu konkreten Strategien, Hacks und Praxisbeispielen führt dieses E-Book Schritt für Schritt durch die Welt des Prompt Engineerings. Es erklärt, wie man durch präzise Anweisungen, klare Struktur und kreatives Denken bessere, relevantere und verlässlichere Ergebnisse erzielt – egal ob im Berufsalltag, beim Schreiben, Programmieren oder Forschen.Abgerundet mit 25 sofort umsetzbaren Tipps bietet dieses E-Book alles, was man braucht, um vom passiven KI-Nutzer zum aktiven Gestalter intelligenter Dialoge zu werden.Aus dem Inhalt:Einleitung: Warum Prompt Engineering wichtig ist Wie funktioniert ein Sprachmodell? Grundlagen: Was ist Prompt Engineering? Techniken des Prompt Engineerings Konfiguration, Optimierung & Prompting Hacks Fazit: 25 Tipps zum Abschluss Zum Autor:Prof. Dr. Fabian Lang ist Professor für Betriebswirtschaftslehre an der Hochschule Hannover und forscht zu digitaler Transformation, Analytics und Künstlicher Intelligenz sowie unternehmerischer Entscheidungsunterstützung. Mit langjähriger Erfahrung in Wissenschaft und Praxis vermittelt er komplexe Technologien verständlich und praxisorientiert.
Der Einfluss von Computer Vision Systemen auf Unternehmen
Diese Arbeit untersucht den Einfluss von Computer Vision Systemen (CVS) auf den Wertbeitrag von Unternehmen. Fortschritte in den Bereichen Hardware, Netzwerkarchitektur und analytischen Methoden ermöglichen es, den menschlichen Prozess des Sehens, Erkennens und Entscheidens vollständig zu automatisieren. Daraus entsteht für Unternehmen ein immenses Potential durch den zielgerichteten Einsatz von CVS, den generierten Wert positiv zu beeinflussen oder gänzlich neue zu entwickeln. Mithilfe eines Mixed-Methods-Ansatzes wurden relevante Einflussfaktoren sowie deren Wechselwirkungen innerhalb des Forschungsbereichs analysiert. Der Schwerpunkt liegt hierbei auf dem Wertbeitrag und den damit verbundenen Geschäftsmodellen. Die Ergebnisse der qualitativen und quantitativen Studien mündeten in ein theoretisches Modell, das zentrale Zusammenhänge offenlegt. Auf dieser Basis wurden Gestaltungsempfehlungen für die erfolgreiche Einführung von CVS entwickelt. Damit leistet die Arbeit einen wichtigen Beitrag zur nachhaltigen und wertschöpfenden Integration von CVS in Unternehmen sowie zu deren wissenschaftlicher Betrachtung. EINLEITUNG.- NOTWENDIGKEIT DER BETRACHTUNG VON COMPUTER VISION SYSTEMEN IN UNTERNEHMEN.- FORSCHUNGSRAHMEN UND -DESIGN.- GANG DER ARBEIT.- DISKUSSION DER FORSCHUNGSERGEBNISSE.- FAZIT UND AUSBLICK.
Django REST APIs Demystified
This book is designed to help you master API development using the Django REST Framework (DRF). Written for seasoned developers, this book offers practical, hands-on guidance to becoming an expert in using DRF, providing in-depth coverage of the framework's features and best practices and their application in API development. The book will introduce you to and enable you to grasp advanced DRF topics such as authentication, permissions, throttling, caching, API versioning, and schema generation. Each chapter of the book focuses on a specific topic and introduces a standalone Django application that will ensure a structured and isolated learning experience for you. Real-world examples and step-by-step instructions provide a practical approach to building DRF APIs. The book also aids you in exploring customizing DRF for complex use cases, integrating third-party tools, and writing unit tests for secure, robust APIs. Special attention is given to working with multi-application Django projects, offering conventions to avoid conflicts and ensure clear API documentation. By the end of this book, you will have the skills to build secure, scalable, and maintainable APIs using DRF. Whether you're working on a startup, enterprise project, or personal venture, this book equips you with the knowledge and tools to create efficient, future-proof APIs. What You Will Learn How to manage and structure complex multi-application projects without conflicts, leveraging best practicesOptimizing API Performance and Implementing advanced techniques like throttling, caching, and efficient query handling to enhance API performance.Use versioning, customization, and extensible patterns to create APIs that adapt to evolving business requirements Who Is This Book For: Web developers, front-end engineers, full stack engineers, API documentation specialists, technical leads Chapter 1 - REST API Concepts.- Chapter 2 - Project Setup and Configuration.- Chapter 3 - Getting Started with Django REST Framework.- Chapter 4 - Postman.- Chapter 5 - Serializers and Views.- Chapter 6 - ViewsSets and Routers.