Linux Kernel Debugging. Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

Kaiwan N. Billimoria

The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor.Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more.By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.

R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms

Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel

Data mining is the first step to understanding data and making sense of heaps of data. Properly mined data forms the basis of all data analysis and computing performed on it. This learning path will take you from the very basics of data mining to advanced data mining techniques, and will end up with a specialized branch of data mining—social media mining.You will learn how to manipulate data with R using code snippets and how to mine frequent patterns, association, and correlation while working with R programs. You will discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on R Hadoop projects. Now that you are comfortable with data mining with R, you will move on to implementing your knowledge with the help of end-to-end data mining projects. You will learn how to apply different mining concepts to various statistical and data applications in a wide range of fields. At this stage, you will be able to complete complex data mining cases and handle any issues you might encounter during projects.After this, you will gain hands-on experience of generating insights from social media data. You will get detailed instructions on how to obtain, process, and analyze a variety of socially-generated data while providing a theoretical background to accurately interpret your findings. You will be shown R code and examples of data that can be used as a springboard as you get the chance to undertake your own analyses of business, social, or political data.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Data Mining with R by Bater Makhabel ? R Data Mining Blueprints by Pradeepta Mishra? Social Media Mining with R by Nathan Danneman and Richard Heimann

Amazon SimpleDB Developer Guide. Scale your application's database on the cloud using Amazon SimpleDB

Prabhakar Chaganti, Rich Helms, Richard Helms

SimpleDB is a highly scalable, simple-to-use, and inexpensive database in the cloud from Amazon Web Services. But in order to use SimpleDB, you really have to change your mindset. This isn't a traditional relational database; in fact it's not relational at all. For developers who have experience working with relational databases, this may lead to misconceptions as to how SimpleDB works.This practical book aims to address your preconceptions on how SimpleDB will work for you. You will be quickly led through the differences between relational databases and SimpleDB, and the implications of using SimpleDB. Throughout this book, there is an emphasis on demonstrating key concepts with practical examples for Java, PHP, and Python developers.You will be introduced to this massively scalable schema-less key-value data store: what it is, how it works, and why it is such a game-changer. You will then explore the basic functionality offered by SimpleDB including querying, code samples, and a lot more. This book will help you deploy services outside the Amazon cloud and access them from any web host.You will see how SimpleDB gives you the freedom to focus on application development. As you work through this book you will be able to optimize the performance of your applications using parallel operations, caching with memcache, asynchronous operations, and more.

Modern Frontend Development with Node.js. A compendium for modern JavaScript web development within the Node.js ecosystem

Florian Rappl

Almost a decade after the release of Node.js, the tooling used by frontend developers is fully embracing this cross-platform JavaScript runtime, which is sadly often limited to server-side web development. This is where this Node.js book comes in, showing you what this popular runtime has to offer and how you can unlock its full potential to create frontend-focused web apps.You’ll begin by learning the basics and internals of Node.js, before discovering how to divide your code into modules and packages. Next, you’ll get to grips with the most popular package managers and their uses and find out how to use TypeScript and other JavaScript variants with Node.js. Knowing which tool to use when is crucial, so this book helps you understand all the available state-of-the-art tools in Node.js. You’ll interact with linters such as ESLint and formatters such as Prettier. As you advance, you’ll become well-versed with the Swiss Army Knife for frontend developers – the bundler. You’ll also explore various testing utilities, such as Jest, for code quality verification. Finally, you’ll be able to publish your code in reusable packages with ease.By the end of this web development book, you’ll have gained the knowledge to confidently choose the right code structure for your repositories with all that you’ve learned about monorepos.

Mastering Predictive Analytics with R. Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

Rui Miguel Forte, Rui Miguel Forte

Lightning-Fast Mobile App Development with Galio. Build stylish cross-platform mobile apps with Galio and React Native

Alin Gheorghe

Galio is a free open source React Native framework that enables beginner-level programmers to quickly build cross-platform mobile apps by leveraging its beautifully designed ready-made components. This book helps you to learn about React Native app development while building impressive out-of-the-box apps with Galio.Lightning Fast Mobile App Development with Galio takes a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin by exploring the basics of React Native and understanding how Galio works. As you make progress, you'll learn how to initialize and configure a React Native app and get to grips with the basics of React Native development. You'll also discover how packages work and how to install Galio as the main dependency, along with understanding how and why Galio helps you to develop apps with ease. Finally, you'll build three practical and exciting apps using React Native and Galio.By the end of this app development book, you'll have learned how to use Galio to quickly create layouts and set up React Native projects for your personal ideas.

Keap Cookbook. Over 75 effective recipes for CRM optimization, marketing automation, and workflow mastery

Michelle Bell, Lesley Oliver

Say goodbye to feeling overwhelmed by Keap Pro/Max! This guide is your ultimate companion, taking you from the initial setup to daily usage and routine maintenance, showing you how to leverage the system’s features for business success. We start by building a solid foundation for Keap Pro/Max, guiding you through the setup and helping you navigate the features with ease. As you progress, you'll uncover advanced strategies and tricks that will elevate your business.Imagine managing your customer relationships effortlessly, delighting them at every step. Learn how to organize your contacts, track sales, and enhance the customer experience. Say goodbye to manual tasks and hello to efficiency by automating your marketing campaigns. You'll target your audience with precision and create personalized customer journeys.Need to generate leads? This book reveals proven techniques to attract, capture, and nurture leads effectively. You'll master campaign management, ensuring every step is seamlessly executed for maximum conversions.By the end of this book, you’ll be a Keap Pro/Max wiz, ready to dominate your niche and scale your business using the power of automation to supercharge your marketing efforts and achieve workflow mastery.

Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems - Second Edition

Dr. Amita Kapoor

Transform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. By the end of the book, you’ll emerge as a master of AI-driven IoT, armed with invaluable experience in optimizing IoT devices, boosting their performance, and integrating AI algorithms to make intelligent decisions.