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Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS
by Subhashini Tripuraneni Charles SongPerform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key Features Explore popular machine learning and deep learning services with their underlying algorithms Discover readily available artificial intelligence(AI) APIs on AWS like Vision and Language Services Design robust architectures to enable experimentation, extensibility, and maintainability of AI apps Book Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you'll work through hands-on exercises and learn to use these services to solve real-world problems. You'll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You'll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you'll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you'll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learn Gain useful insights into different machine and deep learning models Build and deploy robust deep learning systems to production Train machine and deep learning models with diverse infrastructure specifications Scale AI apps without dealing with the complexity of managing the underlying infrastructure Monitor and Manage AI experiments efficiently Create AI apps using AWS pre-trained AI services Who this book is for This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.
Hands-On Artificial Intelligence on Google Cloud Platform: Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow
by Anand Deshpande Manish Kumar Vikram ChaudhariDevelop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services Key Features Focus on AI model development and deployment in GCP without worrying about infrastructure Manage feature processing, data storage, and trained models using Google Cloud Dataflow Access key frameworks such as TensorFlow and Cloud AutoML to run your deep learning models Book Description With a wide range of exciting tools and libraries such as Google BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc, Google Cloud Platform (GCP) enables efficient big data processing and the development of smart AI models on the cloud. This GCP book will guide you in using these tools to build your AI-powered applications with ease and managing thousands of AI implementations on the cloud to help save you time. Starting with a brief overview of Cloud AI and GCP features, you'll learn how to deal with large volumes of data using auto-scaling features. You'll then implement Cloud AutoML to demonstrate the use of streaming components for performing data analytics and understand how Dialogflow can be used to create a conversational interface. As you advance, you'll be able to scale out and speed up AI and predictive applications using TensorFlow. You'll also leverage GCP to train and optimize deep learning models, run machine learning algorithms, and perform complex GPU computations using TPUs. Finally, you'll build and deploy AI applications to production with the help of an end-to-end use case. By the end of this book, you'll have learned how to design and run experiments and be able to discover innovative solutions without worrying about infrastructure, resources, and computing power. What you will learn Understand the basics of cloud computing and explore GCP components Work with the data ingestion and preprocessing techniques in GCP for machine learning Implement machine learning algorithms with Google Cloud AutoML Optimize TensorFlow machine learning with Google Cloud TPUs Get to grips with operationalizing AI on GCP Build an end-to-end machine learning pipeline using Cloud Storage, Cloud Dataflow, and Cloud Datalab Build models from petabytes of structured and semi-structured data using BigQuery ML Who this book is for If you're an artificial intelligence developer, data scientist, machine learning engineer, or deep learning engineer looking to build and deploy smart applications on Google Cloud Platform, you'll find this book useful. A fundamental understanding of basic data processing and machine learning concepts is necessary. Though not mandatory, familiarity with Google Cloud Platform will help you make the most of this book.
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
by Nisheeth JoshiBuild, train, and deploy intelligent applications using Java librariesKey FeaturesLeverage the power of Java libraries to build smart applicationsBuild and train deep learning models for implementing artificial intelligenceLearn various algorithms to automate complex tasksBook DescriptionArtificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity.Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach.By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains.What you will learnLeverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among othersBuild machine learning models using supervised and unsupervised machine learning techniquesImplement different deep learning algorithms in Deeplearning4j and build applications based on themStudy the basics of heuristic searching and genetic programmingDifferentiate between syntactic and semantic similarity among textsPerform sentiment analysis for effective decision making with LingPipeWho this book is forHands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications.
Hands-On Artificial Intelligence with TensorFlow: Useful techniques in machine learning and deep learning for building intelligent applications
by Amir Ziai Ankit DixitExploit TensorFlow's capabilities to build artificial intelligence applicationsKey FeaturesExploit TensorFlow's new features to power your artificial intelligence appsImplement machine learning, deep learning, and reinforcement learning models with TensorflowBuild intelligent applications for computer vision, NLP, and healthcare, among othersBook DescriptionArtificial Intelligence (AI) is a popular area with an emphasis on creating intelligent machines that can reason, evaluate, and understand the same way as humans. It is used extensively across many fields, such as image recognition, robotics, language processing, healthcare, finance, and more.Hands-On Artificial Intelligence with TensorFlow gives you a rundown of essential AI concepts and their implementation with TensorFlow, also highlighting different approaches to solving AI problems using machine learning and deep learning techniques. In addition to this, the book covers advanced concepts, such as reinforcement learning, generative adversarial networks (GANs), and multimodal learning.Once you have grasped all this, you’ll move on to exploring GPU computing and neuromorphic computing, along with the latest trends in quantum computing. You’ll work through case studies that will help you examine AI applications in the important areas of computer vision, healthcare, and FinTech, and analyze their datasets. In the concluding chapters, you’ll briefly investigate possible developments in AI that we can expect to see in the future.By the end of this book, you will be well-versed with the essential concepts of AI and their implementation using TensorFlow.What you will learnExplore the core concepts of AI and its different approachesUse the TensorFlow framework for smart applicationsImplement various machine and deep learning algorithms with TensorFlowDesign self-learning RL systems and implement generative modelsPerform GPU computing efficiently using best practicesBuild enterprise-grade apps for computer vision, NLP, and healthcareWho this book is forHands-On Artificial Intelligence with TensorFlow is for you if you are a machine learning developer, data scientist, AI researcher, or anyone who wants to build artificial intelligence applications using TensorFlow. You need to have some working knowledge of machine learning to get the most out of this book.
Hands-On Artificial Intelligence with Unreal Engine: Everything you want to know about Game AI using Blueprints or C++
by Francesco SapioLearn to build intelligent and responsive Non-Player Characters for your games with Unreal Engine Game AI.Key FeaturesUnderstand the built-in AI systems in Unreal Engine for building intelligent gamesLeverage the power of Unreal Engine 4 programming to create game AI that focuses on motion, animation, and tacticsLearn to profile, visualize, and debug your Game AI for checking logic and optimizing performanceBook DescriptionLearning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you're developing a traditional, educational, or any other kind of game. If you want to use AI to extend the life of your games and make them challenging and more interesting, this book is for you.The book starts by breaking down AI into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn to work through the built-in AI framework in order to build believable characters for every game genre (including RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational). You will learn to configure the Navigation, Environmental Querying, and Perception systems for your AI agents and couple these with Behavior Trees, all accompanied with practical examples. You will also explore how the engine handles dynamic crowds. In the concluding chapters, you will learn how to profile, visualize, and debug your AI systems to correct the AI logic and increase performance.By the end of the book, your AI knowledge of the built-in AI system in Unreal will be deep and comprehensive, allowing you to build powerful AI agents within your projects.What you will learnGet an in-depth knowledge about all the AI Systems within Unreal EngineCreate complex AIs, understanding the art of designing and developing Behavior TreeLearn how to perform Environmental Queries (EQS)Master the Navigation, Perception, and Crowd SystemsProfile and Visualize the AI Systems with powerful debugging toolsExtend every AI and Debug system with custom nodes and functionsWho this book is forHands-On Artificial Intelligence with Unreal Engine is for you if you are a game developer with a bit experience in Unreal Engine, and now want to understand and implement believable game AI within Unreal Engine. The book will be both in Blueprint and C++, allowing people from every background to enjoy the book. Whether you're looking to build your first game or expand your knowledge to the edge as a Game AI Programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation, including how to extend some of these systems.
Hands-On Augmented Reality Development with Meta Spark Studio: A Beginner’s Guide
by Jaleh AfsharBuild augmented reality effects using Spark AR focusing on practical, project-based learning. With access to this technology being available in nearly every smartphone, the world of AR is expanding every day. Now is a great time to tell your creative story through this new medium. We will begin by learning the fundamentals of augmented reality, become familiar with key terminology, and discover the use cases this technology is most effective for. Using that foundational knowledge, we will learn how to make selfie effects, create virtual objects in the real world, and build games that respond to facial expressions and physical inputs.On completing the book, you will learn to ship effects publicly, to market their effects, and to create effects which are inclusive to their audience and have real user value.You Will • Create a face-tracking and object-tracking project in Spark AR• Understand how to customize assets and parameters • Create demo videos and icons to represent their AR effects• Learn to package the effects for publishing officially to social media channelsWho Is This Book ForThis book is ideal for students, educators, creatives, small-business owners, or anyone else interested in creating immersive AR experiences for social networking platforms such as Instagram and Facebook. No coding or design experience is required.
Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python
by Sibanjan Das Umit Mert CakmakAutomate data and model pipelines for faster machine learning applicationsKey FeaturesBuild automated modules for different machine learning componentsUnderstand each component of a machine learning pipeline in depthLearn to use different open source AutoML and feature engineering platformsBook DescriptionAutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions.What you will learnUnderstand the fundamentals of Automated Machine Learning systemsExplore auto-sklearn and MLBox for AutoML tasks Automate your preprocessing methods along with feature transformationEnhance feature selection and generation using the Python stackAssemble individual components of ML into a complete AutoML frameworkDemystify hyperparameter tuning to optimize your ML modelsDive into Machine Learning concepts such as neural networks and autoencoders Understand the information costs and trade-offs associated with AutoMLWho this book is forIf you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.
Hands-On Automation Testing with Java for Beginners: Build automation testing frameworks from scratch with Java
by Rahul ShettyLearn Java programming concepts to design automation testing frameworksKey FeaturesLearn to use Java program logic in application testingUnderstand various test-driven development concepts with Java toolsMaster Java with lots of programming examplesBook DescriptionJava is one of the most commonly-used software languages by programmers and developers. Are you from a non-technical background and looking to master Java for your automation needs? Then Hands-On Automation Testing with Java for Beginners is for you.This book provides you with efficient techniques to effectively handle Java-related automation projects. You will learn how to handle strings and their functions in Java. As you make your way through the book, you will get to grips with classes and objects, along with their uses. In the concluding chapters, you will learn about the importance of inheritance and exceptions with practical examples. By the end of this book, you will have gained comprehensive knowledge of Java.What you will learnUnderstand the practical usage of Java conditions and loopsWrite any Java program logic with strategies, tips, and tricksLeverage advanced topics in Java collections to solve Java-related problemsUnderstand and use objects, classes, methods, and functions in JavaBuild Java automation frameworks from scratchObtain knowledge of Java object-oriented programming (OOP) concepts with practical implementationsWho this book is forHands-On Automation Testing with Java for Beginners is for software developers who want to step into the world of software quality assurance and perform automation testing using various testing frameworks. Prior experience of writing tests in Java is assumed.
Hands-On AWS Penetration Testing with Kali Linux: Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation
by Karl Gilbert Benjamin CaudillIdentify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali LinuxKey FeaturesEfficiently perform penetration testing techniques on your public cloud instancesLearn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelinesA step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environmentBook DescriptionThe cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward — and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art. This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest — from serverless infrastructure to automated deployment pipelines.By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.What you will learnFamiliarize yourself with and pentest the most common external-facing AWS servicesAudit your own infrastructure and identify flaws, weaknesses, and loopholesDemonstrate the process of lateral and vertical movement through a partially compromised AWS accountMaintain stealth and persistence within a compromised AWS accountMaster a hands-on approach to pentestingDiscover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructureWho this book is forIf you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you. A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.
Hands-on Azure Boards: Configuring and Customizing Process Workflows in Azure DevOps Services
by Chaminda Chandrasekara Pushpa HerathUnderstand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work. Hands-on Azure Boards explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams. You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally, you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process. What You Will LearnPlan and manage work with Azure BoardsUse the REST API and command line interface with Azure BoardsExtend Azure Boards with useful extensions to enhance its capabilities Customize Azure Boards to adapt it to your processReport and visualize work progress with Azure BoardsWho This Book Is ForAnyone working in Azure DevOps developing applications targeting any platform using any language.
Hands-on Azure Cognitive Services: Applying AI and Machine Learning for Richer Applications
by Ed Price Adnan Masood Gaurav AroraaUse this hands-on guide book to learn and explore cognitive APIs developed by Microsoft and provided with the Azure platform. This book gets you started working with Azure Cognitive Services. You will not only become familiar with Cognitive Services APIs for applications, but you will also be exposed to methods to make your applications intelligent for deployment in businesses.The book starts with the basic concepts of Azure Cognitive Services and takes you through its features and capabilities. You then learn how to work inside the Azure Marketplace for Bot Services, Cognitive Services, and Machine Learning. You will be shown how to build an application to analyze images and videos, and you will gain insight on natural language processing (NLP). Speech Services and Decision Services are discussed along with a preview of Anomaly Detector. You will go through Bing Search APIs and learn how to deploy and host services by using containers. And you will learn how to use Azure Machine Learning and create bots for COVID-19 safety, using Azure Bot Service.After reading this book, you will be able to work with datasets that enable applications to process various data in the form of images, videos, and text.What You Will Learn Discover the options for training and operationalizing deep learning models on AzureBe familiar with advanced concepts in Azure ML and the Cortana Intelligence Suite architectureUnderstand software development kits (SKDs)Deploy an application to Azure Kubernetes Service Who This Book Is ForDevelopers working on a range of platforms, from .NET and Windows to mobile devices, as well as data scientists who want to explore and learn more about deep learning and implement it using the Microsoft AI platform
Hands-On Azure Digital Twins: A practical guide to building distributed IoT solutions
by Alexander MeijersBuild your own digital twin in no time!Key FeaturesBuild and design simple to complex digital twins solutionsCreate end-to-end solutions with Azure Digital TwinsIntegrate the Azure Digital Twins service with other Azure services to provide even richer solutionsBook DescriptionIn today's world, clients are using more and more IoT sensors to monitor their business processes and assets. Think about collecting information such as pressure in an engine, the temperature, or a light switch being turned on or off in a room. The data collected can be used to create smart solutions for predicting future trends, creating simulations, and drawing insights using visualizations. This makes it beneficial for organizations to make digital twins, which are digital replicas of the real environment, to support these smart solutions. This book will help you understand the concept of digital twins and how it can be implemented using an Azure service called Azure Digital Twins. Starting with the requirements and installation of the Azure Digital Twins service, the book will explain the definition language used for modeling digital twins. From there, you'll go through each step of building digital twins using Azure Digital Twins and learn about the different SDKs and APIs and how to use them with several Azure services. Finally, you'll learn how digital twins can be used in practice with the help of several real-world scenarios.By the end of this book, you'll be confident in building and designing digital twins and integrating them with various Azure services.What you will learnUnderstand the concept and architecture of Azure Digital TwinsGet to grips with installing and configuring the service and required toolsUnderstand the Digital Twin Definition Language (DTDL) and digital twin modelsExplore the APIs and SDKs available to access the Azure Digital Twins servicesMonitor, troubleshoot, and secure digital twinsDiscover how to build, design, and integrate applications with various Azure servicesExplore real-life scenarios with Azure Digital TwinsWho this book is forThis book is for Azure developers, Azure architects, and anyone who wants to learn more about how to implement IoT solutions using Azure Digital Twins and additional Azure services. Prior experience using the Azure Portal and a clear understanding of building applications using .NET will be helpful.
Hands-On Azure for Developers: Implement rich Azure PaaS ecosystems using containers, serverless services, and storage solutions
by Kamil MrzyglodThis book is targeted towards anyone who wants to learn about Azure services which will help them build highly scalable cloud-based applications with ease. Prior knowledge of Azure services will be an added advantage.
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
Hands-on Azure Pipelines: Understanding Continuous Integration and Deployment in Azure DevOps
by Chaminda Chandrasekara Pushpa HerathBuild, package, and deploy software projects, developed with any language targeting any platform, using Azure pipelines.The book starts with an overview of CI/CD and the need for software delivery automation. It further delves into the basic concepts of Azure pipelines followed by a hands-on guide to setting up agents on all platforms enabling software development in any language. Moving forward, you will learn to set up a pipeline using the classic Visual Editor using PowerShell scripts, a REST API, building edit history, retention, and much more. You’ll work with artifact feeds to store deployment packages and consume them in a build. As part of the discussion you’ll see the implementation and usage of YAML (Yet Another Markup Language) build pipelines. You will then create Azure release pipelines in DevOps and develop extensions for Azure pipelines. Finally, you will learn various strategies and patterns for developing pipelines and go through some sample lessons on building and deploying pipelines. After reading Hands-on Azure Pipelines, you will be able to combine CI and CD to constantly and consistently test and build your code and ship it to any target.What You Will Learn Work with Azure build-and-release pipelines Extend the capabilities and features of Azure pipelines Understand build, package, and deployment strategies, and versioning and patterns with Azure pipelines Create infrastructure and deployment that targets commonly used Azure platform services Build and deploy mobile applications Use quick-start Azure DevOps projectsWho This Book Is ForSoftware developers and test automation engineers who are involved in the software delivery process.
Hands-on Azure Repos: Understanding Centralized and Distributed Version Control in Azure DevOps Services
by Chaminda Chandrasekara Pushpa HerathUse Azure Repos to manage your code in both centralized and distributed version control systems. This book will show you how to work with Team Foundation Version Control (TFVC) and distributed version control (Git), while exploring their best practices. You'll start with an introduction to Azure Repos, focusing on TFVC and Git, and then gradually transition to hands on lessons of working with TVFC. Next, you'll see how to set up and work with TFVC branches and tracking systems followed by usage of command line and security in TFVC Repos. Create and work on Git Repos in Azure DevOps and use branching with Azure Git Repos and Git command line in Visual Studio and vscode. The book then explores security in Git Repos and advanced options you can use to import from external Repos. With Hands-on Azure Repos as your guide, you'll be able to work with these version control tools on any platform and with any language.What You'll LearnIntegrate Azure Repos with Azure Boards to enable tracking work with code.Create guidelines to tackle difficult situations in using Azure ReposClone Azure Repo to local using Visual Studio and vscodeWork with shelvesets, code reviews and lock typesPerform activities using REST API with Azure ReposWho This Book Is ForSoftware developers, tech leads and architects.
Hands-On Big Data Analytics with PySpark: Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
by Rudy Lai Bartlomiej PotaczekUse PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key Features Work with large amounts of agile data using distributed datasets and in-memory caching Source data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3 Employ the easy-to-use PySpark API to deploy big data Analytics for production Book Description Apache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs. You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark. By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively. What you will learn Get practical big data experience while working on messy datasets Analyze patterns with Spark SQL to improve your business intelligence Use PySpark's interactive shell to speed up development time Create highly concurrent Spark programs by leveraging immutability Discover ways to avoid the most expensive operation in the Spark API: the shuffle operation Re-design your jobs to use reduceByKey instead of groupBy Create robust processing pipelines by testing Apache Spark jobs Who this book is for This book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real-world data. Whether you're tasked with creating your company's business intelligence function or creating great data platforms for your machine learning models, or are looking to use code to magnify the impact of your business, this book is for you.
Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals
by James Lee Tao WeiData Modelers, Data Architects, Database administrators, ETL developers, DW/BI professionals and Software Engineers will be the relevant users who want to design sophisticated and powerful database models.
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python
by Harish Kumar GargSimplified Python programming for Bitcoin and blockchainKey FeaturesBuild Bitcoin applications in Python with the help of simple examplesMine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading botsAnalyze Bitcoin transactions and produce visualizations using Python data analysis toolsBook DescriptionBitcoin is a cryptocurrency that’s changing the face of online payments. Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins using Python.This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these inherent concepts by showing you how to build Bitcoin-driven applications with Python. Packed with clear instructions and practical examples, you will learn to understand simple Python coding examples that work with this cryptocurrency.By the end of the book, you’ll be able to mine Bitcoins, accept Bitcoin payments on the app, and work with the basics of blockchain technology to create simply distributed ledgers.What you will learnMaster the Bitcoin APIs in Python to manipulate Bitcoin from your Python appsBuild your own Bitcoin trading bots to buy Bitcoins at a lower price and sell them at a higher priceWrite scripts to process Bitcoin payments through a website or appDevelop software for Bitcoin mining to create Bitcoin currency on your own computer hardwareCreate your own keys, addresses, and wallets in Python codeWrite software to analyze Bitcoin transactions and produce reports, graphs, and other visualizationsWho this book is forHands-On Bitcoin Programming with Python consists of examples that will teach you to build your own Bitcoin application. You will learn to write scripts, build software for mining, and create Bitcoins using Python. Anyone with prior Python experience, who wants to explore Python Bitcoin programming and start building Bitcoin-driven Python apps, will find this book useful.
Hands-On Blockchain Development in 7 Days: Create a decentralized gaming application using Ethereum
by Will ButtonBuild an Ethereum gaming application from scratch in a span of seven days, by mastering smart contracts in SolidityKey FeaturesCreate a simple, functional decentralized application, on the Ethereum networkLearn fundamental blockchain programming concepts to become a blockchain developerUnderstand the development life cycle of a blockchain applicationBook DescriptionBlockchain is a revolutionary technology that is currently been used in a variety of industrial applications, such as finance, healthcare, data analytics, and much more. This book will teach you the key blockchain principles and methodologies that are required to build decentralized applications in just 7 days.This book will teach you to build an online gaming application using Ethereum. Each section will introduce fundamental blockchain programming concepts as they relate to creating an online game, followed by practical exercises that readers can implement as homework assignments. With this book, you will learn core blockchain application development skills, create smart contracts, and build user interfaces. You will not only learn how to interact with the Ethereum network, but also how to deploy your application to the Internet. This book supplies seven self-contained lessons taught in a practical, hands-on way.By the end of the book, you will be amazed at how much you have learned about the blockchain application development on the Ethereum network, in just one week!What you will learnWork with blockchain networks to create interactive applicationsLearn how to create and use variables in smart contractsUse automated tests to eliminate mistakes and errors in the codeInteract with the Ethereum network from a user interfaceBuild a user interface for smart contracts using ReactSend and receive funds in smart contracts using walletsDeploy blockchain applications on AWS Who this book is forThis book is for software engineers and IT professionals, who are eager to learn blockchain application development skills and want to master how blockchain applications are developed. This book is perfect for those with limited programming experience.
Hands-On Blockchain for Python Developers: Gain blockchain programming skills to build decentralized applications using Python
by Arjuna Sky KokImplement real-world decentralized applications using Python, Vyper, Populus, and EthereumKey FeaturesStay up-to-date with everything you need to know about the blockchain ecosystemImplement smart contracts, wallets, and decentralized applications(DApps) using Python librariesGet deeper insights into storing content in a distributed storage platformBook DescriptionBlockchain is seen as the main technological solution that works as a public ledger for all cryptocurrency transactions. This book serves as a practical guide to developing a full-fledged decentralized application with Python to interact with the various building blocks of blockchain applications.Hands-On Blockchain for Python Developers starts by demonstrating how blockchain technology and cryptocurrency hashing works. You will understand the fundamentals and benefits of smart contracts such as censorship resistance and transaction accuracy. As you steadily progress, you'll go on to build smart contracts using Vyper, which has a similar syntax to Python. This experience will further help you unravel the other benefits of smart contracts, including reliable storage and backup, and efficiency. You'll also use web3.py to interact with smart contracts and leverage the power of both the web3.py and Populus framework to build decentralized applications that offer security and seamless integration with cryptocurrencies. As you explore later chapters, you'll learn how to create your own token on top of Ethereum and build a cryptocurrency wallet graphical user interface (GUI) that can handle Ethereum and Ethereum Request for Comments (ERC-20) tokens using the PySide2 library. This will enable users to seamlessly store, send, and receive digital money. Toward the end, you'll implement InterPlanetary File System (IPFS) technology in your decentralized application to provide a peer-to-peer filesystem that can store and expose media.By the end of this book, you'll be well-versed in blockchain programming and be able to build end-to-end decentralized applications on a range of domains using Python.What you will learnUnderstand blockchain technology and what makes it an immutable databaseUse the features of web3.py API to interact with the smart contractCreate your own cryptocurrency and token in Ethereum using VyperUse IPFS features to store content on the decentralized storage platformImplement a Twitter-like decentralized application with a desktop frontendBuild decentralized applications in the shape of console, web, and desktop applicationsWho this book is forIf you are a Python developer who wants to enter the world of blockchain, Hands-On Blockchain for Python Developers is for you. The book will be your go-to guide to becoming well-versed with the blockchain ecosystem and building your own decentralized applications using Python and library support.
Hands-On Blockchain with Hyperledger: Building decentralized applications with Hyperledger Fabric and Composer
by Salman Baset Luc Desrosiers Nitin Gaur Petr Novotny Anthony O’Dowd Venkatraman RamakrishnaLeverage the power of Hyperledger Fabric to develop Blockchain-based distributed ledgers with ease Key FeaturesWrite your own chaincode/smart contracts using Golang on hyperledger networkBuild and deploy decentralized applications (DApps)Dive into real world blockchain challenges such as integration and scalabilityBook DescriptionBBlockchain and Hyperledger technologiesare hot topics today. Hyperledger Fabric and Hyperledger Composer are open source projects that help organizations create private, permissioned blockchain networks. These find application in finance, banking, supply chain, and IoT among several other sectors. This book will be an easy reference to explore and build blockchain networks using Hyperledger technologies.The book starts by outlining the evolution of blockchain, including an overview of relevant blockchain technologies. You will learn how to configure Hyperledger Fabric and become familiar with its architectural components. Using these components, you will learn to build private blockchain networks, along with the applications that connect to them. Starting from principles first, you’ll learn to design and launch a network, implement smart contracts in chaincode and much more. By the end of this book, you will be able to build and deploy your own decentralized applications, handling the key pain points encountered in the blockchain life cycle.What you will learnDiscover why blockchain is a game changer in the technology landscapeSet up blockchain networks using basic Hyperledger Fabric deploymentUnderstand the considerations for creating decentralized applicationsLearn to integrate business networks with existing systemsWrite Smart Contracts quickly with Hyperledger ComposerDesign transaction model and chaincode with GolangDeploy Composer REST Gateway to access the Composer transactionsMaintain, monitor, and govern your blockchain solutionsWho this book is forThe book benefits business leaders as it provides a comprehensive view on blockchain business models, governance structure, and business design considerations of blockchain solutions. Technology leaders stand to gain a lot from the detailed discussion around the technology landscape, technology design, and architecture considerations in the book. With model-driven application development, this guide will speed up understanding and concept development for blockchain application developers. The simple and well organized content will put novices at ease with blockchain concepts and constructs.
Hands-on Booting: Learn the Boot Process of Linux, Windows, and Unix
by Yogesh BabarMaster the booting procedure of various operating systems with in-depth analysis of bootloaders and firmware. The primary focus is on the Linux booting procedure along with other popular operating systems such as Windows and Unix. Hands-on Booting begins by explaining what a bootloader is, starting with the Linux bootloader followed by bootloaders for Windows and Unix systems. Next, you’ll address the BIOS and UEFI firmware by installing multiple operating systems on one machine and booting them through the Linux bootloader. Further, you’ll see the kernel's role in the booting procedure of the operating system and the dependency between kernel, initramfs, and dracut. You’ll also cover systemd, examining its structure and how it mounts the user root filesystem. In the final section, the book explains troubleshooting methodologies such as debugging shells followed by live images and rescue mode. On completing this book, you will understand the booting process of major operating systems such as Linux, Windows, and Unix. You will also know how to fix the Linux booting issues through various boot modes. What You Will LearnExamine the BIOS and UEFI firmware Understanding the Linux boot loader (GRUB)Work with initramfs, dracut, and systemdFix can’t-boot issues on Linux Who This Book Is For Linux users, administrators, and developers.
Hands-On Bug Hunting for Penetration Testers: A practical guide to help ethical hackers discover web application security flaws
by Joseph MarshallDetailed walkthroughs of how to discover, test, and document common web application vulnerabilities.Key FeaturesLearn how to test for common bugsDiscover tools and methods for hacking ethicallyPractice working through pentesting engagements step-by-stepBook DescriptionBug bounties have quickly become a critical part of the security economy. This book shows you how technical professionals with an interest in security can begin productively—and profitably—participating in bug bounty programs.You will learn about SQli, NoSQLi, XSS, XXE, and other forms of code injection. You’ll see how to create CSRF PoC HTML snippets, how to discover hidden content (and what to do with it once it’s found), and how to create the tools for automated pentesting workflows.Then, you’ll format all of this information within the context of a bug report that will have the greatest chance of earning you cash. With detailed walkthroughs that cover discovering, testing, and reporting vulnerabilities, this book is ideal for aspiring security professionals. You should come away from this work with the skills you need to not only find the bugs you're looking for, but also the best bug bounty programs to participate in, and how to grow your skills moving forward in freelance security research.What you will learnChoose what bug bounty programs to engage inUnderstand how to minimize your legal liability and hunt for bugs ethicallySee how to take notes that will make compiling your submission report easierKnow how to take an XSS vulnerability from discovery to verification, and report submissionAutomate CSRF PoC generation with PythonLeverage Burp Suite for CSRF detectionUse WP Scan and other tools to find vulnerabilities in WordPress, Django, and Ruby on Rails applicationsWrite your report in a way that will earn you the maximum amount of moneyWho this book is forThis book is written for developers, hobbyists, pentesters, and anyone with an interest (and a little experience) in web application security.
Hands-On Business Intelligence with DAX: Discover the intricacies of this powerful query language to gain valuable insights from your data
by Ian HorneImplement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and Excel Key Features Understand the ins and outs of DAX expressions and querying functions with the help of easy-to-follow examples Manipulate data of varying complexity and optimize BI workflows to extract key insights Create, monitor, and improve the performance of models by writing clean and robust DAX queries Book Description Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you'll learn to use DAX's functionality and flexibility in the BI and data analytics domains. You'll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You'll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you'll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You'll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you'll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you'll delve into advanced topics such as how the formula and storage engines work to optimize queries. By the end of this book, you'll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights. What you will learn Understand DAX, from the basics through to advanced topics, and learn to build effective data models Write and use DAX functions and expressions with the help of hands-on examples Discover how to handle errors in your DAX code, and avoid unwanted results Load data into a data model using Power BI, Excel Power Pivot, and SSAS Tabular Cover DAX functions such as date, time, and time intelligence using code examples Gain insights into data by using DAX to create new information Understand the DAX VertiPaq engine and how it can help you optimize data models Who this book is for This book is for data analysts, business analysts, BI developers, or SQL users who want to make the best use of DAX in the BI and data analytics domain with the help of examples. Some understanding of BI concepts is mandatory to fully understand the concepts covered in the book.