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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
As organizations worldwide seek to revamp their data strategies to leverage AI advancements and benefit from newfound capabilities, data quality emerges as the cornerstone for success. Without high-quality data, even the most advanced AI models falter. Enter Data Quality in the Age of AI, a detailed report that illuminates the crucial role of data quality in shaping effective data strategies.Packed with actionable insights, this report highlights the critical role of data quality in your overall data strategy. It equips teams and organizations with the knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for harnessing the power of data quality, enabling them to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and informed strategic decisions.
Learning iOS UI Development. Implement complex iOS user interfaces with ease using Swift
Justin Stenning, Yari D'areglia, Jonathan Grant
Through this comprehensive one-stop guide, you’ll get to grips with the entire UIKit framework and in a flash, you’ll be creating modern user interfaces for your iOS devices using Swift.Starting with an overview of the iOS drawing system and the available tools, you will then learn how to use these technologies to create adaptable layouts and custom elements for your applications. Next, you’ll be introduced to other topics such as animation and code-drawing with Core Graphics, which will give you all the knowledge you need to create astonishing user interfaces.By the end of this book, you will have a solid foundation in iOS user interface development and will have gained valuable insights on the process of building firm and complex UIs.
Nigel Poulton, Pushkar Joglekar
Kubernetes is a powerful container orchestration platform that enables efficient application deployment, scaling, and management. This book begins with foundational concepts, explaining Kubernetes architecture, control planes, worker nodes, and the declarative model. Readers will learn how to set up a Kubernetes environment using tools like Docker Desktop and cloud-based solutions.The book then covers core operational topics, including Pods, Deployments, Namespaces, and Services, providing hands-on exercises to reinforce learning. Networking, storage, and security are explored in depth, with real-world examples of managing applications, configuring RBAC, and using ConfigMaps and Secrets. Advanced topics such as StatefulSets, the Kubernetes API, and service discovery offer insights into optimizing and securing Kubernetes workloads.Security is a key focus, with chapters dedicated to API security, threat modeling, and real-world Kubernetes security practices. Readers will gain practical knowledge on securing clusters, managing access controls, and mitigating common threats. By the end, they will be equipped with the skills to deploy, scale, and secure Kubernetes environments effectively.
As Kubernetes (or K8s) becomes more prolific, managing large clusters at scale in a multi-cloud environment becomes more challenging – especially from a developer productivity and operational efficiency point of view. DevSecOps in Practice with VMware Tanzu addresses these challenges by automating the delivery of containerized workloads and controlling multi-cloud Kubernetes operations using Tanzu tools.This comprehensive guide begins with an overview of the VMWare Tanzu platform and discusses its tools for building useful and secure applications using the App Accelerator, Build Service, Catalog service, and API portal. Next, you’ll delve into running those applications efficiently at scale with Tanzu Kubernetes Grid and Tanzu Application Platform. As you advance, you’ll find out how to manage these applications, and control, observe, and connect them using Tanzu Mission Control, Tanzu Observability, and Tanzu Service Mesh. Finally, you’ll explore the architecture, capabilities, features, installation, configuration, implementation, and benefits of these services with the help of examples.By the end of this VMware book, you’ll have gained a thorough understanding of the VMWare Tanzu platform and be able to efficiently articulate and solve real-world business problems.
This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer.Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.
Fabrizio Romano, Heinrich Kruger
Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.