Create VR, AR, and MR experiences with the help of step-by-step tutorials on VR and AR simulators, interactivity, sound and visual effects, along with advanced XR techniques such as multiplayer integrationKey FeaturesCreate impressive XR projects without the need to own expensive VR headsetsExplore Unity XR features and techniques such as hand-tracking and plane detection using the XR Interaction Toolkit and AR FoundationBring your XR projects to life with step-by-step explanations along with practical examplesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe drastic surge in the demand for XR development has led to an imminent need for comprehensive resources, learning material, and overall know-how in this area. This one-stop resource will ensure that professionals venturing into XR development can access all XR-related techniques to build appealing XR applications, without relying on Google every step of the way.This book is your guide to developing XR applications with Unity 2021.3 or later versions, helping you to create VR, AR, and MR experiences of increasing complexity. The chapters cover the entire XR application development process from setting up an interactive XR scene using the XR Interaction Toolkit or AR Foundation, adding physics, animations, continuous movement, teleportation, sound effects, and visual effects, to testing and deploying to VR headsets, simulators, smartphones, and tablets. Additionally, this XR book takes you on a journey from the basics of Unity and C# to advanced techniques such as building multiplayer applications and incorporating hand- and gaze-tracking capabilities.By the end of this book, you'll be fully equipped to create cutting-edge XR projects for engaging individual, academic, and industrial use cases that captivate your audience.What you will learnGet started with Unity by building your own 3D projectExplore the XR Interaction Toolkit and AR Foundation, as well as test XR applications on your PCFind out how to deploy XR projects on different platformsBuild interactive XR apps with increasing degrees of complexity by leveraging C# scriptingCreate a fully immersive VR drum scene by using Unity's audio and particle systemsAdd advanced XR techniques such as hand-tracking, gaze-tracking, and multiplayer capabilities to your XR appsWho this book is forThis book is for students, developers, researchers, and professionals with a background in computer science. Business analysts, PMs, and other management professionals and executives will also benefit from this book. If you have basic knowledge of programming and are looking to gain expertise in creating virtual reality and augmented reality applications in Unity, then this book is for you. While having experience as a VR game player with basic programming knowledge can enhance your understanding of the content, it is not a prerequisite.Table of ContentsIntroduction to XR and UnityThe Unity Editor and Scene CreationVR Development in UnityAR Development in UnityBuilding Interactive VR ExperiencesBuilding Interactive AR ExperiencesAdding Sound and Visual EffectsBuilding Advanced XR TechniquesBest Practices and Future Trends in XR Development
Refine your Java skills by seamlessly blending foundational core concepts with hands-on coding applications Key Features:- Gain a deep understanding of essential topics that will help you progress with Java- Learn by working on mini-projects to help reinforce the concepts you've learned- Gain comprehensive knowledge of the core concepts of Java- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Learn Java with Projects bridges the gap between introductory Java guides and verbose, theoretical references. This book is crafted to build a strong foundation in Java programming, starting from the Java environment itself. It goes far beyond a superficial review of the topics; it demonstrates, with practical examples, why these fundamentals are crucial for developing a deep understanding of the language.You'll not only learn about classes and objects but also see how these concepts are used in practical scenarios, enhancing your ability to write clean, efficient code. The engaging projects throughout the book provide real-world applications of complex topics, ensuring you can connect theoretical knowledge with practical skills.What makes this book stand out is the expertise of its authors. Seán, a seasoned university lecturer with over 20 years of experience, brings academic rigor and real-world insights, thanks to his work with a prestigious software company. Maaike, a passionate software developer and award-winning trainer, brings hands-on experience and a love for teaching.By the end of this book, you'll not only understand Java's core concepts and the critical advanced ones, but also gain practical experience through projects that mimic real-life challenges. What You Will Learn:- Get to grips with Java fundamentals to build a strong programming foundation- Gain a deep understanding of the critical object-oriented principles: encapsulation, inheritance and polymorphism- Apply real-world scenarios using classes, objects, and interfaces- Master exception handling for robust error management- Explore generics and collections to manage complex data structures- Utilize lambda expressions and streams for efficient data processing- Complete practical projects to reinforce theoretical knowledgeWho this book is for:This book is for anyone looking to learn the core concepts of Java. If you're learning programming (and Java) for the first time or want to upskill to Java (with experience in a different language), then this book is for you. Prior knowledge of programming is helpful but not necessary.Table of Contents- Getting Started with Java- Variables and Primitive Data Types- Operators and Casting- Conditional Statements- Understanding Iteration- Working with Arrays- Methods- Classes, Objects, and Enums- Inheritance and Polymorphism- Interfaces and Abstract Classes- Dealing with Exceptions- Java Core API- Generics and Collections- Lambda Expressions- Streams - Fundamentals- Streams: Advanced Concepts- Concurrency
Elevate your testing game to the next level using advanced techniques and proven strategies with this book for WebdriverIO beginners and automation pros alikeKey Features:Improve your coding skills and empower your automation journeyLeverage self-healing objects and adaptive frameworks for cutting-edge WebdriverIO automationOvercome script stability challenges and ensure robust, dependable test executionPurchase of the print or Kindle book includes a free PDF eBookBook Description:This book helps you embark on a comprehensive journey to master the art of WebdriverIO automation, from installation through to advanced framework development.You'll start by following step-by-step instructions on installing WebdriverIO, configuring Node packages, and creating a simple test. Here you'll gain an understanding of the mechanics while also learning to add reporting and screen captures to your test results to enhance your test case documentation. In the next set of chapters, you'll delve into the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites. The book goes beyond the basics, exploring testing techniques tailored for Jenkins as well as LambdaTest cloud environments. As you progress, you'll gain a deep understanding of both TypeScript and JavaScript languages and acquire versatile coding skills.By the end of this book, you'll have developed the expertise to construct a sophisticated test automation framework capable of executing an entire suite of tests using WebdriverIO in either TypeScript or JavaScript, as well as excel in your test automation endeavors and deliver reliable, efficient testing solutions.What You Will Learn:Discover techniques to efficiently maintain and enhance your Page Object Model, saving time and effortGain insight into diagnosing and resolving script instability issues to ensure reliable test executionImprove test resilience by building objects that adapt to changing element locatorsEnhance your testing productivity by learning to write effective test cases with TypeScriptExplore strategies for comprehensive result analysis to enable data-driven decision-makingDevelop frameworks that adapt to evolving user journeys, ensuring long-term test sustainabilityWho this book is for:Whether you are a novice software development engineer in test (SDET) joining your first WebdriverIO automation project building test cases in TypeScript, or a seasoned lead framework architect experienced in solutioning daily test automation challenges, this book is for you. This book will also help developers and framework architects with basic knowledge of JavaScript or TypeScript who are looking to gain expertise in functional frontend testing. A basic understanding of CSS and XPath will help you get the most out of this book.
Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and futureKey FeaturesUnderstand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF eBookBook Description"The metaverse" has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You'll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You'll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you'll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.What you will learnGet to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverseWho this book is forIf you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.Table of ContentsThe What and Why of the MetaverseAugmented Reality Status QuoWhere Is Virtual Reality Heading?The Value of Using 3D Visuals to InteractUnderstanding Perception TechnologiesThe Different Types of Computing TechnologiesWhere Are APIs NeededMaking and Using 3D Models and Integrating 2D ContentUnderstanding User Experience Design and User InterfaceNew Ways of Social InteractionVirtual and Onsite Work3D and 2D Content Forms and CreationRetail ExperiencesBenefits and Possible Dangers ReframedFuture Vision
Build real-world, scalable, and fault-tolerant IoT systems using Arduino MKR boards that collect, transmit, and store data on a massive scale in a structured databaseKey FeaturesSet up databases to store and retrieve information collected from various sensorsIngest your data into your database for storage with REST APIs and MQTTCommunicate with your application layer using different communication technologies from Arduino MKR and Portenta H7Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it's surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases.This book is an exploration of IoT's inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You'll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you'll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence.By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.What you will learnExplore data storage formats for both local and remote storage solutionsBuild projects that leverage the variety of communication standardsSet up a database to host data transmitted from various projectsUse MQTT and RESTful APIs to send data from devices to remote systemsPrepare for multiple devices using high availability measuresUse LoRa by implementing a gateway and a clientTransmit temperature and humidity data over RS-485 and HC-12Who this book is forThis book is for embedded systems engineers and electronics engineers who want to build IoT devices and gain insights into storing data collected from these devices, as well as establish communication between devices. The skills you learn in this book will come in handy even if your final product isn't built on Arduino. While prior experience with computers is assumed, expertise with embedded systems such as Arduino is not a prerequisite. Familiarity with Arduino programming will be beneficial, but not necessary.Table of ContentsGetting Started with ArduinoLeveraging Various Sensors for Data AcquisitionPrototyping with ShieldsStoring Data Collected from SensorsImplementing REST and MQTT Protocols for CommunicationUtilizing Various Communication TechnologiesCommunicating with LoRaWANWorking with EthernetLeveraging Cellular Communication TechnologyCommunicating via HC-12Managing Communication with RS-485Enhancing Security for Reducing RiskScaling for High AvailabilityBuilding and Manufacturing Hardware
Unlock the secrets of malware data science with cutting-edge techniques, AI-driven analysis, and international compliance standards to stay ahead of the ever-evolving cyber threat landscapeKey FeaturesGet introduced to three primary AI tactics used in malware and detectionLeverage data science tools to combat critical cyber threatsUnderstand regulatory requirements for using AI in cyber threat managementPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn today's world full of online threats, the complexity of harmful software presents a significant challenge for detection and analysis. This insightful guide will teach you how to apply the principles of data science to online security, acting as both an educational resource and a practical manual for everyday use.Malware Science starts by explaining the nuances of malware, from its lifecycle to its technological aspects before introducing you to the capabilities of data science in malware detection by leveraging machine learning, statistical analytics, and social network analysis. As you progress through the chapters, you'll explore the analytical methods of reverse engineering, machine language, dynamic scrutiny, and behavioral assessments of malicious software. You'll also develop an understanding of the evolving cybersecurity compliance landscape with regulations such as GDPR and CCPA, and gain insights into the global efforts in curbing cyber threats.By the end of this book, you'll have a firm grasp on the modern malware lifecycle and how you can employ data science within cybersecurity to ward off new and evolving threats.What you will learnUnderstand the science behind malware data and its management lifecycleExplore anomaly detection with signature and heuristics-based methodsAnalyze data to uncover relationships between data points and create a network graphDiscover methods for reverse engineering and analyzing malwareUse ML, advanced analytics, and data mining in malware data analysis and detectionExplore practical insights and the future state of AI's use for malware data scienceUnderstand how NLP AI employs algorithms to analyze text for malware detectionWho this book is forThis book is for cybersecurity experts keen on adopting data-driven defense methods. Data scientists will learn how to apply their skill set to address critical security issues, and compliance officers navigating global regulations like GDPR and CCPA will gain indispensable insights. Academic researchers exploring the intersection of data science and cybersecurity, IT decision-makers overseeing organizational strategy, and tech enthusiasts eager to understand modern cybersecurity will also find plenty of useful information in this guide. A basic understanding of cybersecurity and information technology is a prerequisite.Table of ContentsMalware Data Science Life Cycle OverviewAn Overview of the International History of Cyber Malware ImpactsTopological Data Analysis for Malware Detection and AnalysisArtificial Intelligence for Malware Data Analysis and DetectionBehavior-Based Malware Data Analysis and DetectionThe Future State of Malware Data Analysis and DetectionThe Future State of Key International Compliance RequirementsEpilogue - A Harmonious Overture to the Future of Malware Data Science and Cybersecurity
An easy-to-follow guide for newbies and intermediate users to learn Manjaro Linux for everyday tasks with practical examplesKey Features:- Explore Manjaro, from installation to using all its available applications- Learn how to easily protect your privacy online, manage your system, and handle backups- Master key Linux concepts such as file systems, sharing, systemd, and journalctl- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Manjaro Linux, renowned for its smooth installation, user-friendly interface, and robust security features, is an Arch-based fast Linux distro enhanced with multiple graphical environments, GUI modules, and a full application setup, resulting in a top Linux distribution. This book is your guide to unlocking its full potential.Starting with an overview of the different editions and detailed installation instructions, the initial section offers insights into the GUI modules and features of each official edition. You'll then explore the regular software, work with the Terminal, and cover topics such as package management, filesystems, automounts, storage, backups, and encryption. The subsequent chapters will help you get to grips with data sharing, security and networking, firewalls, VPNs, and SSH in depth. Finally, you'll become well-versed in service and user management, troubleshooting, scripting, automation, and kernel switching.The book's modular structure allows you to quickly navigate to the specific information you need, and by its end, you'll have gained an appreciation of what sets Manjaro Linux apart.What You Will Learn:- Gain insights into the full set of Manjaro capabilities- Install Manjaro and easily customize it using a graphical user interface- Explore all types of supported software, including office and gaming applications- Learn basic and advanced Terminal usage with examples- Understand package management, filesystems, network and the Internet- Enhance your security with Firewall setup, VPN, SSH, and encryption- Explore systemd management, journalctl, logs, and user management- Get to grips with scripting, automation, kernel basics, and switchingWho this book is for:While this book is primarily a reference guide for beginners and intermediate users who want to explore Linux via Manjaro's top-notch distribution, it's also a perfect guide for Linux enthusiasts and newbies in search of a stable and secure OS with plenty of flexibility. Whether you're a student, new to Linux, or looking to migrate from Windows/macOS, this book will help you navigate easily. Prior Linux experience will help but is not required to get started with this book.Table of Contents- Introduction to Manjaro and Linux- Editions Overview and Installation- Editions and Flavors- Help, Online Resources, Forums, and Updates- Officially Supported Software Part 1- Officially Supported software Part 2 - 3D Games, and Windows SW- All Basic Terminal Commands - Easy and with Examples- Package Management, Dependencies, Environment Variables, and Licenses- Filesystem Basics, Structure and Types, NTFS, Automount, and RAID- Storage, Mounting, Encryption, and Backups- Network Fundamentals, File Sharing, and SSH- Internet, Network Security, Firewalls, and VPNs- Service Management, System Logs, and User Management- System Cleanup, Troubleshooting, Defragmentation, and Reinstallation- Shell Scripts and Automation- Linux Kernel Basics and Switching
Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced dataKey FeaturesUnderstand how to use modern machine learning frameworks with detailed explanations, illustrations, and code samplesLearn cutting-edge deep learning techniques to overcome data imbalanceExplore different methods for dealing with skewed data in ML and DL applicationsPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionAs machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.Machine Learning for Imbalanced Data begins by introducing you to the challenges posed by imbalanced datasets and the importance of addressing these issues. It then guides you through techniques that enhance the performance of classical machine learning models when using imbalanced data, including various sampling and cost-sensitive learning methods.As you progress, you'll delve into similar and more advanced techniques for deep learning models, employing PyTorch as the primary framework. Throughout the book, hands-on examples will provide working and reproducible code that'll demonstrate the practical implementation of each technique.By the end of this book, you'll be adept at identifying and addressing class imbalances and confidently applying various techniques, including sampling, cost-sensitive techniques, and threshold adjustment, while using traditional machine learning or deep learning models.What you will learnUse imbalanced data in your machine learning models effectivelyExplore the metrics used when classes are imbalancedUnderstand how and when to apply various sampling methods such as over-sampling and under-samplingApply data-based, algorithm-based, and hybrid approaches to deal with class imbalanceCombine and choose from various options for data balancing while avoiding common pitfallsUnderstand the concepts of model calibration and threshold adjustment in the context of dealing with imbalanced datasetsWho this book is forThis book is for machine learning practitioners who want to effectively address the challenges of imbalanced datasets in their projects. Data scientists, machine learning engineers/scientists, research scientists/engineers, and data scientists/engineers will find this book helpful. Though complete beginners are welcome to read this book, some familiarity with core machine learning concepts will help readers maximize the benefits and insights gained from this comprehensive resource.Table of ContentsIntroduction to Data Imbalance in Machine LearningOversampling MethodsUndersampling MethodsEnsemble MethodsCost-Sensitive LearningData Imbalance in Deep LearningData-Level Deep Learning MethodsAlgorithm-Level Deep Learning TechniquesHybrid Deep Learning MethodsModel CalibrationAppendix
Get to grips with application security, secure coding, and DevSecOps practices to implement in your development pipelineKey FeaturesUnderstand security posture management to maintain a resilient operational environmentMaster DevOps security and blend it with software engineering to create robust security protocolsAdopt the left-shift approach to integrate early-stage security in DevSecOpsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevSecOps is built on the idea that everyone is responsible for security, with the goal of safely distributing security decisions at speed and scale to those who hold the highest level of context. This practice of integrating security into every stage of the development process helps improve both the security and overall quality of the software. This book will help you get to grips with DevSecOps and show you how to implement it, starting with a brief introduction to DevOps, DevSecOps, and their underlying principles.After understanding the principles, you'll dig deeper into different topics concerning application security and secure coding before learning about the secure development lifecycle and how to perform threat modeling properly. You'll also explore a range of tools available for these tasks, as well as best practices for developing secure code and embedding security and policy into your application. Finally, you'll look at automation and infrastructure security with a focus on continuous security testing, infrastructure as code (IaC), protecting DevOps tools, and learning about the software supply chain.By the end of this book, you'll know how to apply application security, safe coding, and DevSecOps practices in your development pipeline to create robust security protocols.What you will learnFind out how DevSecOps unifies security and DevOps, bridging a significant cybersecurity gapDiscover how CI/CD pipelines can incorporate security checks for automatic vulnerability detectionUnderstand why threat modeling is indispensable for early vulnerability identification and actionExplore chaos engineering tests to monitor how systems perform in chaotic security scenariosFind out how SAST pre-checks code and how DAST finds live-app vulnerabilities during runtimePerform real-time monitoring via observability and its criticality for security managementWho this book is forThis book is for DevSecOps engineers and application security engineers. Developers, pentesters, and information security analysts will also find plenty of useful information in this book. Prior knowledge of the software development process and programming logic is beneficial, but not required.Table of ContentsIntroducing DevSecOpsDevSecOps PrinciplesUnderstanding the Security PostureUnderstanding ObservabilityUnderstanding Chaos EngineeringContinuous Integration and Continuous DeploymentThreat ModelingSoftware Composition Analysis (SCA)Static Application Security Testing (SAST)Infrastructure-as-Code (IaC) ScanningDynamic Application Security Testing (DAST)Setting Up a DevSecOps Program with Open Source ToolsLicenses Compliance, Code Coverage, and Baseline PoliciesSetting Up a Security Champions ProgramCase StudiesConclusion
Over 70 recipes to help you develop smart applications on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano using the power of machine learningPurchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesOver 20+ new recipes, including recognizing music genres and detecting objects in a sceneCreate practical examples using TensorFlow Lite for Microcontrollers, Edge Impulse, and moreExplore cutting-edge technologies, such as on-device training for updating models without data leaving the deviceBook DescriptionDiscover the incredible world of tiny Machine Learning (tinyML) and create smart projects using real-world data sensors with the Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano.TinyML Cookbook, Second Edition, will show you how to build unique end-to-end ML applications using temperature, humidity, vision, audio, and accelerometer sensors in different scenarios. These projects will equip you with the knowledge and skills to bring intelligence to microcontrollers. You'll train custom models from weather prediction to real-time speech recognition using TensorFlow and Edge Impulse.Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP.This improved edition includes new recipes featuring an LSTM neural network to recognize music genres and the Faster-Objects-More-Objects (FOMO) algorithm for detecting objects in a scene. Furthermore, you'll work on scikit-learn model deployment on microcontrollers, implement on-device training, and deploy a model using microTVM, including on a microNPU. This beginner-friendly and comprehensive book will help you stay up to date with the latest developments in the tinyML community and give you the knowledge to build unique projects with microcontrollers!What you will learnUnderstand the microcontroller programming fundamentalsWork with real-world sensors, such as the microphone, camera, and accelerometerImplement an app that responds to human voice or recognizes music genresLeverage transfer learning with FOMO and KerasLearn best practices on how to use the CMSIS-DSP libraryCreate a gesture-recognition app to build a remote controlDesign a CIFAR-10 model for memory-constrained microcontrollersTrain a neural network on microcontrollersWho this book is forThis book is ideal for machine learning engineers or data scientists looking to build embedded/edge ML applications and IoT developers who want to add machine learning capabilities to their devices. If you're an engineer, student, or hobbyist interested in exploring tinyML, then this book is your perfect companion.Basic familiarity with C/C++ and Python programming is a prerequisite; however, no prior knowledge of microcontrollers is necessary to get started with this book.Table of ContentsGetting Ready to Unlock ML on MicrocontrollersUnleashing Your Creativity with MicrocontrollersBuilding a Weather Station with TensorFlow Lite for MicrocontrollersUsing Edge Impulse and the Arduino Nano to Control LEDs with Voice CommandsRecognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 1Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi PicoClassifying Desk Objects with TensorFlow and the Arduino NanoBuilding a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico(N.B. Please use the Look Inside option to see further chapters)
Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis and modelingKey FeaturesUse mock datasets to explore data with the BigQuery web UI, bq CLI, and BigQuery API in the Cloud consoleMaster optimization techniques for storage and query performance in BigQueryEngage with case studies on data exploration and preparation for advertising, transportation, and customer support dataPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.The book doesn't merely offer theoretical insights; it's a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You'll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.By the end of this book, you'll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.What you will learnAssess the quality of a dataset and learn best practices for data cleansingPrepare data for analysis, visualization, and machine learningExplore approaches to data visualization in BigQueryApply acquired knowledge to real-life scenarios and design patternsSet up and organize BigQuery resourcesUse SQL and other tools to navigate datasetsImplement best practices to query BigQuery datasetsGain proficiency in using data preparation tools, techniques, and strategiesWho this book is forThis book is for data analysts seeking to enhance their data exploration and preparation skills using BigQuery. It guides anyone using BigQuery as a data warehouse to extract business insights from large datasets. A basic understanding of SQL, reporting, data modeling, and transformations will assist with understanding the topics covered in this book.Table of ContentsIntroducing BigQuery and Its ComponentsBigQuery Organization and DesignExploring Data in BigQueryLoading and Transforming DataQuerying BigQuery DataExploring Data with NotebooksFurther Exploring and Visualizing DataAn Overview of Data Preparation ToolsCleansing and Transforming DataBest Practices for Data Preparation, Optimization, and Cost ControlHands-On Exercise - Analyzing Advertising DataHands-On Exercise Analyzing Transportation DataHands-On Exercise - Analyzing Customer Support DataSummary and Future Directions
Effortlessly create and manage complex multi-component applications based on Docker containersKey FeaturesGain a clear understanding of software containers from the SecDevOps perspectiveMaster the construction of application pieces within containers to achieve a seamless life cyclePrepare your applications to run smoothly and with ease in complex container orchestratorsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevelopers are changing their deployment artifacts from application binaries to container images, giving rise to the need to build container-based apps as part of their new development workflow. Managing an app's life cycle is complex and requires effort-this book will show you how to efficiently develop, share, and execute applications.You'll learn how to automate the build and delivery process using CI/CD tools with containers as container orchestrators manage the complexity of running cluster-wide applications, creating infrastructure abstraction layers, while your applications run with high availability, resilience, and persistence. As you advance, you'll develop, test, and debug applications on your desktop and get them ready to run in production with optimal security standards, using deployment patterns and monitoring tools to help identify common issues. You'll also review deployment patterns that'll enable you to solve common deployment problems, providing high availability, scalability, and security to your applications. Finally, you'll explore different solutions to monitor, log, and instrument your applications as per open-source community standards.By the end of this book, you'll be able to manage your app's life cycle by implementing CI/CD workflows using containers to automate the building and delivery of its components.What you will learnFind out how to build microservices-based applications using containersDeploy your processes within containers using Docker featuresOrchestrate multi-component applications on standalone serversDeploy applications cluster-wide in container orchestratorsSolve common deployment problems such as persistency or app exposure using best practicesReview your application's health and debug it using open-source toolsDiscover how to orchestrate CI/CD workflows using containersWho this book is forThis book is for developers and DevOps engineers looking to learn about the implementation of containers in application development, especially DevOps engineers who deploy, monitor, and maintain container-based applications running on orchestrated platforms. In general, this book is for IT professionals who want to understand Docker container-based applications and their deployment. A basic understanding of coding and frontend-backend architectures is needed to follow the examples presented in this book.Table of ContentsModern Infrastructure and Applications with DockerBuilding Docker ImagesShipping Docker ImagesRunning Docker ContainersCreating Multi-Container ApplicationsFundamentals of OrchestrationOrchestrating with SwarmDeploying Applications with the Kubernetes OrchestratorImplementing Architecture PatternsLeveraging Application Data Management in KubernetesPublishing ApplicationsGaining Application InsightsManaging the Application Life Cycle
Understand essential IoT concepts to build smart IoT projects at reduced costs using the Arduino IoT Cloud platform, Arduino, ESP32 series boards, Amazon Alexa Voice Assistant, and MQT-135 with this practical guideKey FeaturesLearn about the Arduino IoT Cloud from scratch with hands-on projectsGain a solid understanding of IoT application development from basics to advanced featuresExplore the Arduino IoT Cloud's capabilities for commercial IoT solutions in depthPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe Arduino IoT Cloud offers a variety of features for building modern IoT solutions while reducing time and costs for prototyping and deployment. This book is a step-by-step guide, helping you master the powerful Arduino IoT Cloud ecosystem. This book begins by introducing you to the IoT landscape including its architecture, communication technologies, and protocols and then to the capabilities of the Arduino IoT Cloud platform and the Cloud Editor. With practical projects, such as monitoring air quality, building a portable asset tracker, and creating a remote alarm system using the LoRaWAN specification, you'll learn how to implement real-world IoT applications. Next, you'll explore communication between IoT devices and cloud platforms as well as the implementation of the Arduino IoT Cloud SDK and JavaScript for advanced customization. You'll also find out how to program IoT nodes, analyze the surrounding environment data, and visualize it on dashboards. Additionally, you'll get to grips with advanced features such as task scheduling, synchronization, remote over-the-air updates for IoT nodes, and scripting with CCLI, through hands-on examples.By the end of this book, you'll have learned how to work with the Arduino IoT Cloud platform and related hardware devices and will be able to develop industry-specific and cost-effective IoT solutions, such as smart homes and smart agriculture.What you will learnGain a solid understanding of IoT fundamentals and conceptsBuild creative IoT projects using Arduino MKR boards, Pulse sensors, and moreMaster various communication technologies, including LoRaWAN and 3G/4GHarness data exchange between IoT devices and cloud platforms using Zapier or IFTTTExplore advanced features like scheduling, over-the-air updates, and scriptingUnderstand easy-to-sync properties across multiple devices with no-codeDevelop voice-assisted home automation and heart rate tracking applicationsWho this book is forThis book is for aspiring IoT developers and seasoned professionals eager to harness the potential of Arduino and cloud integration as well as technology enthusiasts, students, and hobbyists interested in experimenting with IoT technologies. Prior knowledge of basic electronics and embedded systems, cloud computing, Arduino, and programming languages like C and JavaScript is needed.Table of ContentsIntroduction to IoT and ArduinoFirst Look at the Arduino IoT CloudInsights into the Arduino IoT Cloud Platform and the Cloud EditorProject #1 - A Smarter Setup for Sensing the EnvironmentProject #2 - Creating a Portable Thing Tracker Using MKR GSM 1400Project #3 - A Remote Asset Tracking Application with LoRaWANEnabling Communication between Different DevicesWorking with the Arduino IoT Cloud SDK and JavaScriptProject #4 - Collecting Data from the Soil and Environment for Smart FarmingProject #5 - Making Your Home Smarter by Voice Assistant(N.B. Please use the Look Inside option to see further chapters)
Advance your Apex programming skills to the next level with best practices, proven techniques, and practical code samples with this updated edition along with the most recent advancements in ApexKey FeaturesUnderstand the various integration asynchronous processing options in Apex and how to use them to scale you applicationLearn how to integrate external systems with Apex through both inbound and outbound integrationsProfile and improve the performance of your Apex codeBook DescriptionApplications built on the Salesforce platform are now a key part of many organizations' IT systems, with more complex and integrated solutions being delivered every day. As a Salesforce developer working with Apex, it is important to understand the range and variety of tools at your disposal, how and when to use them, and what the best practices are.This revised second edition includes a complete restructuring and five new chapters filled with detailed content on the latest Salesforce innovations including integrating with DataWeave in Apex, and utilizing Flow and Apex together to build scalable applications with Administrators.This Salesforce book starts with a discussion around common mistakes, debugging, exception handling, and testing. The second section focuses on the different asynchronous Apex programming options to help you build more scalable applications, before the third section focuses on integrations, including working with platform events and developing custom Apex REST web services. Finally, the book finishes with a section dedicated to profiling and improving the performance of your Apex including architecture. With code examples used to facilitate discussion throughout, by the end of the book you will be able to develop robust and scalable applications in Apex with confidence.What you will learnUnderstand common Apex mistakes and how to avoid them through best practicesLearn how to debug Apex code effectivelyDiscover the different asynchronous Apex options, common use cases, and best practicesExtend the capabilities of the Salesforce platform with the power of integrationsParse and manipulate data easily with the use of DataWeave functionsDevelop custom Apex REST services to allow inbound integrationsProfile and improve the performance of your Apex codeWho this book is forDevelopers who have basic to intermediate Apex programming knowledge and are interested in mastering Apex programming while exploring the Salesforce.com platform. This book is also ideal for experienced Java or C# developers who are moving to Apex programming for developing apps on the Salesforce platform. Basic Apex programming knowledge is assumed.Table of ContentsCommon Apex MistakesDebugging ApexTriggers and Managing Trigger ExecutionExceptions and Exception HandlingTesting Apex CodeSecure Apex ProgrammingUtilizing Future MethodsWorking with Batch ApexWorking with Queueable ApexScheduling Apex JobsIntegrating with SalesforceUsing Platform EventsApex and FlowApex REST and Custom Web ServicesOutbound Integrations - RESTOutbound Integrations - SOAPDataWeave in ApexPerformance and the Salesforce Governor LimitsPerformance ProfilingImproving Apex PerformancePerformance and Application Architectures
Become a proficient Ruby developer and expand your skill set by exploring the world of Ruby from a PHP developer's perspectiveKey FeaturesUnderstand the notable differences between Ruby and PHP developmentGain practical experience and proficiency in Ruby by contrasting PHP examples with their equivalent Ruby counterpartsExplore how Ruby integrates into the Ruby on Rails framework and make insightful comparisons with PHP frameworksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAre you a PHP developer looking to take your first steps into the world of Ruby development? From PHP to Ruby on Rails will help you leverage your existing knowledge to gain expertise in Ruby on Rails. With a focus on bridging the gap between PHP and Ruby, this guide will help you develop the Ruby mindset, set up your local environment, grasp the syntax, master scripting, explore popular Ruby frameworks, and find out about libraries and gems.This book offers a unique take on Ruby from the perspective of a seasoned PHP developer who initially refused to learn other technologies, but never looked back after taking the leap. As such, it teaches with a language-agnostic approach that will help you feel at home in any programming language without learning everything from scratch. This approach will help you avoid common mistakes such as writing Ruby as if it were PHP and increase your understanding of the programming ecosystem as a whole.By the end of this book, you'll have gained a solid understanding of Ruby, its ecosystem, and how it compares to PHP, enabling you to build robust and scalable applications using Ruby on Rails.What you will learnSet up a robust development environment by configuring essential tools and dependenciesUnderstand the MVC model and learn effective techniques for working with Ruby libraries and frameworksIntegrate authentication functionality into your Rails application by leveraging gemsFind out how to process data from forms, URLs, and sessions within a Ruby on Rails applicationGain proficiency in using functions and gems for debugging and troubleshooting your Rails projectCreate a simple Rails application, run it, and debug it in production modeWho this book is forThis book is for PHP developers new to Ruby and Ruby on Rails. Whether you're a seasoned PHP developer or just starting out, this book will show you how you can transfer your existing PHP knowledge to Ruby and build web applications using the powerful Ruby on Rails framework.Table of ContentsUnderstanding the Ruby Mindset and CultureSetting Up Our Local EnvironmentComparing Basic Ruby Syntax to PHPRuby Scripting versus PHP ScriptingLibraries and Class SyntaxLibraries vs GemsRuby Class SyntaxDebugging RubyBringing It All TogetherConsiderations for Hosting Rails Applications vs PHP Applications
Gain an in-depth understanding of MVVM and .NET MAUI and learn how to effectively apply the MVVM design pattern with the help of this practical guideKey FeaturesGet to grips with the principles and benefits of the Model-View-ViewModel design patternGain insights into .NET MAUI's MVVM-enabling components and effectively apply them with hands-on examplesLearn data binding, navigation, and testable code techniques to create dynamic, accessible, and localized appsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn today's fast-paced world of modern software development, teams need to be efficient, productive, and capable of rapidly adapting to changes to deliver high-quality products, making it crucial for developers to write maintainable and easy-to-test code.The MVVM Pattern in .NET MAUI helps you to thoroughly explore the Model-View-View Model (MVVM) design pattern. The chapters show you how this pattern helps in structuring code to embrace the separation of concerns, allowing for loosely coupled user interface and application logic, which ultimately empowers you to write more robust, maintainable, and testable code. The book also highlights .NET MAUI's capabilities and features, and enables you to delve into the essential components within the framework that facilitate the application of the MVVM pattern. With the help of a sample application, this definitive guide takes a hands-on approach to walk you through both the essential and advanced usages of the MVVM pattern to ensure that you successfully apply the practical aspects of the pattern to your .NET MAUI projects.By the end of this book, you'll have gained a comprehensive understanding of the MVVM design pattern and its relevance in the context of .NET MAUI, as well as developed the skills needed to successfully apply it in practice.What you will learnGain a thorough understanding of the MVVM design patternGet to grips with the components that enable MVVM in .NET MAUIApply the MVVM pattern in practice within .NET MAUIBecome proficient in data binding in .NET MAUIDiscover how to navigate from within a view modelFind out how to effectively write testable code and unit testsWho this book is forThis book is for developers with experience in C# and basic knowledge of .NET MAUI or Xamarin.Forms who are looking to create cross-platform applications with .NET MAUI and leverage the MVVM pattern. Through practical examples and clear explanations, this book helps both newcomers and experienced developers master the application of MVVM principles within .NET MAUI projects.Table of ContentsThe MVVM Design PatternThe .NET MAUI FrameworkMVVM Enablers in .NET MAUIDatabinding in .NET MAUICommunity ToolkitsWorking with Collections Dependency Injection, Services and Messaging .NET MAUI Shell and Navigation Handling User Input and ValidationWorking with Remote DataCreating MVVM-Friendly ControlsLocalization and Accessibility with MVVMUnit TestingDebugging and Troubleshooting
Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and the structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them on various computer vision and natural language processing problems Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe field of deep learning has developed rapidly in the past years and today covers broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.The second part of the book introduces convolutional networks for computer vision. We'll learn how to solve image classification, object detection, instance segmentation, and image generation tasks. The third part focuses on the attention mechanism and transformers - the core network architecture of large language models. We'll discuss new types of advanced tasks, they can solve, such as chat bots and text-to-image generation.By the end of this book, you'll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models or adapt existing ones to solve your tasks. You'll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.What you will learnEstablish theoretical foundations of deep neural networksUnderstand convolutional networks and apply them in computer vision applicationsBecome well versed with natural language processing and recurrent networksExplore the attention mechanism and transformersApply transformers and large language models for natural language and computer visionImplement coding examples with PyTorch, Keras, and Hugging Face TransformersUse MLOps to develop and deploy neural network modelsWho this book is forThis book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.Table of ContentsMachine Learning - an IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision with Convolutional NetworksAdvanced Computer Vision ApplicationsNatural Language Processing and Recurrent Neural NetworksThe Attention Mechanism and TransformersExploring Large Language Models in DepthAdvanced Applications of Large Language ModelsMachine Learning Operations (ML Ops)
Get a clear understanding of the Microsoft 365 platform from concept through to execution to confidently prepare for exam, and benefit from having a handy, on-the-job desktop reference guideKey FeaturesPractice with exam-style questions based on the latest certification exam syllabusReview the security considerations and benefits of adopting different types of cloud servicesVerify your knowledge of key concepts through chapter assessments, insider tips, and practice questionsPurchase of this book unlocks access to web-based exam prep resources including practice questions, flashcards, and exam tipsBook DescriptionThe MS-900 exam tests your understanding of Microsoft 365 services and components, along with their implementation, security, licensing, and general cloud concepts. This revised third edition helps you gain detailed actionable insights into the topics included in the latest syllabus, covering each topic according to its weight in the exam.You'll begin by reviewing key cloud concepts, including cloud computing, services, and development models, and then explore different cloud architectures and learn what Microsoft offers as a service in the form of SaaS, IaaS, and PaaS. As you advance, you'll get to grips with core Microsoft 365 components as well as the processes and tools used for managing Windows 10, Windows 11, and Microsoft 365 apps. This edition also includes expanded information on the Microsoft Viva Suite, formerly Workplace Analytics. The chapters shed light on security, compliance, privacy, and trust in Microsoft 365, and provide additional guidance regarding the pricing and support offered by Microsoft for different services and apps.By the end of this MS-900 book, you'll have gained all the knowledge and skills needed to confidently appear for the exam.What you will learnGain insight into the exam objectives and knowledge needed to take the MS-900 examDiscover and implement best practices for licensing options available in Microsoft 365Understand the different Microsoft 365 Defender servicesPrepare to address the most common types of threats against an environmentIdentify and unblock the most common cloud adoption challengesArticulate key productivity, collaboration, security, and compliance selling points of M365Explore licensing and payment models available for M365Who this book is forThis book is for entry as well as mid-level experienced administrators and individuals aspiring to pass the latest MS-900 exam and achieve Microsoft 365 certification. Basic knowledge of Microsoft services and cloud concepts is necessary to get the most out of this book.Table of ContentsDescribe the Different Types of Cloud Services AvailableDescribe the Benefits and Considerations for Using Cloud, Hybrid, or On-Premises ServicesDescribe the Productivity Solutions of Microsoft 365Describe the Collaborative Solutions of Microsoft 365Describe Endpoint Modernization, Management Concepts, and Deployment Options in Microsoft 365Describe the Analytics Capabilities of Microsoft 365Describe Zero Trust Principles for Microsoft 365Understanding Identity and Access Management SolutionsDescribe the Threat Protection Solutions of Microsoft 365Describe the Trust, Privacy, Risk, and Compliance Solutions of Microsoft 365Identify Microsoft 365 Pricing and Billing Management OptionsIdentify Licensing Options Available in Microsoft 365Identify Support Options for Microsoft 365 Services
Learn how to improve the maintainability of C# code using modern tools and techniques to resolve technical debt while working safely and efficiently with legacy codeKey Features:- Apply a wide range of refactoring techniques using the latest tools and features of C#- Discover ways to safely improve your code using tests, Roslyn analyzers, and AI assistance- Find ways of communicating technical debt and improving your code in agile and enterprise settings- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Software projects start as brand-new greenfield projects, but invariably become muddied in technical debt far sooner than you'd expect. In Refactoring with C#, you'll explore what technical debt is and how it arises before walking through the process of safely refactoring C# code using modern tooling in Visual Studio and more recent C# language features using C# 12 and .NET 8. This book, written by a Microsoft MVP, will guide you through the process of refactoring safely through advanced unit testing with XUnit and libraries like Moq, Snapper, and Scientist .NET. You'll explore maintainable code through SOLID principles and defensive coding techniques made possible in newer versions of C#. You'll also find out how to run code analysis and write custom Roslyn analyzers to detect and resolve issues unique to your code.The nature of coding is changing, and you'll explore how to use AI with the GitHub Copilot Chat to refactor, test, document, and generate code before ending with a discussion about communicating technical debt to leadership and getting organizational buy-in to refactor your code in enterprise organizations and in agile teams.By the end of this book, you'll understand the nature of refactoring and see how you can safely, effectively, and repeatably pay down the technical debt in your application while adding value to your business.What You Will Learn:- Understand technical debt, its causes and effects, and ways to prevent it- Explore different ways of refactoring classes, methods, and lines of code- Discover how to write effective unit tests supported by libraries such as Moq- Understand SOLID principles and factors that lead to maintainable code- Use AI to analyze, improve, and test code with the GitHub Copilot Chat- Apply code analysis and custom Roslyn analyzers to ensure that code stays clean- Communicate tech debt and code standards successfully in agile teamsWho this book is for:This book is for any developer familiar with C# who wants to improve the code they work with on a day-to-day basis. While this book will be most beneficial to new developers with only a year or two of experience, even senior engineers and engineering managers can make the most of this book by exploring not just the process of refactoring, but advanced techniques with libraries like Moq, Snapper, Scientist .NET, and writing custom Roslyn analyzers.Table of Contents- Technical Debt, Code Smells, and Refactoring- Introduction to Refactoring- Method-Level Refactorings- Class-Level Refactorings- Code-Level Refactorings- Unit Testing- Test Driven Development- Avoiding Code Anti-Patterns with SOLID- Advanced Unit Testing- Defensive Coding Techniques- AI-Assisted Refactoring with GitHub Copilot- Code Analysis in Visual Studio- Creating a Roslyn Analyzer- Refactoring Code with Roslyn Analyzers- Communicating Technical Debt- Adopting Code Standards- Agile Refactoring
Take your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovationsKey FeaturesLearn to build robust ML pipeline solutions for databricks transitionMaster commonly available features like AutoML and MLflowLeverage data governance and model deployment using MLflow model registryPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform.You'll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you'll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You'll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows.By the end of this book, you'll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.What you will learnTransition smoothly from DIY setups to databricksMaster AutoML for quick ML experiment setupAutomate model retraining and deploymentLeverage databricks feature store for data prepUse MLflow for effective experiment trackingGain practical insights for scalable ML solutionsFind out how to handle model drifts in production environmentsWho this book is forThis book is for experienced data scientists, engineers, and developers proficient in Python, statistics, and ML lifecycle looking to transition to databricks from DIY clouds. Introductory Spark knowledge is a must to make the most out of this book, however, end-to-end ML workflows will be covered. If you aim to accelerate your machine learning workflows and deploy scalable, robust solutions, this book is an indispensable resource.Table of ContentsML Process and ChallengesOverview of ML on DatabricksUtilizing Feature Store Understanding MLflow ComponentsCreate a Baseline Model for Bank Customer Churn Prediction Using AutoMLModel Versioning and WebhooksModel Deployment ApproachesAutomating ML Workflows Using the Databricks JobsModel Drift Detection for Our Churn Prediction Model and RetrainingCI/CD to Automate Model Retraining and Re-Deployment.
Configure your Fedora Linux environment as a professional system administration workstation with this comprehensive guideKey FeaturesLeverage best practices and post-installation techniques to optimize your Fedora Linux workstationLearn how to optimize operating system tuning to enhance system administrationExplore Fedora Linux's virtualization resources using QEMU, KVM, and libvirt technologiesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionFedora Linux is a free and open-source platform designed for hardware, clouds, and containers that enables software developers and community members to create custom solutions for their customers. This book is a comprehensive guide focusing on workstation configuration for the modern system administrator.The book begins by introducing you to the philosophy underlying the open-source movement, along with the unique attributes of the Fedora Project that set it apart from other Linux distributions. The chapters outline best practices and strategies for essential system administration tasks, including operating system installation, first-boot configuration, storage, and network setup. As you make progress, you'll get to grips with the selection and usage of top applications and tools in the tech environment. The concluding chapters help you get a clear understanding of the basics of version control systems, enhanced Linux security, automation, virtualization, and containers, which are integral to modern system administration.By the end of this book, you'll have gained the knowledge needed to optimize day-to-day tasks related to Linux-based system administration.What you will learnDiscover how to configure a Linux environment from scratchReview the basics of Linux resources and componentsFamiliarize yourself with enhancements and updates made to common Linux desktop toolsOptimize the resources of the Linux operating systemFind out how to bolster security with the SELinux moduleImprove system administration using the tools provided by FedoraGet up and running with open container creation using PodmanWho this book is forThis book is for individuals who want to use Fedora Linux as a workstation for daily system administration tasks and learn how to optimize the distribution's tools for these functions. Although you should have a basic understanding of Linux and system administration, extensive knowledge of it is not necessary.Table of ContentsLinux and Open Source ProjectsBest practices for installationTuning the desktop environmentOptimizing storage usageNetwork and connectivityText editorsLibreOffice SuiteMail clients and browsersSandboxed applicationsSystem AdministrationPerformance tuning best practicesSELinuxVirtualization and containers
Get to grips with cloud exploits, learn the fundamentals of cloud security, and secure your organization's network by pentesting AWS, Azure, and GCP effectivelyKey Features:Discover how enterprises use AWS, Azure, and GCP as well as the applications and services unique to each platformUnderstand the key principles of successful pentesting and its application to cloud networks, DevOps, and containerized networks (Docker and Kubernetes)Get acquainted with the penetration testing tools and security measures specific to each platformPurchase of the print or Kindle book includes a free PDF eBookBook Description:With AWS, Azure, and GCP gaining prominence, mastering their unique features, ecosystems, and penetration testing protocols has become an indispensable skill, which is precisely what this pentesting guide for cloud platforms will help you achieve. As you navigate through the chapters, you'll explore the intricacies of cloud security testing and gain valuable insights into how pentesters and red teamers evaluate cloud environments effectively.In addition to its coverage of these cloud platforms, the book also guides you through modern methodologies for testing containerization technologies such as Docker and Kubernetes, which are fast becoming staples in the cloud ecosystem. Additionally, it places extended focus on penetration testing AWS, Azure, and GCP through serverless applications and specialized tools. These sections will equip you with the tactics and tools necessary to exploit vulnerabilities specific to serverless architecture, thus providing a more rounded skill set.By the end of this cloud security book, you'll not only have a comprehensive understanding of the standard approaches to cloud penetration testing but will also be proficient in identifying and mitigating vulnerabilities that are unique to cloud environments.What You Will Learn:Familiarize yourself with the evolution of cloud networksNavigate and secure complex environments that use more than one cloud serviceConduct vulnerability assessments to identify weak points in cloud configurationsSecure your cloud infrastructure by learning about common cyber attack techniquesExplore various strategies to successfully counter complex cloud attacksDelve into the most common AWS, Azure, and GCP services and their applications for businessesUnderstand the collaboration between red teamers, cloud administrators, and other stakeholders for cloud pentestingWho this book is for:This book is for pentesters, aspiring pentesters, and red team members seeking specialized skills for leading cloud platforms-AWS, Azure, and GCP. Those working in defensive security roles will also find this book useful to extend their cloud security skills.
A pragmatic guide for modernizing your Java EE App with Jakarta EE for cloud-native, serverless excellenceKey FeaturesExplore the cargo tracker application, an industry-relevant example that illustrates key Jakarta EE concepts and practicesLearn how to transition from Java EE to Jakarta EE to modernize your existing applicationsUnderstand the benefits of cloud technologies and how to deploy a Jakarta EE application to the cloudPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionCloud-Native Development and Migration to Jakarta EE will help you unlock the secrets of Jakarta EE's evolution as you explore the migration and modernization of your applications. You'll discover how to make your code compatible with the latest Jakarta EE version and how to leverage its modern features effectively.First, you'll navigate the realm of cloud-native development as you demystify containers and get introduced to the Eclipse MicroProfile, a powerful tool in your toolkit. Next, you'll take the bold step of transitioning your applications from local hardware to the limitless possibilities of the cloud. By following the author's expert guidance to deploy your Jakarta EE applications on Microsoft Azure, you'll gain hands-on experience in managing cloud resources.In the final leg of your journey, you'll explore the world of serverless architecture. You'll learn to design and run services that are truly serverless, harnessing the potential of the event-driven paradigm for scalability and cost-efficiency.By the end of this book, you'll have mastered Jakarta EE and become a proficient cloud-native developer. Join us on this exciting journey of transformation and innovation as you pave the way for the future of Jakarta EE and cloud-native development.What you will learnExplore the latest advancements in Jakarta EE and gain a thorough understanding of its core features and capabilitiesUnderstand the principles and practices of designing and building cloud-native applicationsGain a detailed understanding of containers and DockerUncover how to embrace containers in your IT landscapeMove from your own hardware to managed hardware in the cloudDiscover how Kubernetes enhances scalability, resilience, and portabilityWho this book is forThis book is for developers working in small or large companies developing applications in Jakarta EE. If you're looking for a comprehensive guide that will provide you with all the tools and guidance needed to upgrade your existing applications, then this is the book for you. Intermediate-level knowledge and experience with Java EE 5/6/7/8 will help you get the most out of this book.Table of ContentsThe History of Enterprise JavaIntroducing the Cargo Tracker ApplicationMoving from Java EE to Jakarta EEModernizing Your Application with the Latest FeaturesMaking Your Application TestableIntroduction to Containers and DockerMeet KubernetesWhat Is Cloud Native?Deploying Jakarta EE Applications in the CloudIntroducing MicroProfileAppendix AAppendix B
Efficiently prepare for both CompTIA A+ Core 1 and Core 2 exams with a variety of exam-oriented practice questions to ensure that your knowledge is tested thoroughlyKey Features:Ensure a comprehensive understanding of each exam domain with in-depth practiceEnhance your problem-solving skills by working with real-world scenariosAssess your exam readiness with mock exams for both Core 1 and Core 2Purchase of this book unlocks access to web-based exam prep resources including practice questions, flashcards, and exam tipsBook Description:The CompTIA A+ exam is not only a valuable foundational certification, but also the key to unlocking a world of exciting career possibilities in the ever-dynamic IT landscape. This book combines the best-in-class practice tests for the exam, offering a substantial volume of exam-oriented practice material and mirroring the A+ exam's level of difficulty to ensure that you are not just prepared, but brimming with confidence when you sit for the A+ exam.The book begins with Core 1, delving into mobile devices, networking, hardware, virtualization, cloud computing, and troubleshooting. The chapters help you consolidate foundational knowledge essential for supporting computer software and hardware. As you progress to Core 2, you'll review the knowledge you need to support common operating systems and software installations. This book grants you lifelong access to valuable supplementary resources available on an online platform, which include A+ flashcards and invaluable exam insights. With unlimited website access, you'll have the freedom to practice as often as you wish, optimizing your readiness for the exam.By the end of this book, you'll be fully prepared to confidently take both the CompTIA A+ Core 1 and Core 2 exams.What You Will Learn:Expertly diagnose and resolve hardware, software, and networking issuesNavigate Microsoft Windows, macOS, Linux, and more with confidenceSecure wireless networks and protect against threatsTroubleshoot problems related to motherboards, RAM, CPU, and powerSkillfully use Microsoft command-line toolsImplement workstation backup and recovery methodsUtilize remote access technologies with easeAssess your proficiency in communication techniques and professional conductWho this book is for:Whether you're a student or a professional, if you're on a mission to ace the CompTIA A+ exam, this book is for you. This book isn't meant for teaching theory; instead, it will evaluate your retention of studied information and your exam readiness.
Harness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysisKey FeaturesCreate GIS solutions using the new features introduced in Python 3.10Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJIdentify the tools and resources that best align with your specific needsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python.This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you'll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You'll also learn how to leverage Python to process real-time data and create valuable information products.By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learnAutomate geospatial analysis workflows using PythonUnderstand the different formats in which geospatial data is availableUnleash geospatial tech tools to create stunning visualizationsCreate thematic maps with Python tools such as PyShp, OGR, and the Python Imaging LibraryBuild a geospatial Python toolbox for analysis and application developmentUnlock remote sensing secrets, detect changes, and process imageryLeverage ChatGPT for solving Python geospatial solutionsApply geospatial analysis to real-time data tracking and storm chasingWho this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.Table of ContentsLearning about Geospatial Analysis with PythonLearning about Geospatial DataThe Geospatial Technology LandscapeGeospatial Python ToolboxPython and Geospatial AlgorithmsCreating and Editing GIS DataPython and Remote SensingPython and Elevation DataAdvanced Geospatial ModelingWorking with Real-Time DataPutting It All Together
Enhance your skill set to pentest against real-world Microsoft infrastructure with hands-on exercises and by following attack/detect guidelines with OpSec considerationsKey FeaturesFind out how to attack real-life Microsoft infrastructureDiscover how to detect adversary activities and remediate your environmentApply the knowledge you've gained by working on hands-on exercisesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book teaches you the tactics and techniques used to attack a Windows-based environment, along with showing you how to detect malicious activities and remediate misconfigurations and vulnerabilities.You'll begin by deploying your lab, where every technique can be replicated. The chapters help you master every step of the attack kill chain and put new knowledge into practice. You'll discover how to evade defense of common built-in security mechanisms, such as AMSI, AppLocker, and Sysmon; perform reconnaissance and discovery activities in the domain environment by using common protocols and tools; and harvest domain-wide credentials. You'll also learn how to move laterally by blending into the environment's traffic to stay under radar, escalate privileges inside the domain and across the forest, and achieve persistence at the domain level and on the domain controller. Every chapter discusses OpSec considerations for each technique, and you'll apply this kill chain to perform the security assessment of other Microsoft products and services, such as Exchange, SQL Server, and SCCM.By the end of this book, you'll be able to perform a full-fledged security assessment of the Microsoft environment, detect malicious activity in your network, and guide IT engineers on remediation steps to improve the security posture of the company.What you will learnUnderstand and adopt the Microsoft infrastructure kill chain methodologyAttack Windows services, such as Active Directory, Exchange, WSUS, SCCM, AD CS, and SQL ServerDisappear from the defender's eyesight by tampering with defensive capabilitiesUpskill yourself in offensive OpSec to stay under the radarFind out how to detect adversary activities in your Windows environmentGet to grips with the steps needed to remediate misconfigurationsPrepare yourself for real-life scenarios by getting hands-on experience with exercisesWho this book is forThis book is for pentesters and red teamers, security and IT engineers, as well as blue teamers and incident responders interested in Windows infrastructure security. The book is packed with practical examples, tooling, and attack-defense guidelines to help you assess and improve the security of your real-life environments. To get the most out of this book, you should have basic knowledge of Windows services and Active Directory.Table of ContentsGetting the Lab Ready and Attacking Exchange ServerDefense EvasionDomain Reconnaissance and Discovery Credential Access in DomainLateral Movement in Domain and Across ForestsDomain Privilege EscalationPersistence on Domain LevelAbusing Active Directory Certificate ServicesCompromising Microsoft SQL ServerTaking over WSUS and SCCM
Get started with creating intuitive native user interfaces on Android platforms using Kotlin and Jetpack Compose with the help of this illustrated guideKey FeaturesDistinguish between the imperative (Android View) and declarative (Jetpack Compose) approachExplore the Compose app structure, UI elements, and core concepts like state and composition over inheritanceEnhance apps with animations, transitions and build for smartphones, tablets, and foldable devicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionCompose has caused a paradigm shift in Android development, introducing a variety of new concepts that are essential to an Android developer's learning journey. It solves a lot of pain points associated with Android development and is touted to become the default way to building Android apps over the next few years. This second edition has been thoroughly updated to reflect all changes and additions that were made by Google since the initial stable release, and all examples are based on Material 3 (also called Material You).This book uses practical examples to help you understand the fundamental concepts of Jetpack Compose and how to use them when you are building your own Android applications. You'll begin by getting an in-depth explanation of the declarative approach, along with its differences from and advantages over traditional user interface (UI) frameworks. Having laid this foundation, the next set of chapters take a practical approach to show you how to write your first composable function. The chapters will also help you master layouts, an important core component of every UI framework, and then move to more advanced topics such as animation, testing, and architectural best practices.By the end of this book, you'll be able to write your own Android apps using Jetpack Compose and Material Design.What you will learnRecognize the motivation behind Jetpack ComposeGain an understanding of the core concepts of Jetpack ComposeBuild a complete app using Jetpack ComposeUtilize Jetpack Compose inside existing Android applicationsTest and debug apps that use Jetpack ComposeUnderstand Material Design and how it is implemented using Jetpack ComposeWrite apps for different form factorsBring your Compose UI to other platformsWho this book is forIf you're an Android developer with existing knowledge of the Kotlin programming language looking to learn how to build modern Android user interfaces using Jetpack Compose, then this book is for you. This book is not an introduction to Android development. You must have a basic understanding of how Android apps are developed using Android Studio.Table of ContentsBuilding Your First Compose AppUnderstanding the Declarative ParadigmExploring the Key Principles of ComposeLaying Out UI Elements in ComposeManaging State of Your Composable FunctionsBuilding a Real-World AppExploring App ArchitectureWorking with AnimationsExploring Interoperability APIsTesting and Debugging Compose AppsDeveloping for Different Form FactorsBringing Your Compose UI to Different Platforms
Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize dataKey FeaturesAcquire the skills necessary to perform analytics operations like an expertDiscover hidden trends and insights in your data from various sources to make accurate predictionsReduce the time and effort required to derive insights from your dataPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionAlteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations.This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you'll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you'll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios.By the end of this book, you'll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficiently.What you will learnSpeed up the cleansing, data preparing, and shaping processPerform operations and transformations on the data to suit your needsBlend different types of data sources for analysisPivot and un-pivot the data for easy manipulationPerform aggregations and calculations on the dataEncapsulate reusable logic into macrosDevelop high-quality, data-driven reports to improve consistencyWho this book is forThis book is for data analysts, data professionals, and business intelligence professionals seeking to harness the full potential of the tool. A basic understanding of Alteryx Designer and Alteryx terminology, including macros, apps, and workflows, is all you need to get started with this book.Table of ContentsInput data from filesWorking with databasesData Preparation Data Transformations Data Parsing Grouping DataBlending and Merging dataAggregationsDynamic Operations/ ToolsMacros and AppsDownloads, APIs & Web ServicesDeveloper optionsReporting with AlteryxOutputting Data
Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employersKey FeaturesDevelop your own brand, projects, and portfolio with expert help to stand out in the interview roundGet a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modelingPractice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical roundsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you'll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you'll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.What you will learnCreate maintainable and scalable code for unit testingUnderstand the fundamental concepts of core data engineering tasksPrepare with over 100 behavioral and technical interview questionsDiscover data engineer archetypes and how they can help you prepare for the interviewApply the essential concepts of Python and SQL in data engineeringBuild your personal brand to noticeably stand out as a candidateWho this book is forIf you're an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite.Table of ContentsThe Roles and Responsibilities of a Data EngineerMust-Have Data Engineering Portfolio ProjectsBuilding Your Data Engineering Brand on LinkedInPreparing for Behavioral InterviewsEssential Python for Data EngineersUnit TestingDatabase FundamentalsEssential SQL for Data EngineersDatabase Design and OptimizationData Processing and ETLData Pipeline Design for Data EngineersData Warehouses and Data LakesEssential Tools You Should Know AboutContinuous Integration/Continuous Development for Data EngineersData Security and PrivacyAdditional Interview Questions
This new edition will help you learn PostgreSQL from scratch with the latest version, providing a complete focused view on aspects like configuration, high performance, partitioning, backup, server-side programming and replication.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Learn the fundamentals of PostgreSQL 16, including SQL statements, replication, and securityEnhance your learning journey with the provided Docker images for practical hands-on exercises and tests at the end of each chapterGet new and improved examples, use-cases, and scenarios specifically for concepts like partitioning, replication, back-up and restore, cluster configuration, monitoring and othersBook Description:The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance.This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals.By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database. What You Will Learn:Gain a deeper understanding of PostgreSQL internals like transactions, MVCC, security and replicationEnhance data management with PostgreSQL's latest partitioning featuresChoose the right replication strategy for your databaseSee concrete examples of how to migrate data from another database, perform backups and restores, monitor your PostgreSQL installation and moreEnsure security and compliance with schemas and user privilegesCreate customized database functions and extensionsGet to grips with server-side programming, window functions, and triggersWho this book is for:Learning PostgresSQL 16 book is for anyone interested in learning about the PostgreSQL database from scratch. Anyone looking to build robust data warehousing applications and scale the database for high-availability and performance using the latest features of PostgreSQL will also find this book useful. Although prior knowledge of PostgreSQL is not required, familiarity with databases is expected.
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