Hands On Design Patterns With React Native
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Hands-On Design Patterns with React Native
Author: Mateusz Grzesiukiewicz
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-09-29
Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of “Idea patterns”. Key FeaturesMobile development in React Native should be done in a reusable way. Learn how to build scalable applications using JavaScript patterns that are battle tested.Try effective techniques on your own using over 80 standalone examples.Book Description React Native helps developers reuse code across different mobile platforms like iOS and Android. This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams. The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them “Idea patterns”. This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone. The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. Each approach will be presented with its pros and cons. You will learn how to work with external data sources using libraries like Redux thunk and Redux Saga. The end goal is the ability to recognize the best solution for a given problem for your next mobile application. What you will learnExplore the design Patterns in React NativeLearn the best practices for React Native developmentExplore common React patterns that are highly used within React Native developmentLearn to decouple components and use dependency injection in your applicationsExplore the best ways of fetching data from the backend systemsLearn the styling patterns and how to implement custom mobile designsExplore the best ways to organize your application code in big codebasesWho this book is for The ideal target audience for this book are people eager to learn React Native design patterns who already know the basics of JavaScript. We can assume that the target audience already knows how to write Hello World in JavaScript and know what are the functions, recursive functions, JavaScript types and loops.
React 16 Tooling
React 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know — in detail. Key Features Each chapter presents meta-development solutions to help React developers The tools used are presented in a practical, solution-oriented approach with no fluff The chapters are arranged in a logical order that mirrors a typical React development workflow, but you are free to tweak the approaches discussed to fit your own unique style Book Description React 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know — in detail. As React has grown, the amazing toolset around it has also grown, adding features and enhancing the development workflow. Each of these essential tools is presented in a practical manner and in a logical order mirroring the development workflow. These tools will make your development life simpler and happier, enabling you to create better and more performant apps. Adam starts with a hand-picked selection of the best tools for the React 16 ecosystem. For starters, there’s the create-react-app utility that’s officially supported by the React team. Not only does this tool bootstrap your React project for you, it also provides a consistent and stable framework to build upon. The premise is that when you don’t have to think about meta development work, more focus goes into the product itself. Other React tools follow this same approach to automating and improving your development life. Jest makes unit testing quicker. Flow makes catching errors easier. Docker containers make deployment in a stack simpler. Storybook makes developing components straightforward. ESLint makes writing standardized code faster. The React DevTools plugin makes debugging a cinch. React 16 Tooling clears away the barriers so you can focus on developing the good parts. In this book, we’ll look at each of these powerful tools in detail, showing you how to build the perfect React ecosystem to develop your apps within. What you will learn Bootstrap a React application using create-react-app Isolate React component development using Storybook Write effective unit tests for your React components using Jest Ensure that your component code is to standard using ESLint Use browser extensions and built-in component instrumentation to debug React applications Enable type safety in React components with Flowtype Deploy React applications inside a Docker container as part of a larger application stack Who this book is for This book is for React developers of any skill level who want to make their lives easier. It helps to have some familiarity with React, but if you are an experienced web developer looking at React, then this book will show you how to build a resilient toolset around you before you begin.
Artificial Intelligence for Smart Health: Learning, Simulation, and Optimization
With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available and accessible in the clinical environment. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. However, it is widely acknowledged that biomedical and healthcare data contain high dimensions, large volumes, missing values, imbalanced classes, heterogeneous sources, multi-modalities, and measurement noises. These inherent features pose significant barriers to the translation of data into meaningful clinical actions. Thus, there arises an urgent and compelling need for the development of innovative machine learning, simulation, and optimization algorithms to cope with the unique challenges associated with biomedical and healthcare data, facilitating the transformation of data into actionable insights for smart health. Our Research Topic aims at catalyzing synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) develop cutting-edge data-driven models to accelerate scientific knowledge discovery in biomedicine from medical and healthcare data collected from laboratory systems, imaging systems, and medical and sensing devices; (2) develop advanced simulation and calibration algorithms to build personalized digital twins by effectively assimilating patient-specific medical data with population-level computer models, facilitating precision medical planning; (3) develop innovative optimization algorithms for optimal medical decision making in the face of uncertainty factors, conflicting objectives, and complex trade-offs. This Research Topic will offer a timely collection of information to benefit the researchers and practitioners working in the broad fields of biomedical informatics, healthcare data analytics, medical image processing, and health-related artificial intelligence. By harnessing the potential of machine learning, computational simulation, and mathematical optimization techniques, healthcare professionals can effectively analyze and interpret the vast amount of biomedical data available to them, which will ultimately lead to more accurate disease diagnosis, personalized treatment plans, and improved patient outcomes.