Java-Based Real-Time ProgrammingDevelopment of embedded software has for some years mainly been carried out by hardware-aware programming using the C-language, and in some cases even in assembly languages. This works well in simple cases when the application demands and the hardware are known at design time, and the size of the (statically defined) software is small. When applications increase in size and must be rapidly developed (time to market), and perhaps need to be on-line upgradeable, more programming support is needed. In particular, for critical applications (safety critical as in an airplane, mission critical as in space/military/nuclear tasks, economically critical if the survival of the company depends on the reliability of the computer system, etc.) special measures must be taken to limit the possible (faulty) influences of one software function on another part of the system. Therefore, we have to abandon programming in C or C++ for large/complex systems. Instead, we have to base the core development on ...
Software Architecture with C++Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use. Modern C++ allows developers to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends. The book will then explain what software architecture is and help you explore its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, yo ...
Vue.js 3 By ExampleWith its huge ecosystem and wide adoption, Vue is one of the leading frameworks thanks to its ease of use when developing applications. This book will help you understand how you can leverage Vue effectively to develop impressive apps quickly using its latest version - Vue 3.0.
The book takes an example-based approach to help you get to grips with the basics of Vue 3 and create a simple application by exploring features such as components and directives. You'll then enhance your app building skills by learning how to test the app with Jest and Vue Test Utils. As you advance, you'll understand how to write non-web apps with Vue 3, create cross-platform desktop apps with the Electron plugin, and build a multi-purpose mobile app with Vue and Ionic. You'll also be able to develop web apps with Vue 3 that interact well with GraphQL APIs. Finally, you'll build a chat app that performs real-time communication using Vue 3 and Laravel.
By the end of this Vue.js book, you'll have developed ...
Automated Machine Learning with Microsoft AzureAutomated Machine Learning with Microsoft Azure helps you to build high-performing, accurate machine learning models in record time. It allows anyone to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. With a series of clicks on a guided user interface (GUI), novices and seasoned data scientists alike can train and deploy machine learning solutions to production with ease.
This book will teach you how to use Azure AutoML with both the GUI as well as the AzureML Python software development kit (SDK) in a careful, step-by-step way. First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train ...
Classical Object-Oriented Programming with ECMAScriptECMAScript (more popularly known by the name "JavaScript") is the language of the web. In the decades past, it has been used to augment web pages with trivial features and obnoxious gimmicks. Today, the language is used to write full-featured web applications that rival modern desktop software in nearly every regard and has even expanded to create desktop and server software. With increased usage, there is a desire to apply more familiar development paradigms while continuing to take advantage of the language's incredibly flexible functional and prototypal models. Of all of the modern paradigms, one of the most influential and widely adopted is the Classical Object-Oriented paradigm, as represented in languages such as Java, C++, Python, Perl, PHP and others.
ECMAScript, as an object-oriented language, contains many features familiar to Classical OO developers. However, certain features remain elusive. This paper will detail the development of a classical object-oriented framework f ...
Deep Reinforcement Learning in UnityGain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.
This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow). You will learn about: deep learning and work through an introduction to Tensorflow for writing neural networks (including perceptron, convolution, and LSTM networks), Q learning with Unity ML agents, and porting trained neural network models in Unity through the Python-C# API. You will also explore the OpenAI Gym Environment used throughout the book.
Deep Reinforcement ...
Creating ASP.NET Core Web ApplicationsDesign and develop an ASP.NET Core web application using .NET Core 3.0. This book shows you how to publish a web application to a web server and connect the published web application to a production database.
Creating ASP.NET Core Web Applications starts by setting up the Visual Studio project where you will learn about Razor pages, Entities, and creating a data service. You will create models along with methods to use a query string and handle bad requests. Modifying data with Tag helpers is discussed as well as installation of Entity Framework, working with database migrations, and implementing a data access service. You will learn how to use layout pages and sections with Partial Views, _ViewImports, and _ViewStart files. You also will create custom middleware and log application events. You will be able to deploy the web application as well as connect it to a SQL Server database. ...
Developing Web Components with TypeScriptCreate professional and progressive web apps with the native HTML API on the latest technology stack. This book describes the basics of web components and how to create them using plain JavaScript as well as how to make professional applications based on web components using TypeScript.
Developing Web Components with TypeScript looks at APIs using examples, techniques, and tricks. You will start with a brief introduction to web components, including slots and templates, handling custom events, and styling components with or without shadow DOM. Then, it introduces TypeScript as part of the tool set. It shows the internal construction of a professional thin library. It also helps you learn how to deal with web components in real-life projects; this includes techniques such as creating a single-page app without framework code. All code samples used here are supported by all modern browsers for you to follow along. ...
Data Science RevealedGet insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model.
The book covers parametric methods or linear models that combat under- or over-fitting using techniques such as Lasso and Ridge. It includes complex regression analysis with time series smoothing, decomposition, and forecasting. It takes a fresh look at non-parametric models for binary classification (logistic regression analysis) and ensemble methods such as decision trees, support vector machines, and naive Bayes. It covers the most popular non-parametric method for time-event data (the Kaplan-Meier estimator). It also covers ways of solving classification pro ...
React and LibrariesHarness the power of React and the related libraries that you need to know to deliver successful front-end implementations. Whether you are a beginner getting started or an existing React developer, this book will provide you with the must-have knowledge you need in your toolbox to build a complete app.
Start by learning how to create and style your own components, add state management, and manage routing. You'll also learn how to work with the backend using the MERN stack (MongoDB, Express, React, and Node.js). Once you have completed building your app you will learn how to deliver quality software by conducting unit testing, integration testing, and end-to-end (E2E) testing, as well as learn techniques to debug, profile, and optimize your React app.
Libraries and tools covered include TypeScript, Material-UI, Styled Components, SCSS, React Router, Redux Toolkit, Recoil, Jest, Enzyme, Sinon, MongoDB, NodeJS, Express, Serve, Grunt, Puppeteer, ESLint, Prettier and many others. And, ...