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Java 17 for Absolute Beginners: Learn the Fundamentals of Java Programming
by Iuliana CosminaWrite your first code in Java 17 using simple, step-by-step examples that model real-word objects and events, making learning easy. With Java 17 for Absolute Beginners you’ll be able to pick up the concepts without fuss. It teaches Java development in language anyone can understand, giving you the best possible start. You’ll see clear code descriptions and layout so that you can get your code running as soon as possible. Author Iuliana Cosmina focuses on practical knowledge and getting you up to speed quickly—all the bits and pieces a novice needs to get started programming in Java. First, you’ll discover what type of language Java is, what it is good for, and how it is executed. With the theory out of the way, you’ll install Java, choose an editor such as IntelliJ IDEA, and write your first simple Java program. Along the way you’ll compile and execute this program so it can run on any platform that supports Java. As part of this tutorial you’ll see how to write high-quality code by following conventions and respecting well-known programming principles, making your projects more professional and efficient. Java 17 for Absolute Beginners gives you all you need to start your Java programming journey. No experience necessary. After reading this book, you'll come away with the basics to get started writing programs in Java. What You Will Learn Get started with Java 17 from scratch Use data types, operators, and the stream API Install and use the IntelliJ IDEA and the Gradle build tool Exchange data using the new JSON APIs Play with images using multi-resolution APIs Implement the publish-subscribe architecture Who This Book Is For Those who are new to programming and who want to start with Java.
Multi-Site Network and Security Services with NSX-T: Implement Network Security, Stateful Services, and Operations
by Iwan HoogendoornKnow the basics of network security services and other stateful services such as NAT, gateway and distributed firewalls (L2-L7), virtual private networks (VPN), load balancing (LB), and IP address management. This book covers these network and security services and how NSX-T also offers integration and interoperability with various other products that are not only created by VMware, but are also referred by VMware as third-party integrated vendors.With the integration of VMware vRealize Automation, you can automate full application platforms consisting of multiple virtual machines with network and security services orchestrated and fully automated.From the operational perspective, this book provides best practices on how to configure logging, notification, and monitoring features and teaches you how to get the required visibility of not only your NSX-T platform but also your NSX-T-enabled network infrastructure.Another key part of this book is the explanation of multi-site capabilities and how network and security services can be offered across multiple on-premises locations with a single management pane. Interface with public cloud services also is included. The current position of NSX-T operation in on-premises private clouds and the position and integration with off-premises public clouds are covered as well.This book provides a good understanding of integrations with other software to bring the best out of NSX-T and offer even more features and capabilities.What You Will LearnUnderstand the NSX-T security firewall and advanced securityBecome familiar with NAT, DNS, DHCP, and load balancing featuresMonitor your NSX-T environmentBe aware of NSX-T authentication and authorization possibilitiesUnderstand integration with cloud automation platformsKnow what multi-cloud integrations are possible and how to integrate NSX-T with the public cloud Who This Book Is ForVirtualization administrators, system integrators
AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data
by AnshikLearn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-populations using a multi-task setup when you are working on any downstream task. You also will try to predict ICD-9 codes using the same data. You will study transformer models. And you will be exposed to the challenges of applying modern ML techniques to highly sensitive data in healthcare using federated learning. You will look at semi-supervised approaches that are used in a low training data setting, a case very often observed in specialized domains such as healthcare. You will be introduced to applications of advanced topics such as the graph convolutional network and how you can develop and optimize image analysis pipelines when using 2D and 3D medical images. The concluding section shows you how to build and design a closed-domain Q&A system with paraphrasing, re-ranking, and strong QnA setup. And, lastly, after discussing how web and server technologies have come to make scaling and deploying easy, an ML app is deployed for the world to see with Docker using Flask.By the end of this book, you will have a clear understanding of how the healthcare system works and how to apply ML and deep learning tools and techniques to the healthcare industry.What You Will LearnGet complete, clear, and comprehensive coverage of algorithms and techniques related to case studies Look at different problem areas within the healthcare industry and solve them in a code-first approachExplore and understand advanced topics such as multi-task learning, transformers, and graph convolutional networksUnderstand the industry and learn ML Who This Book Is ForData scientists and software developers interested in machine learning and its application in the healthcare industry
Data Modeling with SAP BW/4HANA 2.0: Implementing Agile Data Models Using Modern Modeling Concepts
by Konrad ZaleskiGain practical guidance for implementing data models on the SAP BW/4HANA platform using modern modeling concepts. You will walk through the various modeling scenarios such as exposing HANA tables and views through BW/4HANA, creating virtual and hybrid data models, and integrating SAP and non-SAP data into a single data model. Data Modeling with SAP BW/4HANA 2.0 gives you the skills you need to use the new SAP BW/HANA features and objects, covers modern modelling concepts, and equips you with the practical knowledge of how to use the best of the HANA and BW/4HANA worlds. What You Will Learn Discover the new modeling features in SAP BW/4HANA Combine SAP HANA and SAP BW/4HANA artifacts Leverage virtualization when designing and building data models Build hybrid data models combining InfoObject, OpenODS, and a field-based approach Integrate SAP and non-SAP data into single model Who This Book Is For BI consultants, architects, developers, and analysts working in the SAP BW/4HANA environment.
Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes
by Micheal LanhamThe emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality. In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new.What You Will LearnKnow the fundamentals of content generation from autoencoders to generative adversarial networks (GANs)Explore variations of GANUnderstand the basics of other forms of content generationUse advanced projects such as Faceswap, deepfakes, DeOldify, and StyleGAN2Who This Book Is ForMachine learning developers and AI enthusiasts who want to understand AI content generation techniques
Extending Kubernetes: Elevate Kubernetes with Extension Patterns, Operators, and Plugins
by Onur YilmazRely on this comprehensive guide to understand the extension patterns and discover the extension plugins for Kubernetes.In this book, state-of-the-art extension patterns and extension points of Kubernetes are covered in depth with real-life use cases and examples. There are comprehensive discussions in the text on all possible aspects of Kubernetes, starting from end-user to the fully-automated controller development. The book focuses on creating applications that work on Kubernetes and also interact and operate Kubernetes itself.The book starts with a recap of Kubernetes, its rich configuration options, extension patterns, and points. The journey of extending Kubernetes starts with the CLI tool plugins. By the end of this section, you will be able to create and manage kubectl plugins. Then, the API access plugins with authentication and authorization webhooks are presented. In this section, you will learn how to extend and interfere with the API flow of Kubernetes. You then move on to learn how to extend Kubernetes API with new resources and controllers. You will make Kubernetes API work for you by creating a Kubernetes operator. Extensions for Kubernetes schedulers are covered to create a custom scheduler and run it side-by-side with the default scheduler. Finally, the last extension points will be discussed for the infrastructure, such as networking or storage. At the end of the text, you will learn the upcoming extension points. This book is designed to cover all the extension points of Kubernetes with state-of-the-art implementations. This book is intended for those who wish to understand Kubernetes in depth and go further by making Kubernetes work for their custom requirements. By the end of this book, readers with a cloud-native mindset will broaden their vision to create future-proof applications. Rather than focus on overwhelming theoretical information and YAML files for Kubernetes resources, readers are provided with the philosophy behind Kubernetes extensions. With real-life examples and hands-on development steps, you will be more confident in working with Kubernetes.What You Will LearnKnow the Kubernetes extension patterns and available extension points Be familiar with the philosophy behind Kubernetes extensions and how they should be integrated into the clustersDesign Kubernetes extensions and make Kubernetes work for youDevelop, deploy, and operate plugins for Kubernetes ranging from the CLI tool to custom resources, schedulers, infrastructure, and more Study real-life use cases for extending Kubernetes with code examplesWho This Book Is ForSoftware engineers, developers, DevOps engineers, cloud security analysts, architects, and managers who have Kubernetes in their short- and long-term plans
Quantum Machine Learning: The Theory and Application of Quantum Machine Learning in Science and Industry
by Santanu GangulyKnow how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost.Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms.The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author’s active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples.What You will Learn Understand and explore quantum computing and quantum machine learning, and their application in science and industry Explore various data training models utilizing quantum machine learning algorithms and Python libraries Get hands-on and familiar with applied quantum computing, including freely available cloud-based access Be familiar with techniques for training and scaling quantum neural networks Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive Who This Book Is ForData scientists, machine learning professionals, and researchers
Smart Mobility: Exploring Foundational Technologies and Wider Impacts
by Alaa KhamisEach year we witness several paradigm shifts in mobility systems and services, increasingly so as technology progresses. The future of mobility is people-centric, software-defined, connected, and electric. Now more than ever, it is imperative for current and aspiring leaders in the field to understand the foundations of people-centric smart cities with a focus on sustainability. Smart Mobility offers a holistic view of the current and emerging smart mobility systems and explores their foundational technologies, technology enablers, and disruptors. Author Alaa Khamis acknowledges the need for smart mobility arising with growing world urbanization, and the impact of this on public health, congestion, and climate change. Khamis expertly interrogates how a focus on smart mobility can mitigate all of these risks using his triad of complementary factors: technology, governance, and city planning. In this book you’ll study how foundational technologies such as artificial intelligence, blockchain, the Internet of Things, robotics, and many more all work together to allow for smart mobility in our modern era. Khamis additionally covers the topical events of the COVID-19 pandemic and analyzes its impact on consumer behavior and the expected short-term disruptions and longer-term structural changes. The socioeconomic changes in our urban centers are vast, and Smart Mobility breaks down the core concepts with meaningful data and insights.What You Will LearnExplore different mobility modes, including mobility-as-a-service, shared mobility, mobility on demand, the gig economy and the passenger economyCover how the smart mobility triad - technology, governance, and city planning - work together to create a smart and sustainable mobilitySee how the COVID-19 pandemic is impacting consumer behavior and preferences and changing the future of mobilityWho This Book Is ForWorking professionals, students, researchers, technologists, city planners, and the curious layman.
Beginning Windows Mixed Reality Programming: For HoloLens and Mixed Reality Headsets
by Sean Ong Varun Kumar SiddarajuDevelop applications and experiences for Microsoft’s HoloLens 2 and other Windows mixed reality devices. This easy-to-follow guide removes the mystery behind creating amazing augmented reality and virtual reality experiences. Mixed reality development tools and resources are provided.Beginning Windows Mixed Reality Programming, 2nd edition clearly explains all the nuances of mixed reality software development. You will learn how to create 3D objects and holograms, interact with holograms using voice commands and hand gestures, use spatial mapping and 3D spatial sound, build with toolkits such as Microsoft's Mixed Reality Toolkit and Unity’s AR Foundation and XR Platform, create intuitive user interfaces, and make truly awe-inspiring mixed reality experiences. This newly revised edition also includes updated content for HoloLens 2 development, including tutorials for new interactions such as hand tracking and eye tracking.What You Will LearnPrototype ideas quickly for the HoloLens 2 and Windows mixed reality devicesGet started with Unity, the preferred tool for developing 3D experiencesLocate and import 3D models for your project, or make your ownUse spatial sound, voice commands, gestures, hand tracking, and eye trackingBuild with Microsoft's Mixed Reality Toolkit and other toolkits to make apps the easy wayPublish to the Windows Store and make money from your appWho This Book Is ForProgrammers looking to quickly learn how to create experiences for HoloLens 2. Also for programmers interested in building applications for the growing crop of virtual reality devices that support the Windows Mixed Reality platform.
Essential Computer Science: A Programmer’s Guide to Foundational Concepts
by Paul D. Crutcher Neeraj Kumar Singh Peter TiegsUnderstand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more.According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs. To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to become an efficient computer engineer or advanced developer. What You Will Learn The fundamentals of how a computer worksThe basics of computer programming and programming paradigmsHow to write efficient programsHow the hardware and software work together to provide a good user experience and enhance the usability of the systemHow computers can talk to each otherHow to ensure the security of the systemThe fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurationsThe fundamentals of machine learningWho This Book Is For Computer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals
Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
by Tshepo Chris NokeriBring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures.The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios.By the end of this book, you should be able to explain how algorithmic trading works and its practical application in the real world, and know how to apply supervised and unsupervised ML and DL models to bolster investment decision making and implement and optimize investment strategies and systems.What You Will LearnUnderstand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio managementKnow the concepts of feature engineering, data visualization, and hyperparameter optimizationDesign, build, and test supervised and unsupervised ML and DL modelsDiscover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and pricesStructure and optimize an investment portfolio with preeminent asset classes and measure the underlying riskWho This Book Is ForBeginning and intermediate data scientists, machine learning engineers, business executives, and finance professionals (such as investment analysts and traders)
Multi-Platform Graphics Programming with Kivy: Basic Analytical Programming for 2D, 3D, and Stereoscopic Design
by Moisés Cywiak David CywiakModern science requires computer graphics models to provide realistic visual renderings. Learning the appropriate programming tools for 2D and 3D modeling doesn’t have to be so difficult. This book reviews the best programming tools to achieve this and explains how to apply them to mobile platforms like Android. Multi-Platform Graphics Programming with Kivy provides a straightforward introductory approach for designing 2D, 3D, and stereoscopic applications, using analytical equations from vector algebra. Throughout the book you’ll look closely at this approach and develop scenes in Kivy, taking advantage of powerful mathematical functions for arrays by NumPy for Python. Unbuntu is used to develop the programs, which allows you to easily convert to Android platform. Each chapter contains step-by-step descriptions on each subject and provides complete program listings.What You’ll LearnWork with Kivy, a modern, powerful multi-platform graphics systemConvert and run programs on Android devicesProgram, fill faces, and rotate 2D and 3D polygonsApply the concepts of 2D and 3D applicationsDevelop stereoscopic scenesReview a straightforward introduction to 2D, 3D, and stereoscopic graphics applicationsUse simple analytical equations from vector algebraWho This Book Is ForThe primary audience is students and researchers in graphics programming with experience in analytical equations.
Demystifying the Azure Well-Architected Framework: Guiding Principles and Design Best Practices for Azure Workloads
by Shijimol Ambi KarthikeyanUse the Azure well-architected framework to deploy your workloads in Azure and align them with Microsoft recommended best practices. This book takes a deep dive into the five architecture elements (cost optimization, performance efficiency, operational excellence, reliability, and security) and provides practical guidance on incorporating them into your architecture.The book starts with an introduction to the relevance of the well-architectured framework and why it should form the baseline of your design decisions when deploying applications in Azure. You will learn how customers can optimize the cost of deployment in Azure and understand all aspects of implementation. The book takes you through the practices and processes to be followed to run applications smoothly and you will understand the end-to-end process of design, deployment, and monitoring. You will go through paradigms for designing environments to meet different performance demands. The book covers how to build resilient and highly available applications in Azure with a sample configuration for monitoring. And you will learn how to enable security to ensure confidentiality and integrity of workloads in Azure.After reading this book, you will know the practical nuances of designing high-performing applications in the Microsoft cloud. What You Will LearnUnderstand the five pillars of the well-architected frameworkUse tools and services to optimize costDesign for performance efficiencyDeal with threat vectors in the cloudWho This Book Is ForSolution architects and cloud teams in Azure
Hands-on Azure Functions with C#: Build Function as a Service (FaaS) Solutions
by Ashirwad Satapathi Abhishek MishraBuild serverless solutions using Azure Functions. This book provides you with a deep understanding of Azure Functions so you can build highly scalable and reliable serverless applications.The book starts with an introduction to Azure Functions and demonstrates triggers and bindings with use cases. The process to build an OTP mailer with Queue Storage Trigger and SendGrid output binding is presented, and timer triggers and blob storage binding are covered. Creating custom binding for Azure Functions and building a serverless API using Azure Functions and Azure SQL are discussed. You will know how to build a serverless API using Azure Functions and Azure Cosmos DB, and you will go over enabling application insights and Azure Monitor. Storing function secrets in Azure Key Vault is discussed as well as authentication and authorization using Azure Active Directory. You will learn how to secure your serverless apps using API Management and deploy your Azure Functions using IDEs.Deploying your Azure Functions using CI/CD pipelines is demonstrated along with running Azure Functions in containers. You will learn how to leverage Azure Cognitive Services to build intelligent serverless apps. And the authors introduce you to Azure Durable functions and teach you how to integrate Azure Functions in the logic app workflow. They also discuss best practices and pitfalls to avoid while designing Azure Functions.After reading this book, you will be able to design and deploy Azure Functions and implement solutions to real-world business problems through serverless applications. What Will You LearnMonitor and secure Azure FunctionsBuild and deploy Azure FunctionsEnable continuous integration/continuous deployment (CI/CD) DevOps strategies for Azure FunctionsRun Azure Functions on Azure Kubernetes Cluster Who This Book Is ForExperienced developers, cloud architects, and tech enthusiasts in Azure
Advanced Excel Formulas: Unleashing Brilliance with Excel Formulas
by Alan MurrayEnhance and upgrade your Excel knowledge with this comprehensive guide to formulas in Excel. Over 150 of the most useful Excel functions are covered with numerous practical examples of their use. This book is fully updated and includes examples of the most recently released functions in 2022. It is written in a manner that you can read it cover-to-cover or pick it up and learn something new in just 5 minutes.The book begins with a primer on Excel formulas and functions. Starting from a basic level, but diving into intricate detail and building a solid understanding of the fundamentals. It may not always be sexy, but learning why, in addition to how, is important to truly understanding Excel formulas. Having strong fundamentals is the most advanced skill.The book covers all the most popular functions in Excel including VLOOKUP, SUMPRODUCT, COUNTIFS, MATCH, SORT and so much more. You will learn how to return multiple results with a single formula. Harness the power of the dynamic array engine and functions such as SEQUENCE, SORTBY, UNIQUE, XLOOKUP and FILTER to create top N Lists, models and reports that would seem impossible without array formulas. In the final chapter, we discover the amazing LAMBDA function in Excel. Create your own Excel functions to simplify future Excel formulas and share them with others. In this book, the formulas are not only written to return values to the grid, but also for use with other Excel features such as charts and Conditional Formatting, to take them to another level. Practice files are provided to follow all examples shown in the book.What Will You Learn Gain intimate knowledge of Excel formulas Understand efficient and practical use of Defined Names and TablesMaster the most popular functions of Excel – VLOOKUP, COUNTIFS, MATCH, SUMPRODUCT, and so much moreLearn to return multiple results from a single formula with the magical array formulas. Know the best lookup functions for dynamic spreadsheetsKnow true power of classic Excel functions such as IF, SUM, and INDEXUse new Excel functions including XLOOKUP, VSTACK, LET, and LAMBDA Who Is This Book ForExcel users who are familiar with formulas but want to improve their current skill level
Infrastructure-as-Code Automation Using Terraform, Packer, Vault, Nomad and Consul: Hands-on Deployment, Configuration, and Best Practices
by Navin Sabharwal Sarvesh Pandey Piyush PandeyDiscover the methodologies and best practices for getting started with HashiCorp tools, including Terraform, Vault, and Packer. The book begins with an introduction to the infrastructure-as-code concept while establishing the need for automation and management technologies. You’ll go over hands-on deployment, configuration, and best practices for Terraform, Packer, Vault, Nomad, and Consul. You’ll then delve deeper into developing automation code using Terraform for automating AWS/Azure/GCP public cloud tasks; advanced topics include leveraging Vault for secrets management and Packer for image management. Along the way you will also look at Nomad and Consul for managing application orchestration along with network interconnectivity. In each chapter you will cover automated infrastructure and application deployment on the VM/container base ecosystem. The book provides sample code and best-practice guidance for developers and architects to look at infrastructure-as-code adoption from a holistic viewpoint. All the code presented in the book is available in the form of scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Get an overview of the architecture of Terraform, Vault, Packer, Nomad, and ConsulFollow hands-on steps for enabling Terraform, Vault, Packer, Nomad, and ConsulAutomate various services on the public cloud, including AWS, Azure, and GCP Who This Book Is For Developers, architects, and administrators who want to learn about infrastructure-as-code automation.
Cloud Defense Strategies with Azure Sentinel: Hands-on Threat Hunting in Cloud Logs and Services
by Marshall CopelandUse various defense strategies with Azure Sentinel to enhance your cloud security. This book will help you get hands-on experience, including threat hunting inside Azure cloud logs and metrics from services such as Azure Platform, Azure Active Directory, Azure Monitor, Azure Security Center, and others such as Azure Defender's many security layers.This book is divided into three parts. Part I helps you gain a clear understanding of Azure Sentinel and its features along with Azure Security Services, including Azure Monitor, Azure Security Center, and Azure Defender. Part II covers integration with third-party security appliances and you learn configuration support, including AWS. You will go through multi-Azure Tenant deployment best practices and its challenges. In Part III you learn how to improve cyber security threat hunting skills while increasing your ability to defend against attacks, stop data loss, prevent business disruption, and expose hidden malware. You will get an overview of the MITRE Attack Matrix and its usage, followed by Azure Sentinel operations and how to continue Azure Sentinel skill improvement.After reading this book, you will be able to protect Azure resources from cyberattacks and support XDR (Extend, Detect, Respond), an industry threat strategy through Azure Sentinel. What You Will LearnUnderstand Azure Sentinel technical benefits and functionalityConfigure to support incident responseIntegrate with Azure Security standardsBe aware of challenges and costs for the Azure log analytics workspaceWho This Book Is ForSecurity consultants, solution architects, cloud security architects, and IT security engineers
More Java 17: An In-Depth Exploration of the Java Language and Its Features
by Kishori Sharan Peter SpäthWork with the essential and advanced features of the Java 17 release. This book covers features such as annotations, reflection, and generics. These topics are then complemented by details of how to use lambda expressions, allowing you to build powerful and efficient Java programs. Furthermore, added to this edition you'll find topics on network programming, Java RMI, the process API, and custom runtime images. The authors provide a multitude of diagrams and complete programs to help you visualize and better understand the topics covered in this book. More Java 17, Third Edition starts with a series of chapters on the essential language features provided by Java before moving on to Java module development and packaging, and improved interop with other languages. After reading this book, you'll have the know-how of a professional Java programmer and be able to tackle most projects with confidence.This book's source code can be accessed at github.com/Apress/more-java-17. What You Will Learn Use essential and advanced features of the Java languageCode Java annotationsWork with reflection and generics Manage streams with the Stream API Who This Book Is For Those new to Java programming who are continuing the Java learning journey; it is recommended that you read an introductory Java programming book first, such as Java 17 for Absolute Beginners, from Apress.
MERN Projects for Beginners: Create Five Social Web Apps Using MongoDB, Express.js, React, and Node
by Nabendu BiswasLearn how to use the MERN stack (MongoDB, Express.js, React, and Node) to build five fully functioning web apps for dating, video sharing, messaging, and social media. While creating these web apps, you’ll learn key development concepts including how to use React hooks, Redux, MongoDB, Express, Heroku, Firebase, Material UI, and Google authentication. By expanding your portfolio with the projects you create, you will be well equipped as front-end developer. You will first create a dating site with a swiping feature and chat functionality. You will then build a video sharing app with videos displaying vertically. Next, you will learn to build an awesome messaging web app. Users will be able to chat in real time, as well as log in to their account using Google authentication. You will also create a photo sharing app and social media web apps with the ability to post images with captions and log in using email and password authentication. Most MERN tutorials out there today cover basic web apps but it is capable of so much more – learn how to use this stack to its full potential and build projects that can be converted into full scaled start-ups with additional features. What You'll LearnWork with React hooks and React routerExamine powerful MongoDB services for easy to use and setupCreate routes using Node and host on HerokuStudy different authentication techniquesDeploy all sites using simple Firebase hostingUse the powerful React ecosystem to add functionalities to your apps Who This book Is For Those who have just started their career in web development and have basic knowledge of the core web technologies: HTML, CSS, and JavaScript. Those with basic React development and feel ready to explore its capabilities further.
PHP 8 Solutions: Dynamic Web Design and Development Made Easy
by David PowersMake your websites more dynamic by adding a feedback form, creating a private area where members can upload images that are automatically resized, or storing all your content in a database. David Powers has updated his definitive book to incorporate the latest techniques and changes to PHP with the arrival of PHP 8. New features include named attributes, constructor property promotion, the stricter and more concise match expression, union types, and more. The problem is, you're not a programmer and the thought of writing code sends a chill up your spine. Or maybe you've dabbled a bit in PHP and MySQL, but you can't get past baby steps. If this describes you, then you've just found the right book. PHP powers four out of every five websites that use a server-side language. In combination with the MySQL database it’s ideal for creating dynamic websites. PHP and MySQL are free, easy to use, and provided by many web hosting companies in their standard packages. This book also covers MariaDB, a seamless replacement for MySQL that has been adopted on many web servers. Unfortunately, most PHP books either expect you to be an expert already or force you to go through endless exercises of little practical value. In contrast, this book gives you real value right away through a series of practical examples that you can incorporate directly into your sites, optimizing performance and adding functionality such as file uploading, email feedback forms, image galleries, content management systems, and much more. Each solution is created with not only functionality in mind, but also visual design. But this book doesn't just provide a collection of ready-made scripts: each PHP solution builds on what's gone before, teaching you the basics of PHP and database design quickly and painlessly. You’ll learn how to optimize your code using object-oriented programming (OOP) techniques. By the end of the book, you'll have the confidence to start writing your own scripts or—if you prefer to leave that task to others—to adapt existing scripts to your own requirements. Right from the start, you're shown how easy it is to protect your sites by adopting secure coding practices. What You Will Learn Design and build dynamic PHP-based web sites and applications Get started right away through practical examples that you can reuseIncorporate PHP 8 elements including named attributes, constructor property promotion, and union typesUnderstand the subtle, but important differences between switch and matchWork with the latest PHP 8 techniques, innovations, and best practices Who This Book Is For Readers should ideally have some prior exposure to web development using PHP.
Decoupled Django: Understand and Build Decoupled Django Architectures for JavaScript Front-ends
by Valentino GagliardiApply decoupling patterns, properly test a decoupled project, and integrate a Django API with React, and Vue.js. This book covers decoupled architectures in Django, with Django REST framework and GraphQL. With practical and simple examples, you’ll see firsthand how, why, and when to decouple a Django project. Starting with an introduction to decoupled architectures versus monoliths, with a strong focus on the modern JavaScript scene, you’ll implement REST and GraphQL APIs with Django, add authentication to a decoupled project, and test the backend. You’ll then review functional testing for JavaScript frontends with Cypress. You will also learn how to integrate GraphQL in a Django project, with a focus on the benefits and drawbacks of this new query language. By the end of this book, you will be able to discern and apply all the different decoupling strategies to any Django project, regardless of its size.What You'll Learn Choose the right approach for decoupling a Django projectBuild REST APIs with Django and a Django REST frameworkIntegrate Vue.js and GraphQL in a Django projectConsume a Django REST API with Next.jsTest decoupled Django projects Who This Book Is ForSoftware developers with basic Django skills keen to learn decoupled architectures with Django. JavaScript developers interested in learning full-stack development and decoupled architectures with Django.
C# Programming for Absolute Beginners: Learn to Think Like a Programmer and Start Writing Code
by Radek VystavělGet started using the C# programming language. Based on the author’s 15 years of experience teaching beginners, this book provides you with a step-by-step introduction to the principles of programming, or rather, how to think like a programmer. The task-solution approach will get you immersed, with minimum theory and maximum action.What You Will LearnUnderstand what programming is all aboutWrite simple, but non-trivial, programsBecome familiar with basic programming constructs such as statements, types, variables, conditions, and loopsThink like a programmer and combine these programming constructs in new waysGet to know C# as a modern, mainstream programming language, and Visual Studio as one of the world’s most popular programming toolsWho This Book Is ForThose with very little or no experience in computer programming, who know how to use a computer, install a program, and navigate the web
Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
by Joos KorstanjeCover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model. Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It concludes with reflections on model selection such as benchmark scores vs. understandability of models vs. compute time, and automated retraining and updating of models. Each of the models presented in this book is covered in depth, with an intuitive simple explanation of the model, a mathematical transcription of the idea, and Python code that applies the model to an example data set. Reading this book will add a competitive edge to your current forecasting skillset. The book is also adapted to those who have recently started working on forecasting tasks and are looking for an exhaustive book that allows them to start with traditional models and gradually move into more and more advanced models. What You Will Learn Carry out forecasting with Python Mathematically and intuitively understand traditional forecasting models and state-of-the-art machine learning techniques Gain the basics of forecasting and machine learning, including evaluation of models, cross-validation, and back testing Select the right model for the right use case Who This Book Is For The advanced nature of the later chapters makes the book relevant for applied experts working in the domain of forecasting, as the models covered have been published only recently. Experts working in the domain will want to update their skills as traditional models are regularly being outperformed by newer models.
How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More
by Noah GiansiracusaFrom deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what’s real and what’s not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what’s at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias – which gets amplified in harmful data feedback loops. Don’t be afraid: with this book you’ll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope.What You Will LearnThe ways that data labeling and storage impact machine learning and how feedback loops can occurThe history and inner-workings of YouTube’s recommendation algorithmThe state-of-the-art capabilities of AI-powered text generation (GPT-3) and video synthesis/doctoring (deepfakes) and how these technologies have been used so farThe algorithmic tools available to help with automated fact-checking and truth-detectionWho This Book is ForPeople who don’t have a technical background (in data, computers, etc.) but who would like to learn how algorithms impact society; business leaders who want to know the powers and perils of relying on artificial intelligence. A secondary audience is people with a technical background who want to explore the larger social and societal impact of their work.
Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
by Pradeepta MishraLearn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.You'll begin with an introduction to model explainability and interpretability basics, ethical consideration, and biases in predictions generated by AI models. Next, you'll look at methods and systems to interpret linear, non-linear, and time-series models used in AI. The book will also cover topics ranging from interpreting to understanding how an AI algorithm makes a decisionFurther, you will learn the most complex ensemble models, explainability, and interpretability using frameworks such as Lime, SHAP, Skater, ELI5, etc. Moving forward, you will be introduced to model explainability for unstructured data, classification problems, and natural language processing–related tasks. Additionally, the book looks at counterfactual explanations for AI models. Practical Explainable AI Using Python shines the light on deep learning models, rule-based expert systems, and computer vision tasks using various XAI frameworks.What You'll LearnReview the different ways of making an AI model interpretable and explainableExamine the biasness and good ethical practices of AI modelsQuantify, visualize, and estimate reliability of AI modelsDesign frameworks to unbox the black-box modelsAssess the fairness of AI modelsUnderstand the building blocks of trust in AI modelsIncrease the level of AI adoptionWho This Book Is ForAI engineers, data scientists, and software developers involved in driving AI projects/ AI products.