Building Mobile Applications Using Kendo UI Mobile and ASP.NET Web API. Confident of your web application skills but not yet au fait with mobile development? Well this book helps you use the Kendo UI for a painless introduction. Practical tasks and clear instructions make learning a breeze

Ragini Kumbhat Bhandari, Nishanth Nair, Ragini Bhandari

With the world becoming more mobile, there is a growing need for mobile websites and applications. Building these from scratch is not a simple process. Kendo UI Mobile makes building websites and applications easier than ever before. Build applications for phones and tablets in no time at all and provide your user with a native look and feel.Building Mobile Applications Using Kendo UI Mobile and ASP.NET Web API helps you to understand the concept of building mobile applications using HTML5 based frameworks, specifically Kendo UI Mobile. It teaches you in a simple step-by-step manner how to create a service backend layer using ASP.NET Web API and how to integrate it with your front end mobile application, which is the missing piece of the puzzle for most developers who are new to mobile applications development. Learn everything from the basics of HTML5 to design and development of a mobile application using Kendo UI Mobile and ASP.NET Web API. Integrate them in the right way using extensible and maintainable JavaScript code.Starting with the basics of the Kendo UI platform, learn how to build a real world mobile application from scratch. You will explore the Kendo UI framework elements and integrate the sample mobile application with the ASP.NET Web API service. One of the most important things that you will learn from this book is how to organize your code using the JavaScript Revealing Module Pattern. You will also take a journey through Kendo UI Mobile widgets with lots of code samples hosted in jsFiddle. At the end of this book, you will complete the integration of the sample application and master fixing real world problems utilizing your newly acquired professional techniques that will save you time and effort.Building Mobile Applications Using Kendo UI Mobile and ASP.NET Web API will help you improve your mobile application development skills using hands-on examples, and will help you address the common problems faced by beginners as well as experienced web programmers. 

Effective Concurrency in Go. Develop, analyze, and troubleshoot high performance concurrent applications with ease

Burak Serdar

The Go language has been gaining momentum due to its treatment of concurrency as a core language feature, making concurrent programming more accessible than ever. However, concurrency is still an inherently difficult skill to master, since it requires the development of the right mindset to decompose problems into concurrent components correctly. This book will guide you in deepening your understanding of concurrency and show you how to make the most of its advantages.You’ll start by learning what guarantees are offered by the language when running concurrent programs. Through multiple examples, you will see how to use this information to develop concurrent algorithms that run without data races and complete successfully. You’ll also find out all you need to know about multiple common concurrency patterns, such as worker pools, asynchronous pipelines, fan-in/fan-out, scheduling periodic or future tasks, and error and panic handling in goroutines.The central theme of this book is to give you, the developer, an understanding of why concurrent programs behave the way they do, and how they can be used to build correct programs that work the same way in all platforms.By the time you finish the final chapter, you’ll be able to develop, analyze, and troubleshoot concurrent algorithms written in Go.

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who’s developed college-level courses on data preprocessing and related subjects. With this book, you’ll be equipped with the optimum data preprocessing techniques from multiple perspectives, ensuring that you get the best possible insights from your data. You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with implementing them using the open source Python programming environment. The hands-on examples and easy-to-follow chapters will help you gain a comprehensive articulation of data preprocessing, its whys and hows, and identify opportunities where data analytics could lead to more effective decision making. As you progress through the chapters, you’ll also understand the role of data management systems and technologies for effective analytics and how to use APIs to pull data.By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and handle outliers or missing values to effectively prepare data for analytic tools.

AI Crash Course. A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

Hadelin de Ponteves

Welcome to the Robot World … and start building intelligent software now!Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch.AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.

Microsoft SQL Server 2012 with Hadoop. Getting SQL Server talking to Hadoop is a smooth process when you follow this tutorial. Learn all the tools and techniques you need integrate the data and then extract powerful business insights from the merged result

Debarchan Sarkar

With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed complementary. While petabytes of unstructured data can be stored in Hadoop taking hours to be queried, terabytes of structured data can be stored in SQL Server 2012 and queried in seconds. This leads to the need to transfer and integrate data between Hadoop and SQL Server.Microsoft SQL Server 2012 with Hadoop is aimed at SQL Server developers. It will quickly show you how to get Hadoop activated on SQL Server 2012 (it ships with this version). Once this is done, the book will focus on how to manage big data with Hadoop and use Hadoop Hive to query the data. It will also cover topics such as using in-memory functions by SQL Server and using tools for BI with big data.Microsoft SQL Server 2012 with Hadoop focuses on data integration techniques between relational (SQL Server 2012) and non-relational (Hadoop) worlds. It will walk you through different tools for the bi-directional movement of data with practical examples.You will learn to use open source connectors like SQOOP to import and export data between SQL Server 2012 and Hadoop, and to work with leading in-memory BI tools to create ETL solutions using the Hive ODBC driver for developing your data movement projects. Finally, this book will give you a glimpse of the present day self-service BI tools such as Excel and PowerView to consume Hadoop data and provide powerful insights on the data.

Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework

Aniruddha Deswandikar

Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.

Microsoft Hyper-V PowerShell Automation. Manage, automate, and streamline your Hyper-V environment effectively with advanced PowerShell cmdlets

Vinith Menon

Applied Machine Learning Explainability Techniques. Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

Aditya Bhattacharya

Explainable AI (XAI) is an emerging field that brings artificial intelligence (AI) closer to non-technical end users. XAI makes machine learning (ML) models transparent and trustworthy along with promoting AI adoption for industrial and research use cases.Applied Machine Learning Explainability Techniques comes with a unique blend of industrial and academic research perspectives to help you acquire practical XAI skills. You'll begin by gaining a conceptual understanding of XAI and why it's so important in AI. Next, you'll get the practical experience needed to utilize XAI in AI/ML problem-solving processes using state-of-the-art methods and frameworks. Finally, you'll get the essential guidelines needed to take your XAI journey to the next level and bridge the existing gaps between AI and end users.By the end of this ML book, you'll be equipped with best practices in the AI/ML life cycle and will be able to implement XAI methods and approaches using Python to solve industrial problems, successfully addressing key pain points encountered.

Blazor WebAssembly by Example. A project-based guide to building web apps with .NET, Blazor WebAssembly, and C#

Toi B. Wright, Scott Hanselman

Blazor WebAssembly makes it possible to run C# code on the browser instead of having to use JavaScript, and does not rely on plugins or add-ons. The only technical requirement for using Blazor WebAssembly is a browser that supports WebAssembly, which, as of today, all modern browsers do. Blazor WebAssembly by Example is a project-based guide for learning how to build single-page web applications using the Blazor WebAssembly framework. This book emphasizes the practical over the theoretical by providing detailed step-by-step instructions for each project.You'll start by building simple standalone web applications and progress to developing more advanced hosted web applications with SQL Server backends. Each project covers a different aspect of the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, event handling, application state, and dependency injection. The book is designed in such a way that you can complete the projects in any order.By the end of this book, you will have experience building a wide variety of single-page web applications with .NET, Blazor WebAssembly, and C#.

.NET 4.0 Generics Beginner's Guide. Enhance the type safety of your code and create applications easily using Generics in the .NET 4.0 Framework with this book and

Sudipta Mukherjee

Generics were added as part of .NET Framework 2.0 in November 2005. Although similar to generics in Java, .NET generics do not apply type erasure but every object has unique representation at run-time. There is no performance hit from runtime casts and boxing conversions, which are normally expensive..NET offers type-safe versions of every classical data structure and some hybrid ones.This book will show you everything you need to start writing type-safe applications using generic data structures available in Generics API. You will also see how you can use several collections for each task you perform. This book is full of practical examples, interesting applications, and comparisons between Generics and more traditional approaches. Finally, each container is bench marked on the basis of performance for a given task, so you know which one to use and when.This book first covers the fundamental concepts such as type safety, Generic Methods, and Generic Containers. As the book progresses, you will learn how to join several generic containers to achieve your goals and query them efficiently using Linq. There are short exercises in every chapter to boost your knowledge.The book also teaches you some best practices, and several patterns that are commonly available in generic code.Some important generic algorithm definitions are present in Power Collection (an API created by Wintellect Inc.) that are missing from .NET framework. This book shows you how to use such algorithms seamlessly with other generic containers.The book also discusses C5 collections. Java Programmers will find themselves at home with this API. This is the closest to JCF. Some very interesting problems are solved using generic containers from .NET framework, C5, and PowerCollection Algorithms ñ a clone of Google Set and Gender Genie for example!The author has also created a website (https://www.consulttoday.com/genguide) for the book where you can find many useful tools, code snippets, and, applications, which are not the part of code-download section

Ghidra Software Reverse-Engineering for Beginners. Master the art of debugging, from understanding code to mitigating threats - Second Edition

David Álvarez Pérez, Ravikant Tiwari

Written by David Álvarez Pérez, a senior malware analyst at Gen Digital Inc., and Ravikant Tiwari, a senior security researcher at Microsoft, with expertise in malware and threat detection, this book is a complete guide to using Ghidra for examining malware, making patches, and customizing its features for your cybersecurity needs.This updated edition walks you through implementing Ghidra’s capabilities and automating reverse-engineering tasks with its plugins. You’ll learn how to set up an environment for practical malware analysis, use Ghidra in headless mode, and leverage Ghidra scripting to automate vulnerability detection in executable binaries. Advanced topics such as creating Ghidra plugins, adding new binary formats, analyzing processor modules, and contributing to the Ghidra project are thoroughly covered too.This edition also simplifies complex concepts such as remote and kernel debugging and binary diffing, and their practical uses, especially in malware analysis. From unpacking malware to analyzing modern ransomware, you’ll acquire the skills necessary for handling real-world cybersecurity challenges.By the end of this Ghidra book, you’ll be adept at avoiding potential vulnerabilities in code, extending Ghidra for advanced reverse-engineering, and applying your skills to strengthen your cybersecurity strategies.

Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development

Siddharta Govindaraj

This book starts with a look at the test-driven development process, and how it is different from the traditional way of writing code. All the concepts are presented in the context of a real application that is developed in a step-by-step manner over the course of the book. While exploring the common types of smelly code, we will go back into our example project and clean up the smells that we find.Additionally, we will use mocking to implement the parts of our example project that depend on other systems. Towards the end of the book, we'll take a look at the most common patterns and anti-patterns associated with test-driven development, including integration of test results into the development process.

RxJS Cookbook for Reactive Programming. Discover 40+ real-world solutions for building async, event-driven web apps

Nikola Mitrović , Santosh Yadav

Building modern web applications that are responsive and resilient is essential in this rapidly evolving digital world. Imagine effortlessly managing complex data streams and creating seamless user experiences—this book helps you do just that by adopting RxJS to boost your development skills and transform your approach to reactive programming.Written by a seasoned software engineer and consultant with a decade of industry experience, this book equips you to harness the power of RxJS techniques, patterns, and operators tailored for real-world scenarios. Each chapter is filled with practical recipes designed to tackle a variety of challenges, from managing side effects and ensuring error resiliency in client applications to developing real-time chat applications and event-driven microservices. You’ll learn how to integrate RxJS with popular frameworks, such as Angular and NestJS, gaining insights into modern web development practices that enhance performance and interactivity.By the end of this book, you’ll have mastered reactive programming principles, the RxJS library, and working with Observables, while crafting code that reacts to changes in data and events in a declarative and asynchronous way.

3D Environment Design with Blender. Enhance your modeling, texturing, and lighting skills to create realistic 3D scenes

Abdelilah Hamdani, Carlos Barreto

Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don’t be discouraged! 3D Environment Design with Blender will get you up and running.This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you’ll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you’ll create from scratch. Once you’ve developed your natural environment, you’ll advance to creating realistic render shots by applying cool camera features, and compositing tricks that will make your final render look photorealistic and pleasing to the eye.By the end of this book, you'll be able to implement modeling tricks and best practices to make your 3D environments look stunningly lifelike.

Instant JRebel. Accelerate your code development dramatically with this practical guide

Jonathan Lermitage

JRebel is a JVM plugin that lets Java developers update code instantly and see their changes reflected in their application under development without restarting the application server. JRebel is a plugin for anything that is in Java and is also IDE neutral. If you want to update your code instantly without compiling and deploying the code repeatedly, this book is for you.This book will focus on the most important development steps and will also help you save time which is otherwise spent on compilation and deployment of code. You will learn how to use JRebel with the most popular IDEs and Java servers and how to accelerate the development of your current and future Java SE and Java EE projects.This book shows you how to install JRebel, configure your favourite IDE and Java server for JRebel, and start using it on your projects.With this book, you will learn how to get a free license for JRebel and how to integrate JRebel with most Java servers and development environments. To finish, you will see how to work with desktop and web projects and how to utilize JRebel to dramatically accelerate their development.

Learning JavaScript Data Structures and Algorithms. Hone your skills by learning classic data structures and algorithms in JavaScript - Second Edition

Loiane Groner

This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you’ll encounter, we’ll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks.Toward the end of the book, you’ll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.