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Linux is by far the most-used kernel on embedded systems. Thanks to its subsystems, the Linux kernel supports almost all of the application fields in the industrial world. This updated second edition of Linux Device Driver Development is a comprehensive introduction to the Linux kernel world and the different subsystems that it is made of, and will be useful for embedded developers from any discipline.You'll learn how to configure, tailor, and build the Linux kernel. Filled with real-world examples, the book covers each of the most-used subsystems in the embedded domains such as GPIO, direct memory access, interrupt management, and I2C/SPI device drivers. This book will show you how Linux abstracts each device from a hardware point of view and how a device is bound to its driver(s). You’ll also see how interrupts are propagated in the system as the book covers the interrupt processing mechanisms in-depth and describes every kernel structure and API involved. This new edition also addresses how not to write device drivers using user space libraries for GPIO clients, I2C, and SPI drivers.By the end of this Linux book, you’ll be able to write device drivers for most of the embedded devices out there.
Do you want to learn how to build robust, reliable, and impressive Angular applications? If yes, then Angular test-driven development is for you!Mastering Angular Test-Driven Development is a comprehensive guide that provides you with essential resources to enhance your skills and deliver high-quality Angular applications. With a practical approach and real-world examples, the book extensively covers TDD concepts, techniques, and tools, going beyond unit testing to explore testing Angular pipes, forms, and reactive programming.In this book, you’ll learn how to validate and manipulate data using pipes, test Angular forms for input validation and user interactions, and handle asynchronous operations with reactive programming. Additionally, you’ll discover end-to-end testing using Protractor, Cypress, and Playwright frameworks, gaining valuable insights into writing robust tests for web applications, navigation, element interaction, and behavior validation. You’ll also understand how to integrate TDD with CI/CD, learning best practices for automating tests, deploying Angular applications, and achieving faster feedback loops.By the end of this book, you’ll be able to successfully implement TDD in your Angular projects with the help of practical examples, best practices, and clear explanations.
Kamesh Ganesan, Rithin Skaria, Frederik Vos
Thanks to its flexibility in delivering scalable cloud solutions, Microsoft Azure is a suitable platform for managing all your workloads. You can use it to implement Linux virtual machines and containers, and to create applications in open source languages with open APIs.This Linux administration book first takes you through the fundamentals of Linux and Azure to prepare you for the more advanced Linux features in later chapters. With the help of real-world examples, you’ll learn how to deploy virtual machines (VMs) in Azure, expand their capabilities, and manage them efficiently. You will manage containers and use them to run applications reliably, and in the concluding chapter, you'll explore troubleshooting techniques using a variety of open source tools.By the end of this book, you'll be proficient in administering Linux on Azure and leveraging the tools required for deployment.
Christophe Dupupet, Julien Testut, Peter Boyd-Bowman, Bernard Wheeler, ...
Oracle Data Integrator (ODI) is Oracle's strategic data integration platform for high-speed data transformation and movement between different systems. From high-volume, SOA-enabled data services, to trickle operations ñ ODI is a cutting-edge platform that offers heterogeneous connectivity, enterprise-level deployment, and strong administrative, diagnostic, and management capabilities.Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial provides you with everything you to get up and running with Oracle Data Integrator, and more! Following an example scenario, the book covers essential information about the ODI architecture and using ODI across different databases (Oracle, Microsoft SQL Server and MySQL), and file types such as XML, before covering Orchestrating Data Integration Workflows, Error Management, Operational Management and Monitoring, and beyond.Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial begins by describing the Oracle Data Integrator architecture and teaching you to install the product following best practices. You'll then be introduced to some of the key concepts of ODI such as the Knowledge Modules.Later topics include moving and transforming data from sources to targets including the Oracle Database, Microsoft SQL Server, MySQL, Flat files, and XML files, each with illustrated hands-on examples for the different technologies. Your learning experience will be made all the more rich with chapters introducing, explaining and leveraging additional ODI functionality such as variables, reusable procedures, temporary indexes and more.Finally ODI's workflow and task orchestration capabilities are explained before introducing you to Error Management with ODI's built-in 'error hospital' and 'error recycling' capabilities for non-compliant data, not to mention tackling ODI Studio, ODI Console and Enterprise Manager Fusion Middleware Control.
Machine Learning with R. Expert techniques for predictive modeling - Third Edition
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.
Implementing Azure DevOps Solutions helps DevOps engineers and administrators to leverage Azure DevOps Services to master practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments.This book starts with the basics of continuous integration, continuous delivery, and automated deployments. You will then learn how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. Next, you will delve into fitting security and compliance with DevOps. As you advance, you will explore how to instrument applications, and gather metrics to understand application usage and user behavior. The latter part of this book will help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you will understand how to create your own Azure DevOps organization, along with covering quick tips and tricks to confidently apply effective DevOps practices.By the end of this book, you’ll have gained the knowledge you need to ensure seamless application deployments and business continuity.