Bøger udgivet af Packt Publishing

Take your organization's data maturity to the next level by operationalizing data governanceKey FeaturesDevelop the mindset and skills essential for successful data stewardshipApply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardshipFollow a step-by-step program to develop a data operating model and implement data stewardship effectivelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the competitive data-centric world, mastering data stewardship is not just a requirement-it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You'll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You'll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you'll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.By the end of this book, you'll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.What you will learnEnhance your job prospects by understanding the data stewardship field, roles, and responsibilitiesDiscover how to develop a data strategy and translate it into a functional data operating modelDevelop an effective and efficient data stewardship programGain practical experience of establishing a data stewardship initiativeImplement purposeful governance with measurable ROIPrioritize data use cases with the value and effort matrixWho this book is forThis book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.Table of ContentsFrom Business Strategy to Data Strategy to Data StewardshipHow Data Stewardship can help your organizationGetting Started with the Data Stewardship ProgramDeveloping a Comprehensive Data Management StrategyPeople, Process, TechnologyEstablishing a Data Governance OrganizationData Steward Roles and ResponsibilitiesEffective Data StewardshipSupercharge Data Governance and Stewardship with GPTData Stewardship Best PracticesTheory versus Real LifeCase Studies

Harness the powerful features of .NET MAUI, the evolution of Xamarin.Forms, to create multi-platform app projects using location services, the weather API, machine learning, and much moreKey Features- Leverage .NET MAUI through real-world projects, from weather apps to real-time multiplayer games with SignalR and Azure Functions- Explore the essential features of .NET MAUI such as Shell, CollectionView, and CarouselView- Go beyond the basics with advanced topics like machine learning using TensorFlow and ML.NET- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis third edition of .NET MAUI Projects explores the features of .NET MAUI, a lightweight multi-platform development toolkit for building apps with a rich user interface. Updated to cover the latest features of .NET MAUI, including CollectionView and Shell, this book delves into concepts such as machine learning and cloud services.Starting with an overview of .NET Core and how it works, this book shares tips for choosing the right development environment for planning multi-platform apps. You'll then build your first .NET MAUI app and advance to learning how to use Shell to implement app architecture. Progressing in complexity, the projects guide you through creating apps, ranging from a location tracker and weather map to machine learning and multiplayer games. Further, the book will take you through modern mobile development frameworks such as SQLite, .NET Core, and ML.NET, empowering you to customize your apps for Windows, macOS, Android, and iOS platforms for native-like performance. Engaging examples are woven throughout the book so you can grasp essential concepts by writing code rather than extensive theory.By the end of this book, you'll be ready to develop your own native apps using .NET MAUI and associated technologies such as .NET Core, Visual Studio 2022, and C#.What you will learn- Set up .NET MAUI to build native apps for multiple platforms using its single project capabilities- Understand the core aspects of developing a mobile app, such as layout, UX, and rendering- Use custom handlers for platform-specific access- Discover how to create custom layouts for your apps with .NET MAUI Shell- Implement serverless services in your .NET MAUI apps using Azure SignalR- Create a .NET MAUI Blazor application leveraging the power of web technologies- Build and train machine learning models using ML.NET and Azure Cognitive ServicesWho this book is forThis book is for C# and .NET developers who want to learn .NET MAUI and get started with native .NET Core mobile application development from the ground up. Working knowledge of Visual Studio and C# will help you to get the most out of this book.Table of Contents- Introduction to .NET MAUI- Building Our First .NET MAUI App- Converting a Xamarin.Forms App to .NET MAUI- Building a News App Using .NET MAUI Shell- Building a Matchmaking App with a Rich UX Using Animations- Building a Photo Gallery App Using CollectionView and CarouselView- Building a Location Tracking App Using GPS and Maps- Building a Weather App for Multiple Form Factors- Setting Up a Backend for Sticks and Squares Using Azure Services- Building a Real-Time Game- Building a Calculator Using .NET MAUI Blazor- Hot Dog or Not Hot Dog Using Machine Learning

Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery processKey FeaturesFollow the construction of a Jenkins CI/CD pipeline start to finish through a real-world exampleConstruct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CDCraft and optimize your CI pipeline code with ChatGPT and GitHub CopilotPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup.Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You'll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you'll gain a profound understanding of the CI process and Jenkins' robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally.By the end of the book, you'll have become an expert in implementing and optimizing CI/CD setups across diverse teams.What you will learnUnderstand CI with the Golden Circle theoryDeploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC)Implement optimal security practices to ensure Jenkins operates securelyExtend Jenkins for CI by integrating with SonarQube, GitHub, and ArtifactoryScale Jenkins using containers and the cloud for optimal performanceMaster Jenkins declarative syntax to enrich your pipeline coding vocabularyEnhance security and improve pipeline code within your CI/CD process using best practicesWho this book is forThis book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you're already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you're new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud.Table of ContentsThe What, How, and Why of Continuous IntegrationPlanning, Deploying, and Maintaining JenkinsSecuring JenkinsExtending JenkinsScaling JenkinsEnhancing Jenkins Pipeline VocabularyCrafting AI-Powered Pipeline CodeSetting the Stage for Writing Your First CI PipelineWriting Your First CI pipelinePlanning for Continuous DeploymentWriting Your First CD PipelineEnhancing Your CI/CD Pipelines

Unlock the full potential of Streamlit, mastering web app development from setup to deployment with practical guidance, advanced techniques, and real-world examplesKey FeaturesIdentify and overcome web development challenges, crafting dedicated application skeletons using StreamlitUnderstand how Streamlit's widgets and components work to implement any kind of web appManage web application development and deployment with ease using the Streamlit Cloud servicePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you'll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages.Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You'll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques.By the end of this book, you'll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.What you will learnDevelop interactive web apps with Streamlit and deploy them seamlessly on the cloudAcquire in-depth theoretical and practical expertise in using Streamlit for app developmentUse themes and customization for visually appealing web apps tailored to specific needsImplement advanced features including secure login, signup processes, file uploaders, and database connectionsBuild a catalog of scripts and routines to efficiently implement new web appsAttain autonomy in adopting new Streamlit features rapidly and effectivelyWho this book is forThis book is for Python programmers, web developers, computer science students, and IT enthusiasts with a foundation in Python (or any programming language) who have a passion for creating visually appealing applications. If you already know how to write programs, this book will help you evolve into an adept web application developer skilled at converting command-line tools into impressive, cloud-hosted applications.Table of ContentsGetting to Know Streamlit - A Brief OverviewSetting Up the Python Coding EnvironmentExploring Streamlit's Features and FunctionalityStreamlit Essentials - Configuring the Environment, Managing Packages, and MoreOrganizing and Displaying Content with Columns, Expanders, and NLP TechniquesImplementing NLP Techniques for Text Analysis and Processing in StreamlitSharing and Deploying Your Apps on the Cloud Using Streamlit ShareAdvanced Environment Setup and Package Management for Building an AI-Powered Web AppOptimizing Streamlit Web App UX with Customization and UI FeaturesUtilizing Pretrained Models to Create Specialized and Personalized Web Applications(N.B. Please use the Look Inside option to see further chapters)

Get up to speed with API security using this comprehensive guide full of best practices for building safer and secure APIsKey FeaturesDevelop a profound understanding of the inner workings of APIs with a sharp focus on securityLearn the tools and techniques employed by API security testers and hackers, establishing your own hacking laboratoryMaster the art of building robust APIs with shift-left and shield-right approaches, spanning the API lifecyclePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAlong with the exponential growth of API adoption comes a rise in security concerns about their implementation and inherent vulnerabilities. For those seeking comprehensive insights into building, deploying, and managing APIs as the first line of cyber defense, this book offers invaluable guidance. Written by a seasoned DevSecOps expert, Defending APIs addresses the imperative task of API security with innovative approaches and techniques designed to combat API-specific safety challenges.The initial chapters are dedicated to API building blocks, hacking APIs by exploiting vulnerabilities, and case studies of recent breaches, while the subsequent sections of the book focus on building the skills necessary for securing APIs in real-world scenarios.Guided by clear step-by-step instructions, you'll explore offensive techniques for testing vulnerabilities, attacking, and exploiting APIs. Transitioning to defensive techniques, the book equips you with effective methods to guard against common attacks. There are plenty of case studies peppered throughout the book to help you apply the techniques you're learning in practice, complemented by in-depth insights and a wealth of best practices for building better APIs from the ground up.By the end of this book, you'll have the expertise to develop secure APIs and test them against various cyber threats targeting APIs.What you will learnExplore the core elements of APIs and their collaborative role in API developmentUnderstand the OWASP API Security Top 10, dissecting the root causes of API vulnerabilitiesObtain insights into high-profile API security breaches with practical examples and in-depth analysisUse API attacking techniques adversaries use to attack APIs to enhance your defensive strategiesEmploy shield-right security approaches such as API gateways and firewallsDefend against common API vulnerabilities across several frameworks and languages, such as .NET, Python, and JavaWho this book is forThis book is for application security engineers, blue teamers, and security professionals looking forward to building an application security program targeting API security. For red teamers and pentesters, it provides insights into exploiting API vulnerabilities. API developers will benefit understanding, anticipating, and defending against potential threats and attacks on their APIs. While basic knowledge of software and security is required to understand the attack vectors and defensive techniques explained in the book, a thorough understanding of API security is all you need to get started.Table of ContentsWhat Is API Security?API Access ControlUnderstanding Common API VulnerabilitiesCase Studies of Recent Breaches Foundations of Attacking APIsDiscovering APIs Attacking APIsShift-Left for API SecurityDefending against Common VulnerabilitiesSecuring Your Frameworks and LanguagesShield-Right for APIs with Runtime ProtectionSecuring MicroservicesImplementing an API Security Strategy

Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysis and data labelingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you'll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.What you will learnExcel in exploratory data analysis (EDA) for tabular, text, audio, video, and image dataUnderstand how to use Python libraries to apply rules to label raw dataDiscover data augmentation techniques for adding classification labelsLeverage K-means clustering to classify unsupervised dataExplore how hybrid supervised learning is applied to add labels for classificationMaster text data classification with generative AIDetect objects and classify images with OpenCV and YOLOUncover a range of techniques and resources for data annotationWho this book is forThis book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.Table of ContentsExploring Data for Machine LearningLabeling Data for ClassificationLabeling Data for RegressionExploring Image DataLabeling Image Data Using RulesLabeling Image Data Using Data AugmentationLabeling Text DataExploring Video DataLabeling Video DataExploring Audio DataLabeling Audio DataHands-On Exploring Data Labeling Tools

Unlock game development mastery with Unity 2023! This book takes you from conception to publication, equipping you with the key tools and techniques you need to bring your gaming vision to life.Key FeaturesLearn the fundamentals of Unity 2023 and create your dream gameExplore the world of augmented reality (AR) to create captivating mobile gamesPropel game performance and player experience to new heights with Data-Oriented Technology Stack (DOTS) insightsBook DescriptionTake your game development skills to the next level. Dive into the world of game creation confidently by elevating your game development skills. This book is your definitive and practical guide to unlocking the full potential of Unity 2023. Every chapter is designed to empower you to customize your own game, not just replicate what's in the book. This new edition includes immersive Augmented Reality (AR) experiences and performance optimization with Data-Oriented Technology Stack (DOTS).From Scene Creation to seamless Assert Integration, dive into C# programming and Visual Scripting with step-by-step guidance for beginners. Implement dynamic gameplay elements, including movement, spawning, physics, and health systems. Delve deeper into the magic of Game AI through sensor-driven decision-making with Finite State Machines (FSMs). Elevate your visuals with materials, shaders, textures, and particle systems. Optimize performance with Profiler insights and debug your game for a polished final product. Whether you're a beginner or a seasoned pro, this book will equip you with the skills needed to bring your game ideas to life.What you will learnBuild a game that includes gameplay, player and non-player characters, assets, animations, and moreLearn C# and Visual Scripting to customize player movements, the UI, and game physicsImplement Game AI to build a fully functional enemy capable of detecting and attackingUse Universal Render Pipeline (URP) to create high-quality visuals with UnityCreate win-lose conditions using design patterns such as Singleton and Event ListenersImplement realistic and dynamic physics simulations with the new Physics SystemWho this book is forBoth game and non-game developers looking to migrate or start building 3D games in Unity will find this Unity game development book useful. While you can still follow along without prior programming experience, knowing C# fundamentals will help you make the most of this book.Table of ContentsEmbark on Your Unity JourneyCrafting Scenes and Game ElementsFrom Blueprint to Reality: Building with Terrain and ProBuilderSeamless Integration: Importing and Integrating AssetsUnleashing the Power of C# and Visual ScriptingDynamic Motion: Implementing Movement and SpawningCollisions and Health: Detecting Collisions AccuratelyVictory or Defeat: Win and Lose ConditionsStarting Your AI Journey: Building Intelligent Enemies for Your GameMaterial Alchemy: Using URP and Shader Graph for Stunning VisualsCaptivating Visual Effects: Harnessing Particle Systems and Visual Effect GraphEnlightening Worlds: Illuminating Scenes with the Universal Render PipelineImmersive Realism: Achieving Fullscreen Effects with Post-ProcessingHarmonious Soundscapes: Integrating Audio and MusicInterface Brilliance: Designing User-Friendly UINext-Gen UI: Creating Dynamic Interfaces with UI ToolkitAnimated Realities: Creating Animations with Animator, Cinemachine, and Timeline(N.B. Please use the Look Inside option to see further chapters)

Harness the full power of Angular 17 with up-to-date tools and enterprise-level best practicesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Dive straight into the most relevant topics that will help you build large, complex, and high-performance web applicationsFind updated examples, projects, and an overview of the latest tools and updates - including Jest, Cypress, NgRx workspace, Apollo GraphQL, and Angular Dev ToolsGet to grips with reactive code and learn how to resolve potential issues before they crop upBook Description:If you're looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery.In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular.You'll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You'll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs.You'll cover modern tools like RxAngular, Qwik, and Signals. You'll construct master/detail views using data tables and NgRx for state management. You'll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams.By the end of this book, you'll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly.What You Will Learn:Minimalist, value-first approach to delivering web appsHow standalone components, services, providers, modules, lazy loading, and directives work in AngularManage your app's data reactivity using Signals or RxJSState management for your Angular apps with NgRxAngular ecosystem to build and deliver enterprise applicationsAutomated testing and CI/CD to deliver high quality appsAuthentication and authorizationBuilding role-based access control with REST and GraphQLWho this book is for:This book is for mid-to-senior developers looking to gain mastery by learning how to write, test, and deploy Angular in an enterprise environment.Working experience with JavaScript is a prerequisite, and a familiarity with TypeScript and RESTful APIs will help you understand the topics covered in this book more effectively

Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainabilityKey FeaturesMaster Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recoveryBuild your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and complianceLearn how to manage Secrets through real-world cases, strengthening your applications' security posturePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes.Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you'll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions.Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution.By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learnExplore Kubernetes Secrets, related API objects, and CRUD operationsUnderstand the Kubernetes Secrets limitations, attack vectors, and mitigation strategiesExplore encryption at rest and external secret storesBuild and operate a production-grade solution with a focus on business continuityIntegrate a Secrets Management solution in your CI/CD pipelinesConduct continuous assessments of the risks and vulnerabilities for each solutionDraw insights from use cases implemented by large organizationsGain an overview of the latest and upcoming Secrets management trendsWho this book is forThis handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path-from foundations to implementation-with a security-first mindset. You'll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.Table of ContentsUnderstanding Kubernetes Secret ManagementWalking through Kubernetes Secret Management ConceptsEncrypting secrets in transit and at restDebugging and Troubleshooting Kubernetes SecretsSecurity, Auditing and ComplianceDisaster Recovery and BackupsChallenges and Risk for Managing Secrets in Kubernetes Production EnvironmentExploring Secret Storage on AWSExploring Secret Storage on Azure(N.B. Please use the Look Inside option to see further chapters)

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a professional levelSecure the quality of your machine learning pipeline at runtimeApply your knowledge to natural languages, programming languages, and imagesBook DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products.The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you'll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.Towards the end, you'll address the most challenging aspect of large-scale machine learning systems - ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began - large-scale machine learning software.What you will learnIdentify what the machine learning software best suits your needsWork with scalable machine learning pipelinesScale up pipelines from prototypes to fully fledged softwareChoose suitable data sources and processing methods for your productDifferentiate raw data from complex processing, noting their advantagesTrack and mitigate important ethical risks in machine learning softwareWork with testing and validation for machine learning systemsWho this book is forIf you're a machine learning engineer, this book will help you design more robust software, and understand which scaling-up challenges you need to address and why. Software engineers will benefit from best practices that will make your products robust, reliable, and innovative. Decision makers will also find lots of useful information in this book, including guidance on what to look for in a well-designed machine learning software product.Table of ContentsMachine Learning Compared to Traditional SoftwareElements of a Machine Learning Software SystemData in Software Systems - Text, Images, Code, FeaturesData Acquisition, Data Quality and NoiseQuantifying and Improving Data PropertiesTypes of Data in ML SystemsFeature Engineering for Numerical and Image DataFeature Engineering for Natural Language DataTypes of Machine Learning Systems - Feature-Based and Raw Data Based (Deep Learning)Training and evaluation of classical ML systems and neural networksTraining and evaluation of advanced algorithms - deep learning, autoencoders, GPT-3Designing machine learning pipelines (MLOps) and their testingDesigning and implementation of large scale, robust ML software - a comprehensive exampleEthics in data acquisition and management(N.B. Please use the Look Inside option to see further chapters)

Take complete control of all your image-editing ambitions using this beautifully illustrated, easy-to-understand, jargon-free guide on Photoshop Elements 2024 packed with best practices and expert insights.Key FeaturesComprehensive coverage of Adobe Photoshop Elements 2024, including new AI-powered tools and advanced featuresPractical guidance on photo organization, editing, and sharing, with an emphasis on creative and professional techniquesRich, illustrative content with updated examples, tutorials, and mini creative projectsBook DescriptionDive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels.It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family.Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques-create the perfect picture or imaginative fantasy illustration. You'll also learn the online realms of animation, video creation, and third-party plug-ins. By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence.What you will learnMaster new features in Photoshop Elements 2024, including AI-powered tools and one-click fixes on mobileCreate captivating photo collages, digital paintings, and graphic designsEfficiently organize your photo collections for easy access and managementEnhance your social media presence with professionally edited photos and artworksEmploy advanced layer techniques for more powerful and immersive illustrationsGain comprehensive knowledge to become a proficient Photoshop Elements userWho this book is for"Mastering Adobe Photoshop Elements - 6th Edition" is perfect for photographers of all skill levels - from hobbyists to professionals. Whether you are new to photo editing or looking to upgrade your skills with the latest Photoshop Elements features, this book offers valuable insights and guidance.Table of ContentsPhotoshop Elements Features OverviewSetting Up Photoshop Elements from ScratchThe Basics of Image EditingGetting Started with Simple SolutionsEasy creative ProjectsAdvanced Techniques: Transformations, Layers, Masking and Blend ModesAdvanced Techniques: Retouching, Selections, and TextAdditional Tools and FeaturesAdvanced Drawing and Painting TechniquesExporting the Finished Work Online - web and bloggingTroubleshooting and Additional TechniquesFeature Appendix

Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environmentKey FeaturesChoose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirementsOptimize your security posture with expert techniques for in-depth cloud security insightsImprove your security compliance score by adopting a secure-by-design approach and implementing security automationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that'll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures.The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you'll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting.As you progress, you'll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You'll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments.By the end of this book, you'll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learnFind out how to deploy and onboard cloud accounts using CSPM toolsUnderstand security posture aspects such as the dashboard, asset inventory, and risksExplore the Kusto Query Language (KQL) and write threat hunting queriesExplore security recommendations and operational best practicesGet to grips with vulnerability, patch, and compliance management, and governanceFamiliarize yourself with security alerts, monitoring, and workload protection best practicesManage IaC scan policies and learn how to handle exceptionsWho this book is forIf you're a cloud security administrator, security engineer, or DevSecOps engineer, you'll find this book useful every step of the way-from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.Table of ContentsCloud Security Fundamentals Understanding CSPM and the Threat LandscapeCSPM Tools and FeaturesCSPM Tool Selection Deploying the CSPM ToolOnboarding Cloud AccountsOnboarding ContainersExploring Environment SettingsExploring Cloud Asset InventoryDashboard OverviewMajor Configuration RisksInvestigating Threats with Query Explorers and KQL(N.B. Please use the Look Inside option to see further chapters)

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey Features:- Learn practical data science combined with data theory to gain maximum insights from data- Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models- Explore actionable case studies to put your new skills to use immediately- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.What You Will Learn:- Master the fundamentals steps of data science through practical examples- Bridge the gap between math and programming using advanced statistics and ML- Harness probability, calculus, and models for effective data control- Explore transformative modern ML with large language models- Evaluate ML success with impactful metrics and MLOps- Create compelling visuals that convey actionable insights- Quantify and mitigate biases in data and ML modelsWho this book is for:If you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.Table of Contents- Data Science Terminology- Types of Data- The Five Steps of Data Science- Basic Mathematics- Impossible or Improbable - A Gentle Introduction to Probability- Advanced Probability- What are the Chances? An Introduction to Statistics- Advanced Statistics- Communicating Data- How to Tell if Your Toaster is Learning - Machine Learning Essentials- Predictions Don't Grow on Trees, or Do They?- Introduction to Transfer Learning and Pre-trained Models- Mitigating Algorithmic Bias and Tackling Model and Data Drift- AI Governance- Navigating Real-World Data Science Case Studies in Action

Master Salesforce DevOps while exploring deployment, packages, Git workflows, and organizational monitoring using third-party tools such as Salesforce DX, GitHub, Jenkins, Gearset, and CopadoKey Features:Learn to build a DevOps culture to mitigate project risks and boost return on investment (ROI)Delve into the principles of DevOps and how to apply them in Salesforce for maximum efficiencyExplore Salesforce DevOps tools, with examples and strategies for building a robust DevOps stackPurchase of the print or Kindle book includes a free PDF eBookBook Description:As the Salesforce Platform evolves into an increasingly complex landscape, architects face a growing demand for advanced solutions. The key to successful Salesforce projects lies in effective DevOps practice, and this book helps you achieve just that by offering strategic and practical insights into Salesforce components.The book starts by cultivating a DevOps mindset, focusing on collaboration, coordination, and communication, and learning how to efficiently demonstrate governance, visibility, and accountability. Building upon this architectural foundation, you'll delve into tools and techniques to plan your strategy using the capabilities of SFDX. Once you've gotten to grips with Salesforce packaging, you'll learn how to build a CI/CD stack with freely available software and configure it for automated change delivery. You'll then address the operational concerns of a mature DevOps process as you explore topics such as ticket management, backups, change monitoring, and data seeding-essential for maintaining a clean and healthy Salesforce org. Finally, you'll learn about the ecosystem of third-party solutions, which provide out-of-the-box capabilities to accelerate your Salesforce DevOps journey.By the end of this book, you'll have demystified Salesforce DevOps, empowering you to deliver Salesforce projects with the expertise of a DevOps professional.What You Will Learn:Grasp the fundamentals of integrating a DevOps process into Salesforce project deliveryMaster the skill of communicating the benefits of Salesforce DevOps to stakeholdersRecognize the significance of fostering a DevOps culture and its impact on Salesforce projectsUnderstand the role of metrics in DevOps architecture within Salesforce environmentsGain insights into the components comprising a Salesforce DevOps toolchainDiscover strategies for maintaining a healthy Salesforce org with a variety of supporting DevOps toolsWho this book is for:If you are a Salesforce architect or senior developer looking to bring DevOps best practices to your projects, this book is for you. To learn from this book, you should have a strong familiarity with Salesforce platform development both in code and low-code, understand concepts such as metadata, JSON, and XML, and feel at ease with command-line operations.

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey Features- Conduct Bayesian data analysis with step-by-step guidance- Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling- Enhance your learning with best practices through sample problems and practice exercises- Purchase of the print or Kindle book includes a free PDF eBook.Book DescriptionThe third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets.By the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises.What you will learn- Build probabilistic models using PyMC and Bambi- Analyze and interpret probabilistic models with ArviZ- Acquire the skills to sanity-check models and modify them if necessary- Build better models with prior and posterior predictive checks- Learn the advantages and caveats of hierarchical models- Compare models and choose between alternative ones- Interpret results and apply your knowledge to real-world problems- Explore common models from a unified probabilistic perspective- Apply the Bayesian framework's flexibility for probabilistic thinkingWho this book is forIf you are a student, data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory, so no previous statistical knowledge is required, although some experience in using Python and scientific libraries like NumPy is expected.Table of Contents- Thinking Probabilistically- Programming Probabilistically- Hierarchical Models- Modeling with Lines- Comparing Models- Modeling with Bambi- Mixture Models- Gaussian Processes- Bayesian Additive Regression Trees- Inference Engines- Where to Go Next

Level up your career by learning best practices for managing the data quality and integrity of your financial dataKey Features:Accelerate data integrity management using artificial intelligence-powered solutionsLearn how business intelligence tools, ledger databases, and database locks solve data integrity issuesFind out how to detect fraudulent transactions affecting financial report integrityBook Description:Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations.The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases.After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What You Will Learn:Develop a customized financial data quality scorecardUtilize business intelligence tools to detect, manage, and resolve data integrity issuesFind out how to use managed cloud-based ledger databases for financial data integrityApply database locking techniques to prevent transaction integrity issues involving finance dataDiscover the methods to detect fraudulent transactions affecting financial report integrityUse artificial intelligence-powered solutions to resolve various data integrity issues and challengesWho this book is for:This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it'll help you grasp the more advanced topics covered in this book.

Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate dataKey FeaturesTransform data into a clean and trusted source of information for your organization using ScalaBuild streaming and batch-processing pipelines with step-by-step explanationsImplement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD)Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You'll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You'll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learnSet up your development environment to build pipelines in ScalaGet to grips with polymorphic functions, type parameterization, and Scala implicitsUse Spark DataFrames, Datasets, and Spark SQL with ScalaRead and write data to object storesProfile and clean your data using DeequPerformance tune your data pipelines using ScalaWho this book is forThis book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies. Table of ContentsScala Essentials for Data EngineersEnvironment SetupAn Introduction to Apache Spark and Its APIs - DataFrame, Dataset, and Spark SQLWorking with DatabasesObject Stores and Data LakesUnderstanding Data TransformationData Profiling and Data QualityTest-Driven Development, Code Health, and MaintainabilityCI/CD with GitHubData Pipeline OrchestrationPerformance TuningBuilding Batch Pipelines Using Spark and ScalaBuilding Streaming Pipelines Using Spark and Scala

Learn to design your own programming language in a hands-on way by building compilers, using preprocessors, transpilers, and more, in this fully-refreshed second edition, written by the creator of the Unicon programming language.Purchase of the print or Kindle book includes a free PDF eBookKey Features- Takes a hands-on approach; learn by building the Jzero language, a subset of Java, with example code shown in both the Java and Unicon languages- Learn how to create parsers, code generators, scanners, and interpreters- Target bytecode, native code, and preprocess or transpile code into a high-level languageBook DescriptionThere are many reasons to build a programming language: out of necessity, as a learning exercise, or just for fun. Whatever your reasons, this book gives you the tools to succeed.You'll build the frontend of a compiler for your language and generate a lexical analyzer and parser using Lex and YACC tools. Then you'll explore a series of syntax tree traversals before looking at code generation for a bytecode virtual machine or native code. In this edition, a new chapter has been added to assist you in comprehending the nuances and distinctions between preprocessors and transpilers. Code examples have been modernized, expanded, and rigorously tested, and all content has undergone thorough refreshing. You'll learn to implement code generation techniques using practical examples, including the Unicon Preprocessor and transpiling Jzero code to Unicon. You'll move to domain-specific language features and learn to create them as built-in operators and functions. You'll also cover garbage collection.Dr. Jeffery's experiences building the Unicon language are used to add context to the concepts, and relevant examples are provided in both Unicon and Java so that you can follow along in your language of choice.By the end of this book, you'll be able to build and deploy your own domain-specific language.What you will learn- Analyze requirements for your language and design syntax and semantics.- Write grammar rules for common expressions and control structures.- Build a scanner to read source code and generate a parser to check syntax.- Implement syntax-coloring for your code in IDEs like VS Code.- Write tree traversals and insert information into the syntax tree.- Implement a bytecode interpreter and run bytecode from your compiler.- Write native code and run it after assembling and linking using system tools.- Preprocess and transpile code into another high-level languageWho this book is forThis book is for software developers interested in the idea of inventing their own language or developing a domain-specific language. Computer science students taking compiler design or construction courses will also find this book highly useful as a practical guide to language implementation to supplement more theoretical textbooks. Intermediate or better proficiency in Java or C++ programming languages (or another high-level programming language) is assumed.

Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you'll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.With the groundwork in place, you'll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.As you advance through the chapters, you'll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.Armed with this comprehensive knowledge, you'll be able to implement MLOps workflows on the OpenShift platform proficiently.What you will learnBuild a solid foundation in key MLOps concepts and best practicesExplore MLOps workflows, covering model development and trainingImplement complete MLOps workflows on the Red Hat OpenShift platformBuild MLOps pipelines for automating model training and deploymentsDiscover model serving approaches using Seldon and Intel OpenVinoGet to grips with operating data science and machine learning workloads in OpenShiftWho this book is forThis book is for MLOps and DevOps engineers, data architects, and data scientists interested in learning the OpenShift platform. Particularly, developers who want to learn MLOps and its components will find this book useful. Whether you're a machine learning engineer or software developer, this book serves as an essential guide to building scalable and efficient machine learning workflows on the OpenShift platform.Table of ContentsIntroduction to MLOps and OpenShiftProvisioning an MLOps platform in the CloudBuilding Machine Learning ModelsEmbedding ML Models into the ApplicationsDeploying ML Models as a ServiceOperating ML workloadsBuilding a face detector using the Red Hat ML Platform

Follow a step-by-step roadmap to developing essential competencies in network architecture design, relationship management, systems, and services, coupled with certification guidance and expert tipsKey Features- Grasp the big picture of information technology infrastructure to become a successful network architect- Overcome challenges to improve network performance and configuration management- Advance your career by improving your skills using real-life examples and practical advice from an industry expert- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionBecoming a network architect is challenging-it demands hands-on engineering skills, collaboration with internal teams and C-Suite stakeholders, as well as adeptly managing external entities like vendors and service providers. The author taps into his extensive background in IT and security to help you gain a detailed understanding of the network architect's role and guide you in evolving into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders.Starting with a clear definition of the network architect's role, this book lays out a roadmap and discusses the attributes and mindset for success. You'll explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. You'll also gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position.By the end of this book, you'll be armed with essential concepts, techniques, and newfound skills to pursue a career as a network architect.What you will learn- Examine the role of a network architect- Understand the key design makers in an organization- Choose the best strategies to meet stakeholder needs- Be well-versed with networking concepts- Prepare for a network architect position interview- Distinguish the different IT architects in an organization- Identify relevant certification for network architects- Understand the various de facto network/fabric architect models used todayWho this book is forThis book is for network engineers and technicians aspiring to transition into the role of a network architect. Whether you are at the beginning of your journey or seeking guidance along the path, this book will support you with its deep coverage of key aspects such as design concepts, architectural requirements, relevant experience, certifications, and advanced education with a special emphasis on cloud best practices. A practical understanding of IT networking is necessary to get the most out of this book.Table of Contents- Understanding the Network Architect's Role- Network Architect in an Organization- Roadmap to Becoming a Network Architect- Attributes of a Network Architect- The Mindset of the Network Architect - the Principles of Design- Foundations of Network Architect - Part 1: Route/Switch- Foundations of Network Architecture - Part 2: Network Services- Foundations of Network Automation- Paradigm Shift to Cloud Computing- Preparing for Certifications and Cracking the Job Interview- The Skills to Become a Better Network Architect and Overcome Daily Challenges- Additional Information and Recommended Books

Kickstart your IoT design and implementation journey with this comprehensive book, covering basics to advanced concepts through practical examples and industry-standard practicesKey FeaturesMaster the different components that make up an IoT system to design and implement solutionsUnlock the powerful capabilities of cloud computing that enhance the efficiency of your IoT deploymentsIntegrate cutting-edge technologies, such as with generative AI, into your IoT projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevelop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively.Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You'll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You'll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you'll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You'll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities.By the end of this IoT book, you'll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.What you will learnGain a holistic understanding of IoT basics through real-life use casesExplore communication protocols and technologies integral to IoTUse AWS to build resilient, low-latency networksConstruct complex IoT networks, building upon foundational principlesIntegrate data analytics workloads and generative AI seamlessly with IoTUnderstand the security threat landscape of IoT and how to mitigate these risksDevelop industry-grade projects within the open source IoT communityEmbrace a futuristic perspective of IoT by understanding both risks and rewardsWho this book is forThe book is for novice electronics engineers, embedded systems specialists, and IoT developers as well as intermediate practitioners looking to advance in the world of industry-based IoT applications. While no prior knowledge of IoT is assumed, familiarity with at least one programming language is recommended to get the most out of this book.Table of ContentsAn Introduction to IoT Architecture, Hardware and Real-Life ApplicationsUnderstanding and Designing IoT NetworksIntegrating Application ProtocolsExamining Communication and Connectivity TechnologiesRealizing Wireless Sensor Networks within Smart SpacesCreating Applications on the EdgeWorking with Cloud Computing to Power IoT SolutionsDesigning for InteroperabilityOperating and Monitoring IoT NetworksWorking with Data and AnalyticsExamining Security and Privacy in IoTExploring and Innovating with Open Source IoTDeveloping IoT Solutions for Digital Transformation within Industry 4.0 Architecting Complex, Holistic IoT EnvironmentsLooking Ahead into the Future of IoT

Discover the power of storytelling with Unreal Engine 5's real-time technology, exploring storyboarding, character creation, world building, animating using sequencers, and much more with the help of an Unreal Authorized InstructorKey Features- Learn in detail about filmmaking techniques and understand how to tie that into your Unreal Engine workflow- Generate and animate near-photorealistic actors using the innovative MetaHuman technology- Build expansive worlds with Nanite and Lumen Global Illumination and Reflections technology- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionVirtual Filmmaking with Unreal Engine 5 is the first Unreal Engine book to guide you through the complete process of virtual film production. Encompassing the full spectrum of filmmaking, this book demonstrates the use of an industry-standard tool used by studios such as Disney, ILM, DNEG, and Framestore.Walking through the process systematically, you'll collect references and create a simple storyboard to plan your shots. You'll create virtual environments, import 3D models and add materials and textures to build photorealistic, dynamic worlds. You'll also create actors using highly customizable MetaHumans, understand how to import, re-target, and animate them. You'll bring it all together with cinematic lighting and camera animation before exporting your film.By the end of this book, you'll have discovered new tools for your toolkit to work on your virtual film projects in Unreal Engine 5, leveraging Quixel Megascans, Lumen, Nanite, and MetaHuman technology.What you will learn- Grasp the principles of photography and the art of storytelling- Collect references and create storyboards- Discover Unreal Engine's hidden features and useful keyboard shortcuts- Explore the capabilities of Quixel Megascans, Lumen, Nanite, and MetaHumans- Adopt cinematic techniques to achieve professional-looking shots- Creatively apply Lumen Global Illumination and Reflections techniques- Use multiple virtual cameras and apply post-production techniques- Implement best practices for optimization, post processing, and renderingWho this book is forWhether you're a beginner or intermediate filmmaker, 3D artist, animator, visual effects artist, or virtual production professional with just basic knowledge of the Unreal Engine, this book is designed to help you enter the world of virtual films and animations.While prior experience with the Unreal Engine would be beneficial, a deep working knowledge is not essential, as the book introduces the relevant tools and features needed throughout the activities.Table of Contents- Getting Started with Unreal Engine- Understanding the Principles of Photography, Film Cameras, and Lenses- Understanding the Art of Storytelling and Creating Your Storyboard- Importing 3D Objects and Creating Levels- Creating Environments with Quixel Megascans- Creating and Applying Materials to 3D Meshes- Creating Actors with Unreal Engine MetaHumans- Retargeting the MetaHumans for Unreal Engine 5- Adding Animations and Facial Expressions to Your MetaHuman Characters- Adding and Animating Virtual Cameras Using the Level Sequencer- Enhancing Set Dressing, Retiming Shots, and Adding Niagara Particles- Setting the Mood with Lighting and Adding Post-Processing Effects- Exploring Color Management, Additional Camera Settings and Rendering Your Shots- Adding Sound and Finalizing Your Virtual Film- Appendix: Creating Material IDs Using Blender

Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applicationsKey FeaturesWork with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithmsEvaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoringUncover effective approaches to deep learning for computer vision, time series analysis, and forecastingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you'll learn how to seamlessly interact with the workspace. You'll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you'll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You'll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you'll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you'll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learnDiscover different ways to transform data into valuable insightsExplore the different types of regression techniquesGrasp the basics of classification through Naive Bayes and decision treesUse clustering to group data based on similarity measuresPerform data fitting, pattern recognition, and cluster analysisImplement feature selection and extraction for dimensionality reductionHarness MATLAB tools for deep learning explorationWho this book is forThis book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.Table of ContentsExploring MATLAB for Machine LearningWorking with Data in MATLABPrediction Using Classification and RegressionClustering Analysis and Dimensionality ReductionIntroducing Artificial Neural Networks ModelingDeep Learning and Convolutional Neural NetworksNatural Language Processing Using MATLABMATLAB for Image Processing and Computer VisionTime Series Analysis and Forecasting with MATLABMATLAB Tools for Recommender SystemsAnomaly Detection in MATLAB

Master edge computing architectures, unlock industry-specific patterns, apply proven best practices, and progress from basics to end-to-end solutionsKey Features:Unlock scalable edge solutions by mastering proven archetypes for real-world successLearn industry-specific patterns, tailoring solutions for diverse sector needsMake strategic decisions between cloud-out and edge-in strategies with confidencePurchase of the print or Kindle book includes a free PDF eBookBook Description:Enriched with insights from a hyperscaler's perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches.This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you'll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You'll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing.By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape.What You Will Learn:Distinguish edge concepts, recognizing that definitions vary among different audiencesExplore industry-specific architecture patterns that shape custom solutionsAnalyze three proven edge computing archetypes for real-world scalabilityApply best practices judiciously, adapting patterns to meet specific requirementsEvaluate data for storage or discarding based on compliance and industry normsAdvance from the foundational basics to complex end-to-end edge configurationsGain practical insights for achieving low-latency, high-bandwidth edge solutionsWho this book is for:Ideal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.

Achieve sustainable product growth with expert insights on data-driven decision-making and growth strategies to accelerate company's growthKey FeaturesUnderstand and implement key growth product management models to improve revenue, user adoption, and retentionLearn effective frameworks, strategies, and tactics for growth product management in various contextsDevelop practical strategies and insights to achieve customer lifetime goalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product.This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals.By the end of this book, you'll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.What you will learnUnderstand key growth product management models such as lean startup, pirate metrics, and AARRR frameworksOptimize journeys, improve UX, and personalize interactions with retention and loyalty strategiesExplore model applications in SaaS, e-commerce, and mobile app developmentImplement practical actions to prioritize, experiment, and measureGet to grips with techniques of service, feedback, and rewards for customer retentionSet and achieve customer lifetime value goals for successDiscover effective strategies for achieving your customer-for-life goalsWho this book is forWhether you're a seasoned product manager, a newcomer to the field, or an aspiring growth product manager, this guide offers valuable insights and actionable strategies to drive growth and achieve success. Additionally, growth marketers and startup founders with basic product marketing knowledge will benefit from this book, expanding their understanding of growth-centric product management practices to elevate their careers and propel their companies to acquire more customers and reach customer-for-life goals.Table of ContentsIntroduction to Growth Product ManagementUnderstanding Product-Led Growth Management ModelsUnderstanding Your CustomersUnlocking Success in Product Strategy and PlanningSetting the Stage for a Powerful Product-Led EnterpriseDefining and Communicating Your Product Value PropositionThe Science of Growth Experimentation and Testing for Product-Led SuccessDefine, Monitor, and Act on Your Performance MetricsGuiding Your Clients to the Pot of GoldMaintaining High Customer Retention RatesUnlocking Wallet Share through Expansion RevenueThe Future of a Growth Product Manager

A must-read for software developers lacking command-line skills, focusing on Linux. It provides transferable command-line proficiency for use in Mac OS, Unix, and Windows with WSLKey FeaturesA practical, no-nonsense guide specifically written for developers (not sysadmins) who need to quickly learn command-line skillsExpand your practical skills and look like a wizard on the command lineBuild practical skills to work effectively with the most common CLI tools on Unix-like systemsBook DescriptionDevelopers are always looking to raise their game to the next level, yet most are completely lost when it comes to the Linux command line.This book is the bridge that will take you to the next level in your software development career. Most of the skills in the book can be immediately put to work to make you a more efficient developer. It's written specifically for software engineers, not Linux system administrators, so each chapter will equip you with just enough theory to understand what you're doing before diving into practical commands that you can use in your day-to-day work as a software developer.As you work through the book, you'll quickly absorb the basics of how Linux works while you get comfortable moving around the command line. Once you've got the core skills, you'll see how to apply them in different contexts that you'll come across as a software developer: building and working with Docker images, automating boring build tasks with shell scripts, and troubleshooting issues in production environments.By the end of the book, you'll be able to use Linux and the command line comfortably and apply your newfound skills in your day-to-day work to save time, troubleshoot issues, and be the command-line wizard that your team turns to.What you will learnLearn useful command-line tricks and tools that make software development, testing, and troubleshooting easyUnderstand how Linux and command line environments actually workCreate powerful, customized tools and save thousands of lines of code with developer-centric Linux utilitiesGain hands-on experience with Docker, SSH, and Shell scripting tasks that make you a more effective developerGet comfortable searching logs and troubleshooting problems on Linux serversHandle common command-line situations that stump other developersWho this book is forThis book is for software developers who want to build practical Command-Line (CLI) and Linux skills and who want to quickly fill the gap to advance their skills and their career. Basic knowledge of editing text, working with files and folders, having some idea of what "operating systems" are, installing software, and using a development environment is assumed.Table of ContentsHow the Command Line WorksWorking with ProcessesService Management with systemdUsing Shell HistoryIntroducing FilesEditing Files on the Command LineUsers and GroupsOwnership and PermissionsManaging Installed SoftwareConfiguring SoftwarePipes and RedirectionAutomating Tasks with Shell ScriptsSecure Remote Access with SSHVersion Control with GitContainerizing Applications with DockerMonitoring Application LogsLoad Balancing and HTTP

Unlock the power of APIs with expert guidance and techniques for successfully creating, testing, and maintaining products that align with customers and stand out in the marketKey Features:Understand the complete API product lifecycle, from planning to implementation, release, and maintenanceDesign and support API products that distinguish themselves on the market by meeting user needsImplement actionable techniques for developing, testing, and securing a successful API productPurchase of the print or Kindle book includes a free PDF eBookBook Description:The exponential increase in the number of APIs is evidence of their widespread adoption by companies seeking to deliver value to users across diverse industries, making the art of building successful APIs an invaluable skill for anyone involved in product development. With this comprehensive guide, you'll walk through the entire process of planning, designing, implementing, releasing, and maintaining successful API products.You'll start by exploring all aspects of APIs, including their types, technologies, protocols, and lifecycle stages. Next, you'll learn how to define an API strategy and identify business objectives, user personas, and jobs-to-be-done (JTBD). With these skills, you'll delve into designing and validating API capabilities to create a machine-readable API definition. As you advance, the book helps you understand how to choose the right language and framework for securely releasing an API server and offers insights into analyzing API usage metrics, improving performance, and creating compelling documentation that users love. Finally, you'll discover ways to support users, manage versions, and communicate changes or the retirement of an API.By the end of this API development book, you'll have the confidence and skills to create API products that truly stand out in the market.What You Will Learn:Master each stage of the API lifecycleDiscover technologies and protocols employed in building an API productUnderstand the different API design definition and validation techniquesGenerate an API server from a machine-readable definitionUnderstand how to set up and analyze API monitorsFamiliarize yourself with the different gateways for releasing an APIFind out how to create an API portal that attracts usersGain insights into planning and communicating API retirement to usersWho this book is for:Building an API Product is a guide for product managers and software developers navigating the world of APIs to build programmable products. You don't have to be an experienced professional to learn from this book as long as you have basic knowledge of internet technologies and how users interact with a product.

Advance your career by learning how to apply Azure Fundamentals effectively with this comprehensive guide, accompanied by web-based tools such as mock exams, flashcards, and hands-on activitiesKey FeaturesMaster the fundamentals of Azure through a comprehensive exploration of compute, network, and storage servicesLearn essential tools and strategies for securing, governing, and administering Azure effectivelyUse the mobile-friendly bonus website that comes with the book to gain ample practice on the goBook DescriptionMicrosoft Azure Fundamentals Certification and Beyond, Second Edition, combines the comprehensive cloud fundamentals book with Packt's powerful exam training platform, offering a holistic learning experience designed to help you not just ace the AZ-900 exam but also apply that knowledge to excel in your career.Guiding you in building robust foundational knowledge of the Microsoft Azure cloud platform, this book helps you prepare for the AZ-900 exam confidently. The online content, included with every purchase, will help you memorize key concepts and assess your exam readiness.Starting with an introduction to cloud computing and its advantages, the book systematically guides you through Azure architecture and services before progressing to management and governance within Azure. The online platform unlocks unlimited access to mock exams with exam-like timers, detailed solutions for each question, interactive flashcards, exam tips, and interactive activities-all accessible from your computer, tablet, and smartphone.By the end of this book, you'll be well prepared to pass the AZ-900 exam and have the foundational knowledge to delve into advanced cloud concepts.What you will learnBecome proficient in foundational cloud conceptsDevelop a solid understanding of core components of the Microsoft Azure cloud platformGet to grips with Azure's core services, deployment, and management toolsImplement security concepts, operations, and posture managementExplore identity, governance, and compliance featuresGain insights into resource deployment, management, and monitoringWho this book is forThis Azure fundamentals book is for individuals with technical or non-technical backgrounds who want to learn and explore the field of cloud computing with Microsoft Azure. There are no prerequisites to get started, only a willingness to learn and explore cloud concepts and Microsoft Azure.Table of ContentsIntroduction to Cloud ComputingThe benefits of using cloud servicesAzure core architectural componentsAzure core ResourcesAzure Identity and AccessAzure SecurityAzure Cost ManagementAzure Governance and ComplianceAzure Resource Deployment and ManagementAzure Monitoring Tools

A practical introduction to modern cryptography using the Transport Layer Security protocol as the primary referenceKey Features- Learn about real-world cryptographic pitfalls and how to avoid them- Understand past attacks on TLS, how these attacks worked, and how they were fixed- Discover the inner workings of modern cryptography and its application within TLS- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionTLS is the most widely used cryptographic protocol today, enabling e-commerce, online banking, and secure online communication. TLS Cryptography in Depth will help you gain a deep understanding of how and why TLS works, how past attacks on TLS were possible, and how vulnerabilities that enabled them were addressed in the latest TLS version 1.3. By exploring the inner workings of TLS, you'll be able to configure it and use it more securely.Starting with the basic concepts, you'll be led step by step through the world of modern cryptography, guided by the TLS protocol. As you advance, you'll be learning about the necessary mathematical concepts from scratch. Even seemingly arcane topics such as public-key cryptography based on elliptic curves will be explained with a view on real-world applications in TLS. With easy-to-understand concepts, you'll find out how secret keys are generated and exchanged in TLS, and how they are used to create a secure channel between a client and a server.By the end of this book, you'll have understood the inner workings of TLS and how to configure TLS servers securely. Moreover, you'll have gained a deep knowledge of the cryptographic primitives that make up TLS and will be able to apply this knowledge in other security-related contexts.What you will learn- Understand TLS principles and protocols for secure internet communication- Find out how cryptographic primitives are used within TLS V1.3- Discover best practices for secure configuration and implementation of TLS- Evaluate and select appropriate cipher suites for optimal security- Get an in-depth understanding of common cryptographic vulnerabilities and ways to mitigate them- Explore forward secrecy and its importance in maintaining confidentiality- Understand TLS extensions and their significance in enhancing TLS functionalityWho this book is forThis book is for IT professionals, cybersecurity professionals, security engineers, cryptographers, software developers, and administrators looking to gain a solid understanding of TLS specifics and their relationship with cryptography. This book can also be used by computer science and computer engineering students to learn about key cryptographic concepts in a clear, yet rigorous way with its applications in TLS. There are no specific prerequisites, but a basic familiarity with programming and mathematics will be helpful.Table of Contents- The Role of Cryptography in the Connected World- Secure Channel and the CIA Triad- A Secret to Share- Encryption and Decryption- Entity Authentication- Transport Layer Security at a Glance- Public-Key Cryptography- Elliptic Curves- Digital Signatures- Digital Certificates and Certification Authorities- Hash Functions and Message Authentication Codes- Secrets and Keys in TLS 1.3- TLS Handshake Protocol Revisited- Block Ciphers and Their Modes of Operation- Authenticated Encryption- The Galois Counter Mode- TLS Record Protocol Revisited- TLS Cipher Suites- Attacks on Cryptography- Attacks on the TLS Handshake Protocol- Attacks on the TLS Record Protocol- Attacks on TLS Implementations

Discover the top tricks and techniques with After Effects 2022 and later versions and elevate your graphics design skills by creating real-world projects in this part-color guideKey Features- Master After Effects through hands-on engagement with small projects, following the best practices- Leverage the settings and uncover hidden options in After Effects to optimize your workflow- Acquire skills and techniques that will set you apart from other graphic designers- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionVisual effects and motion graphics are everywhere, shaping the film, TV, games, websites, and application landscape. Navigating a field this complex and ever-expanding demands more than mere familiarity with tools; you need to stand out to get ahead. Creative Motion Mastery with Adobe After Effects is the definitive guide that not only equips you with the essential skills to distinguish yourself, but also takes you through real projects that you can add to your portfolio.Guided by a hands-on learning approach, you'll master the UI, workflow, and diverse projects such as text animation, shape layers, and rotoscoping. With this newfound knowledge, you'll take your graphic design and post-production skills to the next level using chroma keying, particle simulations, and 2D and 3D tracking. You'll progress faster than someone taking a formal course in Adobe After Effects! And it's not all about creating; you'll import graphics from Illustrator and Photoshop and apply post-production effects to give them a new life. Finally, you'll discover how seamlessly you can export and manage your projects, ensuring end-to-end coverage of all you need.By the end of the book, you'll have a thorough understanding of Adobe After Effects, equipped with the skills and practice you need to propel your career in graphic design.What you will learn- Create and customize text layers, including text animations, using shape layers- Enhance projects with audio elements and apply audio effects to shape layers- Develop editable motion graphics templates for Premiere Pro- Implement color correction and grading techniques to enhance footage in projects- Use rotoscoping to remove and mask objects seamlessly- Generate realistic effects such as rain, fire, and smoke using particle simulations- Master the art of compositing through Chroma Keying- Get to grips with 2D and 3D tracking for seamless element integrationWho this book is forThis book is for graphic designers, UX and UI designers, e-learning designers, motion graphics artists, video editors, and VFX artists. A fundamental grasp and minimal experience with After Effects will help you follow long the concepts covered in this book. Additionally, familiarity with Illustrator and Photoshop will provide an added advantage.Table of Contents- Getting to Know the User Interface and Workflow- Applying Effects and Presets to Create Animated Graphics- Deep-Dive into Text Animations- Animating Shape Layers- Adding Motion to Photoshop and Illustrator Graphics- Creating Motion Graphic Templates for Premiere Pro- Color Correction and Color Grading- Rotoscoping and Mask Tracking Techniques- Chroma Keying- Working with Particle simulations- Working with 2D and 3D Tracking- Exporting and Managing Projects