Computer und IT
PHP 8 Objects, Patterns, and Practice: Volume 2
Continue to develop elegant and rock-solid systems using PHP. With a focus on mastering essential development tools and applying best practices, Volume 2 of this 7th edition has been fully updated for PHP 8.3 and the most recent stable iterations of all tools and processes. It includes entirely new chapters covering Docker, Ansible, refactoring tools, and PHP on the command line. The volume also reintroduces a chapter on inline documentation and extends its coverage of continuous integration to include GitHub Actions.This book builds on the solid grounding provided by Volume 1 to cover the tools and practices needed to develop, test, and deploy robust code. You’ll see how to manage multiple developers and releases with git, create development environments, and deploy Composer to leverage thousands of tools and libraries and manage dependencies. You’ll also explore strategies for automated testing and continuous integration and learn essential techniques for deploying your code using Git and Ansible.After reading and using this book, you will have mastered a toolset that can support the entire lifecycle of a PHP project, from the creation of a flexible development environment, through collaboration, the use of standards-based best practice and documentation, to testing and deployment across multiple production servers.YOU WILL LEARN TO:* Master the tools and strategies for testing new code, and techniques for testing legacy projects* Create inline documentation for use by team members, users, and tools such as IDEs* Work with Selenium to test web interfaces* Manage your code and collaborate with your team using Git* Leverage continuous integration to build rock solid systems* Deploy your system and securely manage your project’s configuration with AnsibleWHO THIS BOOK IS FORAnyone with at least a basic knowledge of PHP who wants to learn about the practices and tools) that can make projects safe, elegant and stable.Chapter 1. Good (and Bad) Practice.- Chapter 2. Inline Documentation.- Chapter 3. PHP Standards.- Chapter 4. Refactoring and Standards Tools.- Chapter 5. Using and Creating Components with Composer.- Chapter 6. Version Control with Git.- Chapter 7. Testing.- Chapter 8. Vagrant.- Chapter 9. Docker.- Chapter 10. Ansible.- Chapter 11. PHP on the Command Line.- Chapter 12. Continuous Integration.- Chapter 13. PHP Practice.- Appendix A: A Simple Parser.
Superconducting Qubit Design Using Qiskit Metal
Understand and implement superconducting Qubit Design using Qiskit Metal in the Quantum Computing environment. This book provides practical knowledge and step-by-step guidance on designing, analyzing, and fabricating quantum chips.The book begins with an introduction to the fundamentals of quantum computing, covering essential terms, concepts, and the history of quantum computers. It explores the differences between quantum and classical computers and provides an overview of superconducting qubits. Next, you will learn the theory and practical aspects of superconducting qubits. Detailed mathematical and computational analyses of different qubit types and circuits are provided, along with a comprehensive guide to creating quantum circuits using Qiskit and Qiskit Metal. You will learn to design quantum chips and analyze components such as Josephson junctions and qubit couplers, using advanced methods such as the Lumped Oscillator Model, Quasi-Lumped Oscillator Model, and Energy Participation Ratio Method. Finally, the book covers the fabrication of superconducting qubits, detailing the manufacturing process, requirements, and methods to address fabrication issues.After reading this book, you will be able to advance your understanding and skills in this cutting-edge field, making complex concepts accessible and providing a roadmap for practical application.WHAT YOU WILL LEARN* Install the Qiskit framework for creating basic quantum computing circuits* Create your first superconducting qubit chip from scratch* Formulate the back-end mathematical and computational model for the generated superconducting chips* Understand the Quasi-LOM (lumped oscillator model) and how it differs from the LOMWHO THIS BOOK IS FORQuantum computing professionals working with superconducting qubitsCHAPTER 1: Introduction: Superconducting Qubits and Their Realizations.- CHAPTER 2: Theory of Superconducting Qubits.- CHAPTER 3: Qiskit and Introduction to Qiskit Metal.- CHAPTER 4: Qiskit Metal and Introduction to Chip Design.- CHAPTER 5: Lumped Oscillator Model Analysis.- CHAPTER 6: Energy-Participation Ratio Method for Quantization and Analysis.- CHAPTER 7: Modelling the HamiltonianTransmon Qubit Cooper-Pair Box in the Charge Basis.- CHAPTER 8: Manufacturing: Fabrication and Packaging of Qubits.
AWS Certified Security Study Guide
A PRACTICAL AND COMPREHENSIVE GUIDE TO THE AWS CERTIFIED SECURITY EXAM AND YOUR NEXT AWS CLOUD SECURITY JOBIn the newly revised second edition of AWS Certified Security Study Guide: Specialty (SCS-C02) Exam, a team of veteran Amazon Web Services cloud security experts delivers a comprehensive roadmap to succeeding on the challenging AWS Certified Security Specialty certification exam. You'll prepare for the exam faster and smarter with authoritative content, an assessment test, real-world examples, practical exercises, and updated chapter review questions. You'll also acquire the on-the-job skills you need to hit the ground running in your next AWS cloud security position.This book offers complete coverage of every tested exam objective, including threat detection, incident response, security logging and monitoring, cloud infrastructure security, identity and access management (IAM), data protection, and management and security governance.It also includes:* Complimentary access to the hands-on, digital Sybex learning environment and test bank, with hundreds of practice questions, flashcards, and a glossary of important terminology, accessible from a wide variety of devices* All the material you need to conquer the difficult SCS-C02 exam on your first attempt* Quick reference material ideal for fast on-the-job use in any AWS cloud security-related roleAn up-to-date and essential study companion for anyone preparing to take the AWS Certified Security (SCS-C02) exam, this study guide is also ideal for aspiring and practicing AWS cloud security professionals seeking a refresher on critical knowledge you'll need every day at your current or next job.ABOUT THE AUTHORSMAURICIO MUÑOZ is a Senior Manager of a Specialist Solutions Architects team at AWS in Latin America. DARÍO GOLDFARB is a Security Solutions Architect at AWS in Latin America. ALEXANDRE M.S.P. MORAES is a Director of TelTec, a Brazilian systems integrator focused on network design, security architecture, and cloud computing. OMNER BARAJAS is a Security Specialist Solutions Architect at AWS in Mexico. He has more than 18 years of professional experience in IT. ANDRÉS GONZÁLEZ SANTOS is a Senior Security Architect at AWS in Latin America. ROGERIO KASA is a Senior Security Solutions Architect at AWS in Latin America. Introduction xxi Assessment Test xxviiChapter 1 Security Fundamentals 1Chapter 2 Cloud Security Principles and Frameworks 45Chapter 3 Management and Security Governance 67Chapter 4 Identity and Access Management 87Chapter 5 Security Logging and Monitoring 131Chapter 6 Infrastructure Protection 191Chapter 7 Data Protection 293Chapter 8 Threat Detection and Incident Response 385Appendix A Answers to Review Questions 431Appendix B Creating Your Security Journey in AWS 441Appendix C AWS Security Services Portfolio 449Appendix D DevSecOps in AWS 467Index 501
Textual Intelligence
THE BOOK IS A MUST-HAVE RESOURCE FOR ANYONE LOOKING TO UNDERSTAND THE COMPLEXITIES OF GENERATIVE AI, OFFERING COMPREHENSIVE INSIGHTS INTO LLMS, EFFECTIVE TRAINING STRATEGIES, AND PRACTICAL APPLICATIONS.Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book:* Explores the real-world potential of large language models;* Introduces industry-changing AI solutions;* Provides advanced insights on AI and its models.AUDIENCEIndustry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI. MEENAKSHI MALIK, PHD is an assistant professor at BML Munjal University, India, with over 12 years of experience. She earned her computer science and engineering doctorate at Maharshi Dayanand University, Rohtak, in December 2023 and was honored by the Vice President for her exceptional PhD research. Her research interests include artificial intelligence, machine learning, deep learning, and big data. PREETI SHARMA, PHD is a faculty member at Chitkara University, Punjab, India. She is the author or co-author of over 12 publications in national and international journals and conferences. Dr. Sharma’s research interests include extensive work in blockchain and its diverse applications, as well as artificial intelligence and machine learning. SUSHEELA HOODA, PHD is an associate professor in the Department of Computer Science and Engineering, Chitkara University, Punjab, India. She has published over 30 technical research papers in national and international journals and conferences. Her research interests include software engineering, aspect-oriented software development, software testing, cloud computing, artificial intelligence, and machine learning.
CompTIA Cloud+ Study Guide
EFFECTIVELY PREPARE FOR THE UPDATED CLOUD+ CERTIFICATION EXAM WITH ACCURATE AND EXPERT GUIDANCE FROM SYBEXIn the updated fourth edition of CompTIA Cloud+ Study Guide: Exam CV0-004, cloud and DevOps consultant and tech educator Ben Piper walks you through the knowledge and skills you need to succeed on the updated CompTIA Cloud+ certification exam (CV0-004). You'll learn about cloud architecture and design concepts, how to implement and maintain a secure cloud environment, and successfully provision and configure cloud resources.The book explains every objective and topic covered by the CV0-004 exam, effectively measuring your readiness for the test and efficiently preparing you for it.INSIDE THE GUIDE:* One year of complimentary access after activation to the Sybex interactive learning environment and test bank, with practice questions, electronic flashcards, and a key term glossary* Complete coverage of every topic tested by the CV0-004 exam: Cloud architecture, Deployment, Operations, Security, DevOps Fundamentals, and Troubleshooting* Accurate updates consistent with the latest version of the Cloud+ examThe fourth edition of the CompTIA Cloud+ Study Guide is the ideal resource for anyone preparing for the updated Cloud+ CV0-004 exam. It's also an essential read for practicing cloud and networking professionals seeking practical insights into cloud computing, as well as those who want to expand or upgrade their IT skillset.ABOUT THE AUTHORBEN PIPER is an IT Cloud and DevOps consultant and co-author of the bestselling AWS Certified Cloud Practitioner Study Guide: Foundational Exam, first and second editions. He is also the co-author of AWS Certified Solutions Architect Study Guide: Associate Exam, second and third editions, and AWS Certified SysOps Administrator Practice Tests: Associate Exam, and CCNP Enterprise Certification Study Guide. You can contact Ben by visiting his website, benpiper.com. IntroductionAssessment TestAnswers to Assessment TestCHAPTER 1 Introducing Cloud Computing Configurations and DeploymentsCHAPTER 2 Cloud DeploymentsCHAPTER 3 Security in the CloudCHAPTER 4 Implementing Cloud SecurityCHAPTER 5 Maintaining Cloud OperationsCHAPTER 6 Disaster Recovery, Business Continuity, and Ongoing MaintenanceCHAPTER 7 Cloud ManagementCHAPTER 8 Cloud Management Baselines, Performance, and SLAsCHAPTER 9 TroubleshootingCHAPTER 10 Troubleshooting Networking and Security Issues and Understanding MethodologiesAPPENDIX A Answers to Review QuestionsAPPENDIX B Answers to Written LabsIndex
Die Macht der Ambivalenz
Beim Umgang mit persönlichem Wissen stellt sich die Frage, wie Gedanken und persönliche Zusammenhänge mit Hilfe von Medien langfristig abgelegt, wiederverwendet, kommuniziert und maschinell weiterverarbeitet werden können. Dabei zeigt sich ein ambivalentes Spannungsfeld zwischen intuitiver Arbeit mit persönlichen Gedanken auf der einen Seite und strukturierter Ordnung zur Wiederverwendung und maschinellen Verarbeitung auf der anderen Seite.In diesem Buch wird das Spannungsfeld beleuchtet und ein Anforderungskatalog für Lösungen präsentiert, die sich dem zu stellen versuchen, sogenannte Personal Knowledge Graphen (PKGs). Außerdem werden komplexe, persönliche Use Cases vorgestellt, die mit Hilfe eines vom Autor entwickelten Personal Knowledge Graph praktisch umgesetzt wurden. Sie stellen einige innovative Ansätze im Umgang mit dem Spannungsfeld vor. Zusätzlich wird eine Technologie-unabhängige Perspektive präsentiert, da vorhandene Lösungen noch in den Kinderschuhen stecken..- Einleitung.- Der reziprok-ambivalente Aspekt des menschlichen Denkens.- Medien.- Die Potentiale eines möglichen reziprok-ambivalenten Mediums.- Personal Knowledge Graph (PKG).- Der Zettelkasten von Niklas Luhmann.- Anforderungskatalog.- Ein reziprok-ambivalenter Ansatz: nOMod.- Die Herausforderungen.- Das Zusammenspiel der Unterstützungspotentiale und Ausblick.- Literaturverzeichnis.
Certified Kubernetes Administrator Study Companion
The Kubernetes landscape is constantly evolving, making it crucial to stay updated on the latest best practices and technologies. Using a structured approach and practical applications, this comprehensive study companion is designed to help individuals prepare for the Certified Kubernetes Administrator (CKA) exam.You’ll start by reviewing a range of essential topics that serve as prerequisites for certification, such as what Kubernetes is, its architecture, and key components like the Control Plane, ApiServer, and ETCD. The book then addresses workloads and scheduling, providing insights into pods, deployments, and various resource management techniques. Additionally, you’ll explore storage management in Kubernetes, detailing persistent volumes, access modes, and storage classes. Networking topics, including pod connectivity, CoreDNS, and network policies are covered as well.Throughout the book, troubleshooting techniques are emphasized, focusing on monitoring cluster components and application performance.Most importantly, the book offers guidance on exam preparation, including patterns, prerequisites, and last-minute tips, along with sample questions to aid your study process. Whether you're new to Kubernetes or actively studying for the CKA certification, this book will serve as your essential resource.WHAT YOU WILL LEARN* Kubernetes fundamentals, including architecture, components, and installation.* In-depth knowledge on workloads and scheduling, covering pods, deployments, and services.* Essential insights into storage management, networking, and cluster architecture.* Troubleshooting techniques for monitoring and resolving issues in Kubernetes environments.* Exam preparation tips, including sample questions and strategies for success.WHO THIS BOOK IS FORCollege students, recent graduates, IT professionals in the Cloud/DevOps domain, individuals transitioning into Cloud/DevOps roles, Kubernetes administrators, and DevOps engineers.PART I: Kubernetes Fundamentals.- Chapter 1: Introduction to Kubernetes.- Chapter 2: Kubernetes Architecture.- Chapter 3: Kubernetes Installation.- PART II: Workloads and Scheduling.- Chapter 4: Pods in Kubernetes.- Chapter 5: ReplicaSets, Replication Controller, and Deployments.- Chapter 6: Services in Kubernetes.- Chapter 7: NameSpaces.- Chapter 8: Daemonset, Cronjob, and job.- Chapter 9: Static Pods and Scheduling.- Chapter 10: Autoscaling in Kubernetes.- Chapter 11: Manifest Management tools.- Chapter 12: Authorization and Authentication.- Chapter 13: Network Policies.- PART III: Storage.- Chapter 14: Kubernetes Installation using KubeAdm.- Chapter 15: Storage in Kubernetes.- PART IV: Services and Networking.- Chapter 16: Kubernetes Networking.- Chapter 17: Operators and Custom Resources.- PART V: Cluster Architecture, Installation, and Configuration.- Chapter 18: Cluster Maintenance.- Chapter 19: Kubernetes version upgrade using kubeadm.- PART VI: Troubleshooting.- Chapter 20: Monitoring, Logging, and Alerting.- Chapter 21: Troubleshooting Application Failure.- Chapter 22: Troubleshooting Control Plane Failure.- Chapter 23: JSONPath.- Appendix: Tips and Tricks.- Sample Questions.
Automated Machine Learning and Industrial Applications
THE BOOK PROVIDES A COMPREHENSIVE UNDERSTANDING OF AUTOMATED MACHINE LEARNING’S TRANSFORMATIVE POTENTIAL ACROSS VARIOUS INDUSTRIES, EMPOWERING USERS TO SEAMLESSLY IMPLEMENT ADVANCED MACHINE LEARNING SOLUTIONS WITHOUT NEEDING EXTENSIVE EXPERTISE.Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML. Automated Machine Learning and Industrial Applications offers an overview of the basic architecture, evolution, and applications of AutoML. Potential applications in healthcare, banking, agriculture, aerospace, and security are discussed in terms of their frameworks, implementation, and evaluation. This book also explores the AutoML ecosystem, its integration with blockchain, and various open-source tools available on the AutoML platform. It serves as a practical guide for engineers and data scientists, offering valuable insights for decision-makers looking to integrate machine learning into their workflows. Readers will find the book:* Aims to explore current trends such as augmented reality, virtual reality, blockchain, open-source platforms, and Industry 4.0;* Serves as an effective guide for professionals, researchers, industrialists, data scientists, and application developers; * Explores technologies such as IoT, blockchain, artificial intelligence, and robotics, serving as a core guide for undergraduate and postgraduate students.AUDIENCEData and computer scientists, research scholars, professionals, and industrialists interested in technology for Industry 4.0 applications. E. GANGADEVI, PHD is an assistant professor in the Department of Computer Science at Loyola College, Chennai, India. She has published two patents, six books, over 18 research papers in international journals, and many book chapters. Her areas of research are machine learning, deep learning, IoT, and cloud computing. M. LAWANYA SHRI, PHD is an associate professor in the School of Information Technology and Engineering at Vellore Institute of Technology, India. She has published two books, two patents, and over 50 articles and papers in refereed journals and international conferences. Her research interests include blockchain technology, machine learning, cloud computing, and IOT. BALAMURUGAN BALUSAMY, PHD is an associate dean at Shiv Nadar University, Delhi, India with over 12 years of teaching experience. He has published more than 200 papers in international journals, 80 books, and given over 195 talks at various international events and symposia. His contributions focus on engineering education, blockchain, and data sciences. RAJESH KUMAR DHANARAJ, PHD is a professor in the School of Computing Science and Engineering at Symbiosis University, Pune, India. He has contributed to over 25 books on various technologies, 21 patents, and 53 articles and papers in various refereed journals and conferences. His research interests include machine learning, cyber-physical systems, and wireless sensor networks.
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence offers a corpus on intelligent automation systems using computer vision and AI. This book will cover everything from foundational concepts to real-world applications and ethical considerations. The book covers the major role, current trends, challenges, and possible solutions to existing challenges. With the knowledgeable insights of this book, readers gain actionable knowledge with case studies and the integration of various techniques, like facial recognition and natural language processing.This book contains 22 chapters on intelligent automation systems. The first section presents the study of intelligent automation systems, driven by artificial intelligence. This section further presents studies on the automation system and optimizing data flow management using AI algorithms. The second section provides a study of computer vision and how these systems automate tasks, like object recognition, image classification, and scene understanding. In addition, this section also explores the rapid advancements in computer vision and image processing and provides surveys on how AI enhances mental health services and patient outcomes. The third section explores the interconnection between neuroscience and artificial intelligence. Furthermore, this section provides studies of neural connections and how neuroscience aids in improving learning methods and validating AI modelsRupali Gill, Ph.D., is a professor and dean at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She is a distinguished researcher in image processing, cloud computing, artificial intelligence, and machine learning. She has published over 47 technical research papers in leading journals and conferences. Dr. Gill has also organized international conferences and published patents.Susheela Hooda, Ph.D., is an associate professor and head (academic delivery), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She researches areas in software engineering, aspect-oriented software development, software testing, cloud computing, etc. She has published over thirty technical research papers in leading journals and conferences. She has published more than 10 national and international patents.Durgesh Srivastava, Ph.D., is a professor and head (academic operations), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He is an enthusiastic and motivating technocrat who has organized and attended various workshops during his 15+ teaching career. His research interests include machine learning, soft computing, pattern recognition, software engineering, modeling, design, etc. He has published over 30 papers in reputed international/national journals and conferences/seminars. He has published several patents and copyrights in the field of computer software.Shilpi Harnal, Ph.D., is an associate professor at Chandigarh University, Punjab, India. She specializes in cloud computing. She has also worked on fog computing, underwater wireless sensor networks, artificial intelligence, etc. Dr. Harnal has published around 34 research papers in various international/national peer-reviewed journals, books, and conferences with 24 Scopus-indexed publications
AI Frameworks Enabled by Blockchain
Blockchain technology offers a powerful foundation for building trust, privacy and verifiability into AI frameworks. This book will focus on how a blockchain can enable AI frameworks and applications to scale in a responsible fashion, reshaping the future of numerous industries from financial markets to healthcare and education. You’ll see that in the next wave of AI products, blockchain can provide a “Trust Layer,” a fundamental feature previously only implemented for parties within a blockchain network. The provable consensus algorithms and oracles previously implemented in blockchains can be extended to autonomous agents that are integrated with large language models (LLMs) and future applications. Finally, you’ll learn that safety is a major concern for practical applications of AI and blockchain can help mitigate threats due to the decentralized nature. As such, there will be significant discourse on how blockchain can provide enhanced security against prompt injections, LLM-hijacking for dangerous information and privacy. These ideas were studied rigorously when large financial institutions were releasing their own blockchains and distributed ledger protocols with a heavy focus privacy. AI is undergoing a Cambrian explosion this year with foundational models emerging for all major domains of study, however, most such models lack the capacity to externally validate for the “correctness” of a fact, or reply made by the LLM. Similarly, there are no definitive methods to distinguish between meaningful insights and hallucination. These challenges remain at the forefront of AI research, and AI Frameworks Enabled by Blockchain aims to translate technical literature into actionable and practical tips for the AI domain. What You Will Learn · Bring a layer of accuracy to generative AI where a non-generative component behaves as guardrails · Protect users from harmful biases as well as hallucinations. · See how blockchain plays a role in aligning AI with human interests. · Review use-cases and real-world applications from parties that have invested a significant amount in building technology stacks utilizing both. Who This Book Is For Enterprise users and policy makers in the field of Professional and Applied Computing Introduction.- 1. AI Enabled Blockchain.- 2.Behold the Dreamers.- 3.The Gold Rush: Mining Bitcoin.- 4.Foundations of a blockchain beyond Bitcoin.- 5. Unpacking Ethereum.- 6.Decentralized organizations.- 7. The DAO Hacked.- 8.High-Performance Decentralized Computing.- 9.Blockchain in Funding for Science.- 10.Large Language Multimodesl and Autonomous Agents.- 11.Generative AI in Healthcare.- 12.Technological Revolutions and Financial Capital.- 13.Blockchain-based Consortia as a Service.- 14.Blockchain-based Standards for Healthcare and AI.- 15.Blockchain in Government and Enterprise.- 16.Beyond AI and Blockchain: A roundtable conversation.
Privileged Access Management
Zero trust is a strategy that identifies critical, high-risk resources and greatly reduces the risk of a breach. Zero trust accomplishes this by leveraging key tools, technologies, and governance around Privileged Access Management (PAM). These identities and accounts that have elevated access are the key targets of the bad actors and nearly every event, breach, or incident that occurs is the result of a privileged account being broken into.Many organizations struggle to control these elevated accounts, what tools to pick, how to implement them correctly, and implement proper governance to ensure success in their zero trust strategy. This book defines a strategy for zero trust success that includes a privileged access strategy with key tactical decisions and actions to guarantee victory in the never-ending war against the bad actors.What You Will Learn:* The foundations of Zero Trust security and Privileged Access Management.* Tie-ins to the ZT strategy and discussions about successful implementation with strategy and governance.* How to assess your security landscape including current state, risk-based gaps, tool and technology selection, and assessment output.* A step-by-step strategy for Implementation, including planning, execution, governance, and root-cause analysis.Who This Book is for:* C-level suite: not designed to be overly technical, but cover material enough to allow this level to be conversant in strategy and leadership needs to success.* Director-level in Cyber and IT: this level of personnel are above the individual contributors (IC) and require the information in this book to translate the strategy goals set by C-suite and the tactics required for the ICs to implement and govern.* GRC leaders and staff.* Individual Contributors: while not designed to be a technical manual for engineering staff, it does provide a Rosetta Stone for themto understand how important strategy and governance are to their success. Chapter 1: Privileged Access Management: The Essentials- Chapter 2: Zero Trust: Origins and Evolutions.- Chapter 3: Assessments and Solutions.- Chapter 4: PAM Governance.- Chapter 5: Blueprint for Successfull Implementation.- Chapter 6: Conclusion.
Modern Django Web Development
Django has evolved into a powerful full-stack framework ideal for developing data-driven web applications, continuously expanding with new tools for asynchronous solutions, APIs, and real-time applications. This book explores modern Django development best practices, including Django Channels for WebSockets, Django REST Framework (DRF) for REST APIs, Graphene and Strawberry for GraphQL APIs, and integrating a front-end built with React The content is structured into two main parts, covering both fundamental and advanced concepts in a practical and digestible manner.The first part introduces Django's core concepts, starting with an overview of web development and Python’s asyncio module for asynchronous processing. It then walks you through Django installation, project setup, and the admin interface. The Model-View-Template (MVT) architecture is explained in depth, with chapters on models, views, and templates, illustrating real-world examples. Additionally, it covers database interactions, introducing SQLAlchemy ORM and MongoDB integration to extend Django’s capabilities beyond its default ORM.The second part delves into advanced Django features and the broader ecosystem. Topics include authentication, security, messaging, and reusable apps such as the Django toolbar. REST API development with Django REST Framework is explored, followed by an introduction to building GraphQL APIs using Graphene and Strawberry. A dedicated chapter covers Django Channels and the WebSocket protocol for real-time applications. _Modern Django Web Development _concludes with integrating React to develop front-end clients for Django-based REST, GraphQL, and WebSocket APIs, enabling a full-stack development experience.YOU WILL:* Explore the full spectrum of modern Django development* Learn how to use SQLAlchemy MongoDB with Django* Understand Django Channels for asynchronous web apps* Explore DRF for building REST API in Django* Learn how to build GraphQL API with Graphene and Strawberry* Understand how to develop a Django-React appWHO IS IT FOR:Software developers, web developers and engineers who are interested in adding Django to their development skillset. Python Developers can also leverage the power of modern Django with the help of this practical guide.Chapter 1: Django Basics.- Chapter 2: Django- First Steps.- Chapter 3: Django ORM.- Chapter 4: Django Templates.- Chapter 5: Django using Databases.- Chapter 6: Advanced Django.- Chapter 7: Restful Django.- Chapter 8: GraphQL Django.- Chapter 9: Django Channels.- Chapter 10: ReactJS with Django.
Machine Learning
Dieses Buch richtet sich an alle, welche die enormen Potenziale maschinellen Lernens für wissenschaftliche Fragestellungen und innovative Ansätze in Studium oder Beruf nutzen möchten. Denn maschinelles Lernen eröffnet neue Möglichkeiten zum effizienten Umgang mit umfassenden, komplex strukturierten und sich schnell entwickelnden Daten. Zunächst werden Grundideen und typische Anwendungsfelder maschinellen Lernens sowie dessen Vorzüge gegenüber inferenzstatistischen Verfahren erläutert. Daran schließen praktische Hinweise dazu an, wie Daten für maschinelle Lernprozesse aufbereitet werden und wie diese durch Anpassung verschiedener Parameter möglichst optimale Ergebnisse erzielen können. Von den hierzu einsetzbaren Modellen werden die gängigsten theoretisch und anhand anschaulicher Beispiele vorgestellt. Auch auf verschiedene Optionen zur besseren Interpretierbarkeit sowie auf spezifische Limitationen von Analyseresultaten wird eingegangen. Weiterführende Anwendungsfälle und verständlich kommentierte Analysecodes sind auf dem GitHub-Repositorium zu diesem Buch auf SpringerLink online verfügbar.
Apache Kafka (2. Auflg.)
Apache Kafka ist der Goldstandard für Streaming- Datenplattformen und Kernbestandteil moderner Echtzeitdaten-Architekturen. Es ermöglicht einen nahtlosen Datenfluss zwischen verschiedenen Services, IT-Systemen und Teams in Unternehmen. Kafkas solides Design gewährleistet hohe Ausfallsicherheit und reibungslose Skalierbarkeit.Dieses Buch ist ein praktischer Leitfaden für IT-Fachleute, die Kafka in datenintensive Anwendungen und Infrastrukturen integrieren. Von der Einrichtung von Kafka-Clustern über das Produzieren und Konsumieren von Nachrichten bis zur Integration in Unternehmenssysteme – leicht verständlich wird das nötige Wissen für zuverlässige und skalierbare Kafka-Anwendungen vermittelt.Neu in der 2. Auflage: Das Buch wurde vollständig überarbeitet und um den umfangreichen Teil „Kafka im Unternehmenseinsatz“ erweitert. Dieser behandelt ausführlich Kafka Connect zur Systemintegration, Stream-Processing, Governance-Aspekte sowie eine praxisnahe Referenzarchitektur. Zusätzlich bietet das Buch erweiterte Einblicke in Monitoring, Desaster Management und Kafkas Rolle in modernen Datenarchitekturen.Anatoly Zelenin und Alexander Kropp begeistern sich seit ihrer Kindheit für IT und arbeiten heute als Experten für Echtzeitdaten und moderne IT-Architekturen mit Fokus auf Apache Kafka. Anatoly begeistert mit seinen Trainings Teams und bringt sie aufs nächste Kafka-Level. Alexander gestaltet aktiv Cloud- Plattformen mit Kubernetes und entwickelt kreative IT-Lösungen. Als Teil der DataFlow Academy verhelfen sie Unternehmen durch praxisnahe Trainings und Beratung zum Erfolg mit Echtzeitdaten.Aus dem Inhalt Kafka-Grundlagen und Architektur: Vom Aufbau bis zur Verwaltung von Clustern Zentrale Konzepte: Topics, Nachrichten, verteilte Logs und Zuverlässigkeit Tiefer Einblick: Cluster-Management, Nachrichten produzieren, konsumieren und bereinigen Kafka im Unternehmenseinsatz: Kafka Connect, Stream-Processing, Governance und Referenzarchitektur Betriebliche Aspekte: Monitoring, Alerting und Desaster Management Kafka in modernen Architekturen: Vergleich mit anderen Technologien und praktische Einsatzszenarien
Narrative SQL
This book addresses an important gap in data analytics education: the interplay between complex query-making and storytelling. While many resources cover the fundamentals of SQL queries and the technical skills required to manipulate data, few also explore moving beyond the numbers and figures to tell stories that drive strategic business decisions. By weaving together both SQL and narrative mechanics, author Hamed Tabrizchi has assembled a powerful tool for data analysts, aspiring database professionals, and business intelligence specialists.A strong foundation is laid in the first part of the book, which examines the technical skills necessary to access and manipulate data. You’ll explore foundational SQL commands, advanced querying techniques, data manipulation, data integrity, and optimization of queries for performance. The second half moves from the "how" of SQL to the "why," examining the meaning-making practices we can apply to data, and the stories data can tell. You'll learn how SQL queries can be interpreted, how to prepare data for visualization, and most importantly, how to convey the findings in a way that engages and informs the audience. In each chapter, practical exercises reinforce the techniques learned and help you apply them in real-world situations. In addition to strengthening technical skills, these exercises encourage readers to take a critical view of the data they are studying, considering the larger story it represents.Upon completing this book, you will not only be proficient in SQL, but also possess the key skill of converting data into narratives that can influence strategic direction and operational decisions in the modern workplace.WHAT YOU WILL LEARN* Advanced SQL Techniques: Master data manipulation and retrieval skills using advanced SQL queries* Data Analysis Proficiency: Develop analytical skills to uncover key insights and understand significant data patterns* Storytelling with Data: Learn to translate data analytics into compelling narratives for effective stakeholder communication* Complex Querying Skills: Understand advanced SQL concepts such as common table expressions (CTEs), subqueries, and window functions* Query Optimization: Optimize query execution time, resource usage, and scalability by mastering Indexes and Views* Practical Application of Techniques: Gain hands-on experience with practical examples of advanced SQL techniques in real-world data analysis scenarios* Effective Data Presentation: Discover strategies for visually presenting data stories to enhance engagement and understanding among diverse audiencesWHO THIS BOOK IS FORData analysts and business analysts, SQL developers, data-driven managers and executives and academics and students looking to enhance advanced querying and narrative building skills to better interpret and convey data.Chapter 1: The Storyteller’s Database.- Chapter 2: Starting with SELECT.- Chapter 3: Filtering Facts with WHERE.- Chapter 4: Complex Characters with JOINS.- Chapter 5: Aggregating Acts.- Chapter 6: Ordering the Plot with ORDER BY and LIMIT.- Chapter 7: Dynamic Dialogues with Subqueries.- Chapter 8: Conditional Logic in Data Plotting. Chapter 9: Optimizing Your Script with Indexes and Views.- Chapter 10: Analytics Alchemy: Turning Data into Gold.- Chapter 11: The Grand Finale: Presenting Your Data Story.- Appendix A: SQL Syntax Reference Guide.- Appendix B: Glossary of Terms.- Appendix C: PostgreSQL Elements Reference.
IT-Sicherheitsmanagement (4. Auflg.)
Mit einem durchdachten IT-Sicherheitskonzept zu mehr InformationssicherheitIT-Security-Management praxisnah erläutert: Sicherheitsrichtlinien, IT Compliance, Business Continuity Management, Risikomanagement und Security AuditAufbau eines Information Security Management Systems (ISMS) nach ISO 27001 und BSI-Grundschutz Umfassendes Praxiswissen für IT-Security-ManagerDaten werden heutzutage in Public Clouds verlagert und dort verarbeitet, auf Mobiltelefonen gespeichert, über Chat-Apps geteilt oder im Rahmen von Industrie 4.0 in einer Größenordnung erfasst, die bislang kaum denkbar war. IT-Security-Manager müssen die entsprechenden Maßnahmen nicht nur an diese Veränderungen anpassen, sondern auch an die EU-Datenschutz-Grundverordnung, das IT-Sicherheitsgesetz, die Anforderungen von Kunden oder das China Cybersecurity Law. Dieser Praxisleitfaden wird Ihnen als IT-Security-Manager helfen, sich in der riesigen Menge an Einzelthemen und Aufgaben zurechtzufinden.Typische Fragestellungen und Antworten für den BerufsalltagJedes Kapitel beschreibt ausführlich jeweils einen Bereich der IT-Security. Die notwendigen theoretischen Grundlagen wechseln sich dabei ab mit Tipps aus der Praxis für die Praxis, mit für den Berufsalltag typischen Fragestellungen, vielen konkreten Beispielen und hilfreichen Checklisten. Alle Teilgebiete werden abschließend in einem Kapitel zusammengeführt, das die Einführung und Weiterentwicklung eines IT-Sicherheitsmanagements auf Basis der ISO-27000-Normen-Familie unter Beachtung der datenschutzrechtlichen Bestimmungen der EU-DSGVO behandelt.Praxisleitfaden und NachschlagewerkSo erhalten Sie sowohl einen kompetenten Praxisleitfaden – auch für den Berufseinstieg – als auch ein umfassendes Nachschlagewerk für Ihre tägliche Arbeit.Aus dem Inhalt: Umfang und Aufgabe des IT-Security-ManagementsOrganisation der IT-SecurityIT-ComplianceKundenaudits am Beispiel TISAXVerzahnung von Informationssicherheit und DatenschutzOrganisation von RichtlinienBetrieb der IT-SecurityIT Business Continuity ManagementIT-NotfallmanagementVerfügbarkeitsmanagementTechnische IT-SecurityIT-RisikomanagementSicherheitsmonitoringIT-Security-AuditManagement von Sicherheitsereignissen und IT-ForensikKennzahlenPraxis: Aufbau eines ISMSAwareness und Schulung Thomas W. Harich arbeitet als Leiter der Information Security in einem großen deutschen Industriekonzern. Nebenberuflich ist er als Dozent und IT-Berater tätig. Seine Schwerpunkte liegen in der Erstellung von IT-Sicherheitskonzepten und deren praktischer Umsetzung in einem international geprägten IT-Umfeld.
Building AI Agents with LLMs, RAG, and Knowledge Graphs
This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together. By the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.
Next Generation Data Science and Blockchain Technology for Industry 5.0
A GROUNDBREAKING VIEW OF THE INDUSTRIAL MODELS OF THE FUTUREIndustry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace. Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business. Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find:* Incorporation of tools including statistical analysis, machine learning, graph analysis, and more* Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others* Self-assessment tools to facilitate understandingNext Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology. AMIT KUMAR TYAGI, PHD, is Assistant Professor in the Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India. He has published widely on blockchain, deep learning, artificial intelligence, and other cutting-edge technologies and their industrial applications.
Artificial Intelligence in Healthcare for the Elderly
Artificial Intelligence in Healthcare for the Elderly provides valuable insights into how artificial intelligence can transform healthcare through personalized monitoring, ethical considerations, and real-world applications. Artificial intelligence has the potential to revolutionize healthcare for the elderly by providing efficient and personalized monitoring and care. Though this technology has the potential to revolutionize care, there is currently little information on the potential of this technology in elderly healthcare. Artificial Intelligence in Healthcare for the Elderly explores AI algorithms that can transform health monitoring for older adults by analyzing data from wearable devices, electronic health records, and other sources that provide real-time data analysis, detect early warning signs of diseases, and offer personalized treatment. This book addresses the critical ethical, societal, and practical aspects of elderly care that are often overlooked with insights from various disciplines, including healthcare, technology, ethics, and sociology, to offer a holistic perspective on AI’s impact on aging. Artificial Intelligence in Healthcare for the Elderly offers an all-encompassing perspective on AI technologies employed in elderly healthcare by examining the specific types of technology used and delineating its role in elderly healthcare, drawing insights from existing research and case studies. SANDEEP SHARMA, PHD is an assistant professor in Bharati Vidyapeeth’s College of Engineering. He has published more than 15 research papers in reputed journals and one patent. His main area of focus is the use of heuristic techniques for finding the optimal parameters of FACTS devices in power systems. PREETI NAGRATH, PHD is an associate professor in Bharati Vidyapeeth’s College of Engineering with more than 20 years of academic experience. She has published over 80 research papers in international journals and international conferences, four books, and two patents. His research interests include network security, delay-tolerant networks, machine learning, and deep learning. BHAWNA SINGLA, PHD is a professor in the Computer Science and Engineering Department at the Panipat Institute of Engineering and Technology. She has published two edited books, three patents, and 30 research articles in international journals and conferences. His research interests include artificial intelligence, machine learning, data science, and networking JOEL J.P.C. RODRIGUES is a professor in the College of Computer Science and Technology at the China University of Petroleum, a senior researcher at the Instituto de Telecomunicações in Portugal, and a collaborator for the post-graduation program on teleinformatics engineering at the Federal University of Ceará in Brazil. He has authored and co-authored over 950 papers in refereed international journals and conferences, three books, and two patents. His research interests include sensor networks, Internet of Things, eHealth, vehicular networks, and cloud computing.
Blockchain in Health Sciences
THE BOOK PROVIDES A COMPREHENSIVE UNDERSTANDING OF HOW BLOCKCHAIN TECHNOLOGY CAN REVOLUTIONIZE HEALTHCARE BY IMPROVING PATIENT OUTCOMES, ENHANCING DATA PRIVACY, AND DRIVING INNOVATIVE SOLUTIONS TO INDUSTRY CHALLENGES.Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research. Readers will find the volume:* Introduces the fundamentals of blockchain and its integration with IoT in healthcare;* Provides practical applications across patient records, drug supply chains, and genomics research;* Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.AUDIENCEHealthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare. ARYAN CHAUDHARY is the Chief Scientific Advisor, BioTech Sphere Research, India. He has published academic papers on public and digital health in international journals and participated as a keynote speaker in many national and international conferences. His research includes the integration of Internet of Things and sensor technology for gathering vital signs through ambulatory monitoring, the functionality of artificial intelligence, machine learning for big data analytics for faster intervention, and tracking of prognosis and research for effective clinical research for the future development of treatments, drugs, pathological tests, and the supply system. RASHMI SINGH, PHD is a professor and placement coordinator at the Amity Institute of Applied Sciences with over 20 years of experience. She has published two books, 40 patents, and 18 articles in national and international journals of repute. Her research interests include fuzzy, soft, and rough set theory, near structures, and mathematics in artificial intelligence and machine learning. GAURAV AGARWAL, PHD is an associate professor and program chair in the School of Computer Science and Engineering at Galgotias University with over 20 years of teaching experience. He has published ten articles in international journals and conferences and eight patents. His research interests include web usability and accessibility, deep learning, machine learning, and large language models.
Python für Dummies - Alles-in-einem-Band
Python programmieren lernen lohnt sich. Es ist eine moderne sich ständig weiterentwickelnde Programmiersprache. Dieses Buch hilft Ihnen, wenn Sie Python von der Pike auf lernen wollen, aber auch mehr als nur die Grundlagen verstehen wollen. Johannes Hofmeister erklärt Ihnen Grundlagen wie Syntax, Module und Basic-Funktionen und schreitet dann zu fort zu höheren Konzepten wie Funktionen und Objekte. Er zeigt Ihnen auch, wie Sie diese testen können, um fehlerfrei Software zu schreiben. Danach widmet sich der Autor Internettechnologien wie E-Mail, Apis und Browsing und erklärt Ihnen, wie Sie mit Django eine Webanwendung bauen. Sie erfahren, wie Sie mithilfe von Python komplexe Datensätze analysieren und zuletzt beweist Ihnen der Autor, wie vielseitig nutzbar Python ist.Johannes Hofmeister lebt in Heidelberg. Am Psychologischen Institut der Universität Heidelberg erforscht er zur Zeit, was Code verständlich macht. Als Softwareentwickler und Berater hat er in großen und kleinen Unternehmen C#, Java und JavaScript eingesetzt, aber am liebsten liest und schreibt er Python-Code.
Leading The Shift
Leading the Shift: Enhancing Operational Efficiency With AI is a groundbreaking, experience-led guide for education leaders seeking to harness the power of artificial intelligence to drive meaningful transformation in their institutions. Written by Chris Loveday-a Vice Principal who led a sector-first AI implementation in a Sixth Form College, this book reframes AI not as a buzzword, but as a powerful tool for solving real, immediate operational challenges in education.While AI headlines often focus on classroom disruption or futuristic teaching tools, Loveday directs attention to where the greatest and most urgent gains can be made: in the back office. From automating data-heavy processes to reducing staff workload and improving service delivery, the book shows how AI, when applied thoughtfully, can create capacity, reduce pressure, and enhance outcomes for staff and students alike.Blending strategic insight with practical application, Leading the Shift walks readers through the entire implementation journey, from initial leadership buy-in and cultural groundwork to the development of bespoke AI agents and scaled deployment. It draws on established change models such as Burke-Litwin, Kotter, ADKAR, and Lewin's, integrating these frameworks with lived experience to demonstrate how to lead responsibly in a time of rapid technological advancement.Key features include:Real-World Case Studies: Learn how one college saved hundreds of hours through in-house AI agents built to automate results processing, ID verification, and student support.Ethical and Inclusive Design: Discover how to implement AI solutions that are safe, GDPR-compliant, and built around staff and student wellbeing.Strategic Leadership Tools: Use reflection questions, audit templates, and planning frameworks to inform your own AI roadmap.Customisation Over Commercialisation: Understand why building your own AI agents in-house can provide better value, flexibility, and control than off-the-shelf tools.Culture as Catalyst: Explore how digital trust, psychological safety, and inclusive communication are essential for sustainable innovation.This is not a technical manual or speculative vision. It's a leadership resource for education professionals, school business managers, senior leaders, MAT executives, governors, and policymakers, who want to act decisively and ethically in the face of emerging technology.Whether you're just starting your AI journey or seeking to scale an existing digital strategy, Leading the Shift offers clarity, courage, and a deeply practical blueprint. It's a must-read for anyone who believes that education can, and must, work smarter, not harder, in the age of intelligent automation.Join Chris Loveday in shaping the future of education, one intentional, values-led decision at a time.
Canva für Dummies
SO WERDEN SIE ZUM DESIGN-PROFIMit Canva gestalten Sie einfach und effektiv Ihre Inhalte, von Druckprodukten über Web-Banner und Social-Media-Inhalte bis hin zu Präsentationen oder Videos. Jesse Stay zeigt Ihnen mit vielen Beispielen aus der Praxis, wie Sie in Canva effektiv arbeiten und schnell gute Resultate erzielen. Angefangen bei den grundlegenden Werkzeugen und Funktionen enthält dieses Buch auch Kapitel zu den Basiskenntnissen des Grafikdesigns, der Markenbildung und effektiver visueller Kommunikation. Mit den Tipps und Tricks in diesem Buch können Sie Ihre Designträume verwirklichen. SIE ERFAHREN* Welche Designprinzipien Sie für Ihre Marke anwenden sollten* Wie Sie Visitenkarten gestalten, Videos erstellen oder Designs animieren* Wie die KI-gestützten Tools und Automatisierungsfunktionen von Canva Ihren Arbeitstag erleichternJESSE STAY ist ein erfahrener Autor und Experte für digitale Medien und bringt eine Fülle von Wissen über Social Media Marketing und Technologie in seine Projekte ein. Er arbeitete im Entwicklungsteam von Canva. Einführung 19TEIL I: ERSTE SCHRITTE MIT CANVA 23Kapitel 1: Die ersten Schritte mit Canva 25Kapitel 2: Ihr erstes Design in Canva 41Kapitel 3: Canva- Designer werden 65TEIL II: CANVA FÜR JEDEN ZWECK ERKUNDEN 91Kapitel 4: Tiefer in die Canva- Techniken eintauchen 93Kapitel 5: Canva für Ihre Social- Media- Präsenz 121Kapitel 6: Canva für allgemeine Geschäftszwecke nutzen 147Kapitel 7: Canva für Marketingzwecke 159TEIL III: DAS CANVA- ABENTEUER GEHT WEITER! 183Kapitel 8: Canva in Kombination mit KI zur Rationalisierung und Automatisierung nutzen 185Kapitel 9: Funktionen für Zusammenarbeit und Teams 201Kapitel 10: Über die Grundlagen hinaus: Canva- Expertise erwerben 221TEIL IV: DER TOP- TEN- TEIL 241Kapitel 11: Zehn Canva- Designtipps für maximale Wirkung 243Kapitel 12: Zehn Tipps zur Verbesserung organisatorischer Arbeiten mit Canva 257Stichwortverzeichnis 269
Yocto Project Customization for Linux
Embedded computers have become very complex and are now called upon to solve a range of increasingly advanced problems. This added complexity means embedded systems need even more complex operating systems in order to work as required.The Yocto Project is now the effective standard for most embedded systems around the world due to its robustness and high configuration, availability of software packages and the ability to support several hardware platforms with common mechanisms so that developers can deploy their systems with ease regardless of the machine._Yocto Project Customization for Linux_ is not just another book talking about the Yocto Project, but shows how the Yocto Build system really works. Developers can easily and quickly move from the demo Yocto Project distributions that silicon vendors rely on for their development kits to their final product. This book is a practical guide teaching you everything you need to know about writing new recipes and customizing existing ones by explaining the Build System internals and how to manage them for your ongoing projects.YOU WILL LEARN:* To understand Yocto Project internals and how Yocto Project tools work* How to define a new meta layer or a new machine/distro in order to generate a custom Yocto Project image for their embedded system* To generate a new Yocto Project recipe for your software, or to alter an already existing recipe in order to fit your needs* How to update one or more packages on their running Yocto Project system* How to optimize and effectively manage the Yocto Build SystemWHO IS IT FOR:This is for embedded developers as well as Linux users who want to know more how to use Yocto1: Setting up the Build Environment.-2: Installing the Sources.-3: Yocto Basics.- 4: Yocto Tools.- 5: BitBake Internals.- 6: Recipes.- 7: Generating and Managing Layers.- 8: Adding New Hardware.- 9: C Application Recipes.- 10: Python Application Recipes.- 11: Miscellaneous Recipes.- 12: Image Recipes.- 13: Optimization and Best Practices.