Search results for """ "Reactive Programming with RxJS""

Book SynopsisDESCRIPTION A growing flood of data is aimed at JavaScript applications, and they need be ready for it. As more and more data is received, applications must scale to stay operational. There’s also the problem of latency when data has to be fetched from remote locations. RxJS, or Reactive Extensions for JavaScript, is a library for transforming, composing, and consuming streams of data. RxJS combines reactive and functional programming to give an extensible, asynchronous event handling system for JavaScript. RxJS in Action gives readers the development skills they need to create reactive applications with RxJS. This book is full of theory and practical examples that build on each other and help readers begin thinking in a reactive manner. The book begins by teaching the fundamentals of functional programming, and dives in to the basics of RxJS and what it means to be reactive. Next, it teaches how to build real-world applications with RxJS. The last part of the book tackles the advanced topics to take the reader’s reactive programming skills to the next level, as they will learn how to deal with error handling, unit testing, and the role of RxJS when combined with frameworks such as Angular.js or Cycle.js. Examples in the book use RxJS 5, the latest version of RxJS built with an eye on performance and simplicity. KEY FEATURES • Full of practical examples using real-world applications • Creating readable, easy-to-understand event processing pipelines • Introduces the fundamentals of functional and reactive programming • Transforms bulky, untestable code into modular, testable expressions• Uses the latest version of RxJS AUDIENCE This book is for readers who are comfortable writing and building applications in JavaScript. ABOUT THE TECHNOLOGY RxJS combines reactive and functional programming to give programmers an extensible, asynchronous event handling system for JavaScript. RxJS is ideal for applications with features that have continuous data flows that have to fetch and combine multiple pieces of remote data, auto-complete text boxes, drag and drop, process user input, and more.

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Book SynopsisWith this practical book, Java developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm.

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Book SynopsisIs Internet software so different from "ordinary" software? This book practically answers this question through the presentation of a software design method based on the State Chart XML W3C standard along with Java. Web enterprise, Internet-of-Things, and Android applications, in particular, are seamlessly specified and implemented from "executable models."Internet software puts forward the idea of event-driven or reactive programming, as pointed out in Bonér et al.'s "Reactive Manifesto" (http://www.reactivemanifesto.org). It tells us that reactiveness is a must. However, beyond concepts, software engineers require effective means with which to put reactive programming into practice. This book's purpose is to outline and explain such means.The lack of professional examples in the literature that illustrate how reactive software should be shaped can be quite frustrating. Therefore, this book helps to fill in that gap by providing in-depth professional case studies that contain comprehensive details and meaningful alternatives. Furthermore, these case studies can be downloaded for further investigation.Internet software requires higher adaptation, at run time in particular. After reading Reactive Internet Programming, the reader therefore will be ready to enter the forthcoming Internet era.Table of Contents 1. Introduction 2. Event and State-based Modeling and Programming 3. Applying State Chart XML 4. Programming State Chart XML Models 5. Execution Semantics 6. Advanced Programming with PauWare engine 7. Programming the ""Internet of Things"" 8. Programming Web Enterprise Component Management 9. Software Component Management Appendix A. Internal Structure of PauWare Engine Appendix B. Acronyms Appendix C. Software References Author's Biography

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Book SynopsisIs Internet software so different from "ordinary" software? This book practically answers this question through the presentation of a software design method based on the State Chart XML W3C standard along with Java. Web enterprise, Internet-of-Things, and Android applications, in particular, are seamlessly specified and implemented from "executable models."Internet software puts forward the idea of event-driven or reactive programming, as pointed out in Bonér et al.'s "Reactive Manifesto" (http://www.reactivemanifesto.org). It tells us that reactiveness is a must. However, beyond concepts, software engineers require effective means with which to put reactive programming into practice. This book's purpose is to outline and explain such means.The lack of professional examples in the literature that illustrate how reactive software should be shaped can be quite frustrating. Therefore, this book helps to fill in that gap by providing in-depth professional case studies that contain comprehensive details and meaningful alternatives. Furthermore, these case studies can be downloaded for further investigation.Internet software requires higher adaptation, at run time in particular. After reading Reactive Internet Programming, the reader therefore will be ready to enter the forthcoming Internet era.Table of Contents 1. Introduction 2. Event and State-based Modeling and Programming 3. Applying State Chart XML 4. Programming State Chart XML Models 5. Execution Semantics 6. Advanced Programming with PauWare engine 7. Programming the ""Internet of Things"" 8. Programming Web Enterprise Component Management 9. Software Component Management Appendix A. Internal Structure of PauWare Engine Appendix B. Acronyms Appendix C. Software References Author's Biography

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Book SynopsisTake your first step in building modern-day component-based web apps using the latest features and capabilities of React and TypeScript with this easy-to-follow guide Key Features Learn to use different React hooks with TypeScript Explore different styling approaches while building React web apps Gain experience in using React Dev Tools to debug components Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionReading, navigating, and debugging a large frontend codebase is a major issue faced by frontend developers. This book is designed to help web developers like you learn about ReactJS and TypeScript, both of which power large-scale apps for many organizations. This second edition of Learn React with TypeScript is updated, enhanced, and improved to cover new features of React 18 including hooks, state management libraries, and features of TypeScript 4. The book will enable you to create well-structured and reusable React components that are easy to read and maintain, leveraging modern design patterns. You’ll be able to ensure that all your components are type-safe, making the most of TypeScript features, including some advanced types. You’ll also learn how to manage complex states using Redux and how to interact with a GraphQL web API. Finally, you’ll discover how to write robust unit tests for React components using Jest. By the end of the book, you’ll be well-equipped to use both React and TypeScript.What you will learn Gain first-hand experience of TypeScript and its productivity features Understand how to transpile your TypeScript code into JavaScript for running in a browser Build a React frontend codebase with hooks Interact with REST and GraphQL web APIs Design and develop strongly typed reusable components Create automated component tests Who this book is forThis book is for experienced frontend developers looking to build large scale web applications using React and TypeScript. Intermediate knowledge of JavaScript, HTML and CSS is a prerequisite.Table of ContentsTable of Contents Introducing React Introducing TypeScript Setting Up React and TypeScript Using React Hooks Approaches to Styling React Frontends Routing with React Router Working with Forms State Management Interacting with RESTful APIs Interacting with GraphQL APIs Reusable Components Unit Testing with Jest and React Testing Library

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Book SynopsisDiscover how to use React Native in the real world, from scratch. This book shows you what React Native has to offer, where it came from, and where it''s going. You''ll begin with a solid foundation of practical knowledge, and then build on it immediately by constructing three different apps. You''ll learn how to use each feature of React Native by working on two full projects and one full game. These aren''t just simple React Native Hello World examples (although you''ll naturally start there!) but are apps that you can, if you so choose, install on your mobile devices and use for real. Throughout this book, you''ll gain real-world familiarity with React Native as well as supporting components from Expo, NativeBase, React Navigation and the Redux and Lodash libraries.  You''ll also build server-side code for a mobile React Native app to talk to using the popular Node.js and Socket.io library, providing you a holistic view ofTable of Contents 1. React Native: A Gentle Introduction 2. Getting to Know React Native 3. Restaurant Chooser, Part 1 4. Restaurant Chooser, Part 2 5. React Native Trivia, Part 1 6. React Native Trivia, Part 2 7. Time for Some Fun: A React Native Game, Part 1 8. Time for Some Fun: A React Native Game, Part 2

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Book SynopsisLearn how to use Next.js for building web apps without compromising performance, user experience, and developer happinessKey Features Develop scalable web applications using Next.js Use Next.js as a frontend for existing backends and e-commerce websites and understand how to implement it with any headless CMS Deploy Next.js on different platforms, such as Vercel, DigitalOcean, and AWS, or on your own server Book DescriptionNext.js is a scalable and high-performance React.js framework for modern web development and provides a large set of features, such as hybrid rendering, route prefetching, automatic image optimization, and internationalization, out of the box. If you are looking to create a blog, an e-commerce website, or a simple website, this book will show you how you can use the multipurpose Next.js framework to create an impressive user experience.Starting with the basics of Next.js, the book demonstrates how the framework can help you reach your development goals. You'll realize how versatile Next.js is as you build real-world applications with step-by-step explanations. This Next.js book will guide you in choosing the right rendering methodology for your website, securing it, and deploying it to different providers, all while focusing on performance and developer happiness.By the end of the book, you'll be able to design, build, and deploy modern architectures using Next.js with any headless CMS or data source.What you will learn Get up to speed with Next.js essentials and learn how to build apps quickly Understand how to create scalable Next.js architectures Choose between different rendering strategies, such as client-side rendering (CSR), static site generation (SSG), server-side rendering (SSR), and incremental static regeneration (ISR) Write unit tests and integration tests in your Next.js application Discover the powerful routing system and Next.js' built-in components Design and build modern architectures with Next.js using GraphCMS or any headless CMS Who this book is forThis book is for web developers who want to improve their React skills by building scalable and maintainable full-stack applications using the modern Next.js web framework. Intermediate-level knowledge of ES6+, React, Node.js, and REST is assumed.Table of ContentsTable of Contents A Brief Introduction to Next.js Exploring Different Rendering Strategies Next.js Basics and Built-In Components Organizing the Code Base and Fetching Data in Next.js Managing Local and Global States in Next.js CSS and Built-In Styling Methods Using UI Frameworks Using a Custom Server Testing Next.js Working with SEO and Managing Performance Different Deployment Platforms Managing Authentication and User Session Building an E-Commerce Website with Next.js and GraphCMS Example Projects and Next Steps for Learning More

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Book SynopsisGet a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers.

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Book SynopsisA Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning.Key Features Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python) Approaches ROS2 from three different but complementary dimensions: the Community, Computation Graph, and the Workspace Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup, and use A GitHub repository with code to assist readers It will appeal to motivated engineering students, engineers, and professionals working with robot programming.

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Book SynopsisThis comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems. Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, mini-projects and links to further F# sources.Trade Review'I found this to be an outstanding book on this hybrid language, F#, which can be profitably studied from various perspectives, from theoretical to highly pragmatic.' George Hacken, Computing ReviewsTable of Contents1. Getting started; 2. Values, operators, expressions, and functions; 3. Tuples, records, and tagged values; 4. Lists; 5. Collections: lists, maps, and sets; 6. Finite trees; 7. Modules; 8. Imperative features; 9. Efficiency; 10. Text processing programs; 11. Sequences; 12. Computation expressions; 13. Asynchronous and parallel computations.

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Book SynopsisWith this book, programmers who understand JavaScript at an intermediate level will learn how to master the TypeScript language to get rid of bugs and scale your code across 10x more engineers.

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Book SynopsisDevelop UI-heavy applications more easily, faster, and error-free. Based on several enhancements to the Swift language, SwiftUI takes a declarative approach to building UIs. Instead of imperatively coding the UI, this book will show you how to describe how you want your UI to look. SwiftUI treats the UI as a function of its state, thereby making managing your app''s state a lot easier. Change the underlying data model to redraw all parts of the UI that are connected to that particular slice of data. Likewise, easily update the underlying data model from the UI elements your data model is connected to. Combine is Apple''s Functional Reactive Programming framework. It complements SwiftUI and other frameworks, such as the networking APIs, in a natural way. Using Combine, you can subscribe to events and describe data processing in a way that is free of side effects. This allows for an easier implementation of event-driven applications.Using SwiftUI and Combine build more eTable of ContentsChapter 1: SwiftUI - A new Beginning Why a New UI framework? SwiftUI Principles Declarative vs Imperative State Management Composition over Inheritance Everything is a View UIs are a function of their state A quick tour of SwiftUI Creating a new app Anatomy of a SwiftUI app Two-way tooling Adding your first button Print “hello” to the console Explain live mode (need to turn on debug mode so you can see console output while in preview) A brief overview of statement management Use code editor and preview pane to update the “hello world” app to allow the user to give their name TextField, Label, (Button) @State to bind the TextField input Bind Label, so it gets updated automatically Run the app in live preview Chapter 2: Getting Started with SwiftUI○ Building Blocks Views View Modifiers Property Wrappers Simple UI Controls ■ Lists ■ Navigation○ Composing UIs from simple UI elements Building a list row Making it reusable extracting parts into separate structs / views using ViewBuilders (properties / functions) Chapter 3: SwiftUI Foundation Opaque return types Implicit returns from single-expression functions Function Builders View Builders Multiple Trailing Closures Domain Specific languages Property Wrappers The View Life Cycle Chapter 4: State ManagementManaging State with Property Wrappers ■ @State ■ @ObservableObject ■ @ObservedObject■ @StateObject■ @EnvironmentObject SwiftUI Patterns and State Management Pattern: Drill-Down Navigation Pattern: Input form Pattern: Lookup field Pattern: Local state in a single dialog View Lifecycle See Michael Long’s article Maybe even build some sort of introspector? Build my own debugging utilities Chapter 5: Building Input Forms Building simple formsBuild a simple form with a couple of simple input fields. Building advanced forms ■ Look-up fields ■ Drill-down ■ In-place editing (e.g. date picker) ■ Sections ■ Forms and Data Binding / State Management ■ Building a sign-up form ■ Username ■ Password / Repetition ■ Validation ■ Come up with a non-Combine version for the following rules: Do the passwords match? Password strong enough? Username long enough? Username still available? How to handle state? Chapter 6: Functional Reactive Programming and Combine Introduction to Functional Reactive Programming What is it? Why is it so cool / hot? How can it help to make your apps better and more error-free Core Combine Concepts ■ Publishers ■ Subscribers■ Operators Combine Visualised Marble Diagrams Show some Combine operators as Marble Diagrams Chapter 7: Combine and SwiftUI ○ Driving UI state○ Input validation using Combine verify that the passwords match verify username length verify username is still available verify password meets password complexity rules show error messages for the individual error conditions combine all the above into a single state that drives the enabled state of the sign-up button Optimise our code use debounce to throttle the number of calls on our fake backend ensure UI updates happen on the main thread (use receiveOn) Closure Combine makes our code more maintainable. It helps to decouple business logic from our UI This also makes our code more testable Chapter 8: Testing Combine Code Writing tests for asynchronous code Mocking parts of your implementation Some useful helpers Chapter 9: Advanced SwiftUI UIs ○ LazyVGrid / LazyHGrid ○ OutlinesChapter 10: Advanced SwiftUI - Building Reusable UI Components Keep it lean and mean Extracting functionality into sub-views Using ViewBuilders to organise view code within a screen Creating Container Components Making your views customisable Packaging your components using Swift Package Manager Integrating views and view modifiers with the Xcode library Chapter 11: Building a Complete App with SwiftUI and Combine Features of the app Data Model OpenLibrary API Firebase Chapter 12: Displaying a list of books Building a list cell from simple UI views Compose a list view Make your code reusable Chapter 13: Implementing a search screen○ Implementing a re-usable search bar Designing the UI Data Binding and State Management Making the view re-usable ○ Connecting to the OpenLibrary API Searching book titles Using Combine to improve working with the API Debounce Mapping JSON Data Error handling Automatic retries Chapter 14: Drill-Down Navigation and State Management ○ Implementing a book details / edit screen ○ Drill-down navigation pattern Chapter 15: Persisting Data in Firestore What is Firebase? What is Firestore? NoSQL ■ Real-time Sync Mapping our data model to Firestore Reading and writing data from / to Firestore Implementing Combine Publishers for Firestore Chapter 16: App Store Hero Animation Magic Move SwiftUI Magic Move Animations Explain how they work Transition the current list view to make use of animations Distribute your code Appendix A: An Overview of all SwiftUI Views

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Book SynopsisA Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning.Key Features Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python) Approaches ROS2 from three different but complementary dimensions: the Community, Computation Graph, and the Workspace Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup, and use A GitHub repository with code to assist readers It will appeal to motivated engineering students, engineers, and professionals working with robot programming.

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Book SynopsisThis book provides an introduction to concurrent, real-time, distributed programming with Java object-oriented language support as an algorithm description tool. It describes in particular the mechanisms of synchronization (cooperative and competitive) and sharing of data (internal class, static variables) between threads in Java. He then discusses the use of Java for real-time applications. Consequently, a presentation of the RTSJ (Real Time Specification for Java) specification dedicated to the development of real-time applications in Java is also introduced in this book. Finally, a presentation of programming distributed in Java is presented in this book. We are particularly interested in communication using the TCP Sockets and high-level communication using Java Remote Method Invocation (RMI). The book also contains an annex which contains a practical set of application exercises in relation to the theme of the book. Knowledge of the Java language is a prerequisite for understanding the book.Table of Contents1. Introduction to threads in Java. 2. Threads Synchronization. 3. Real-time systems and real-time Java. 4. Distributed Programming in Java.

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Book SynopsisThis text develops a comprehensive theory of programming languages based on type systems and structural operational semantics. Language concepts are precisely defined by their static and dynamic semantics, presenting the essential tools both intuitively and rigorously while relying on only elementary mathematics. These tools are used to analyze and prove properties of languages and provide the framework for combining and comparing language features. The broad range of concepts includes fundamental data types such as sums and products, polymorphic and abstract types, dynamic typing, dynamic dispatch, subtyping and refinement types, symbols and dynamic classification, parallelism and cost semantics, and concurrency and distribution. The methods are directly applicable to language implementation, to the development of logics for reasoning about programs, and to the formal verification language properties such as type safety. This thoroughly revised second edition includes exercises at theTrade ReviewReview of previous edition: 'Harper's book provides a comprehensive treatment of the foundations of computation. He touches on a surprising range of concepts that arise in language design: from simple types to polymorphism to dependent types to modules; from strict to lazy to parallel computation; and from proof techniques for reasoning about extensional behavior to practical, compositional cost models in the presence of garbage collection. More importantly, throughout the book he uses types and the principles of type theory to organize the material and help us discover the orthogonal, composable abstractions that arise naturally not only in the design of programming languages but also in logics and mathematics. This approach helps uncover the fundamental structure lurking inside programming languages of today, and provides a principled approach to the designs for tomorrow.' Greg Morrisett, Cornell University, New YorkReview of previous edition: 'Starting with a mathematically simple framework and organizing principles that give type systems a central role, Bob Harper's magnum opus reveals the theory of programming languages as a coherent scientific subject with both breadth and elegance. His enormous experience, pithy views, and great good taste are evident throughout a book that deserves to become a classic.' Andrew Pitts, University of CambridgeReview of previous edition: 'This book offers an excellent introduction to a wide range of programming language concepts. They are all uniformly and carefully explained, using techniques that are very useful in practice for both analysis and implementation of programming languages. The book is authored by one of the most prominent researchers in type theory for programming languages. The presentation is very effective and based on the author's years of experience teaching the material.' Lars Birkedal, IT University of CopenhagenTable of Contents1. Judgment and rules; 2. Statics and dynamics; 3. Total functions; 4. Finite data types; 5. Types and propositions; 6. Infinite data types; 7. Variable types; 8. Partiality and recursive types; 9. Dynamic types; 10. Subtyping; 11. Dynamic dispatch; 12. Control flow; 13. Symbolic data; 14. Mutable state; 15. Parallelism; 16. Concurrency and distribution; 17. Modularity; 18. Equational reasoning; 19. Appendices.

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Book SynopsisFunctional Programming in Kotlin is a reworked version of the bestselling Functional Programming in Scala, with all code samples, instructions, and exercises translated into the powerful Kotlin language. In this authoritative guide, you’ll take on the challenge of learning functional programming from first principles, and start writing Kotlin code that’s easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. about the technologyKotlin is a new JVM language designed to interoperate with Java and offer an improved developer experience for creating new applications. It’s already a top choice for writing web services, and Android apps. Although it preserves Java’s OO roots, Kotlin really shines when you adopt a functional programming mindset. By learning the core principles and practices of functional programming outlined in this book, you’ll start writing code that’s easier to read, easier to test and reuse, better for concurrency, and less prone to bugs. about the book Functional Programming in Kotlin is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. Based on the bestselling Functional Programming in Scala, this book guides intermediate Java and Kotlin programmers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming. The book will deliver practical mastery of FP using Kotlin and a valuable perspective on program design that you can apply to other languages. what's inside Functional programming techniques for real-world applications Write combinator libraries Identify common structures and idioms in functional design Code for simplicity, modularity, and fewer bugs about the readerFor intermediate Kotlin and Java developers. No experience with functional programming is required. about the author Marco Vermeulen has almost two decades of programming experience on the JVM, with much of that time spent on functional programming using Scala and Kotlin. Rúnar Bjarnason and Paul Chiusano are the authors of Functional Programming in Scala, on which this book is based. They are internationally-recognized experts in functional programming and the Scala programming language.

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Book Synopsis1. Introduction to Concurrent Programming.- 2. Algorithms and Process Synchronization Mechanisms Based on Shared Memory.- 3. Message-Based Systems.- 4. Real-Time Systems.

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Book SynopsisRecursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly. Despite the importance of recursion for algorithm design, most programming books do not cover the topic in detail, despite the fact that numerous computer programming professors and researchers in the field of computer science education agree that recursion is difficult for novice students. Introduction to Recursive Programming provides a detailed and comprehensive introduction to recursion. This text will serve as a useful guide for anyone who wants to learn how to think and program recursively, by analyzing a wide variety of computational problems of diverse difficulty.It contains specific chapters on the most common types of recursion (linear, tail, and multiple), as well as on algorithm design paradigms in which recursion is prevalent (divide and conquer, and backtracking). Therefore, it can be used in introductory programming courses, and in more advanced classes on algorithm design. The book also covers lower-level topics related to iteration and program execution, and includes a rich chapter on the theoretical analysis of the computational cost of recursive programs, offering readers the possibility to learn some basic mathematics along the way.It also incorporates several elements aimed at helping students master the material. First, it contains a larger collection of simple problems in order to provide a solid foundation of the core concepts, before diving into more complex material. In addition, one of the book's main assets is the use of a step-by-step methodology, together with specially designed diagrams, for guiding and illustrating the process of developing recursive algorithms. Furthermore, the book covers combinatorial problems and mutual recursion. These topics can broaden students' understanding of recursion by forcing them to apply the learned concepts differently, or in a more sophisticated manner.The code examples have been written in Python 3, but should be straightforward to understand for students with experience in other programming languages. Finally, worked out solutions to over 120 end-of-chapter exercises are available for instructors. Trade ReviewRecursion is a fundamental topic in computer science, but one that is frequently taught in a fragmented way as part of an introductory course and then set aside for such electives as discrete programming and difference equations. Rubio-Sánchez (Universidad Rey Juan Carlos, Spain) believes that there are better ways to approach a concept so powerfully connected to computation. His book provides a comprehensive and approachable treatment of recursive programming. The text contains mathematical proofs, as well as clear methods that students can follow to derive new results and expand their knowledge in areas the book may not cover. Many of the fundamental problems that recursion can solve are presented and discussed; more advanced problems are addressed through decomposition and analysis. The book also contains a section on algorithm analysis, which helps form the basis for more advanced material on computational complexity. This book is useful as a textbook for introductory programming courses when an instructor adopts a more fundamental approach than imperative programming, but it can also serve as a useful reference for those who wish to explore recursive programming on their own, or for algorithm designers in the industry.--L. Benedicenti, University of New Brunswick (CHOICE)Recursion is a fundamental topic in computer science, but one that is frequently taught in a fragmented way as part of an introductory course and then set aside for such electives as discrete programming and difference equations. Rubio-Sánchez (Universidad Rey Juan Carlos, Spain) believes that there are better ways to approach a concept so powerfully connected to computation. His book provides a comprehensive and approachable treatment of recursive programming. The text contains mathematical proofs, as well as clear methods that students can follow to derive new results and expand their knowledge in areas the book may not cover. Many of the fundamental problems that recursion can solve are presented and discussed; more advanced problems are addressed through decomposition and analysis. The book also contains a section on algorithm analysis, which helps form the basis for more advanced material on computational complexity. This book is useful as a textbook for introductory programming courses when an instructor adopts a more fundamental approach than imperative programming, but it can also serve as a useful reference for those who wish to explore recursive programming on their own, or for algorithm designers in the industry.--L. Benedicenti, University of New Brunswick (CHOICE)Table of ContentsBasic Concepts of Recursive Programming. Methodology for Recursive Thinking. Runtime Analysis of Recursive Algorithms. Linear Recursion I. Linear Recursion II: Tail Recursion. Multiple Recursion I: Divide and Conquer. Multiple Recursion II: Puzzles and Fractals. Counting Problems. Mutual Recursion. Program Execution. Tail Recursion Revisited and Nested Recursion. Backtracking

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Book SynopsisFuture-proof your applications with best practices and design patterns in KotlinKey Features Understand traditional and modern design patterns to improve the design of your application Combine the benefits of object-oriented, functional, reactive, and concurrent programming Choose the best microservices architecture and frameworks for your web application Book DescriptionThis book shows you how easy it can be to implement traditional design patterns in the modern multi-paradigm Kotlin programming language, and takes you through the new patterns and paradigms that have emerged. This second edition is updated to cover the changes introduced from Kotlin 1.2 up to 1.5 and focuses more on the idiomatic usage of coroutines, which have become a stable language feature. You'll begin by learning about the practical aspects of smarter coding in Kotlin, as well as understanding basic Kotlin syntax and the impact of design patterns on your code. The book also provides an in-depth explanation of the classical design patterns, such as Creational, Structural, and Behavioral families, before moving on to functional programming. You'll go through reactive and concurrent patterns, and finally, get to grips with coroutines and structured concurrency to write performant, extensible, and maintainable code. By the end of this Kotlin book, you'll have explored the latest trends in architecture and design patterns for microservices. You'll also understand the tradeoffs when choosing between different architectures and make informed decisions. What you will learn Implement all the classical design patterns using the Kotlin programming language Apply reactive and concurrent design patterns to make your application more scalable Discover best practices in Kotlin and explore its new features Understand the key principles of functional programming and learn how they apply to Kotlin Find out how to write idiomatic Kotlin code and learn which patterns to avoid Harness the power of Kotlin to design concurrent and reliable systems with ease Create an effective microservice with Kotlin and the Ktor framework Who this book is forThis book is for developers who want to apply design patterns they've learned from other languages in Kotlin and build reliable, scalable, and maintainable applications. You'll need a good grasp on at least one programming language before you get started with this book. Java or design patterns will be particularly useful, but you'll still be able to follow along if you code in other languages.Table of ContentsTable of Contents Getting Started with Kotlin Working with Creational Patterns Understanding Structural Patterns Getting Familiar with Behavioral Patterns Introducing Functional Programming Threads and Coroutines Controlling the Data Flow Designing for Concurrency Idioms and Anti-Patterns Concurrent Microservices with Ktor Reactive Microservices with Vert.x

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Book SynopsisElm brings the safety and stability of functional programing to front-end development, making it one of the most popular new languages. Elm's functional nature and static typing means that run-time errors are nearly impossible, and it compiles to JavaScript for easy web deployment. This book helps you take advantage of this new language in your web site development. Learn how the Elm Architecture will help you create fast applications. Discover how to integrate Elm with JavaScript so you can update legacy applications. See how Elm tooling makes deployment quicker and easier. Functional programming offers safer applications with decreased runtime errors, but functional solutions that are type safe and easy to use have been hard to find, until the Elm language. Elm has the benefits of functional languages while compiling to JavaScript. This book provides a complete tutorial for the Elm language, starting with a simple static application that introduces Elm syntax, modules, and the virtual DOM, to exploring how to create a UI using functions. See how Elm handles the issues of state in functional languages. You'll continue to build up larger applications involving HTTP requests for communication. Integrate your Elm applications with JavaScript so you can update legacy applications or take advantage of JavaScript resources. Elm also provides built-in tooling to alleviate the tooling creep that's so common in JavaScript. This book covers Elm's deployment and testing tools that ease development confusion. Dive into advanced concepts including creating single-page applications, and creating performance improvements. Elm expert Jeremy Fairbank brings his years of web development experience to teaching how to use Elm for front-end development. Your web UIs will be faster, safer, and easier to develop with Elm and this tutorial. What You Need: You will need the latest version of Elm, 0.18, along with a browser to run the examples in this book.

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Book Synopsis 　 DESCRIPTION Modern distributed applications must deliver near-realtime performance while simultaneously managing big data and high user loads spread across environments ranging from cloud systems to mobile devices. Unlike traditional enterprise applications which focus on decoupling their internal components by defining programming interfaces, reactive applications go one step further and decouple their components also at runtime. This makes it possible to react effectively and efficiently to failures, varying user demands, and changes in the application's execution environment. The resulting systems are highly concurrent and fault-tolerant, with minimal dependencies among individual system components. Reactive Design Patterns is a clearly-written guide for building message-driven distributed systems that are resilient, responsive, and elastic. It contains patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka—in some cases, Java, JavaScript, and Erlang. Software engineers and architects will learn patterns that address day-to-day distributed development problems in a fault-tolerant and scalable way. Project leaders and CTOs will gain a deeper understanding of the reactive design philosophy. KEY FEATURES Offers best patterns for building reactive applications All patterns include concrete examples Discover best practices Explains theory behind reactive system design principles AUDIENCE Readers should be familiar with a standard programming language like Java, C++ or C# and be comfortable with the basics of distributed systems. Although most of the book's examples use the Scala language, no prior experience with Scala or Akka is required. ABOUT THE TECHNOLOGY The design patterns in this book were collected by the consultants and engineers of Typesafe during thousands of hours spent building enterprise-quality applications using Scala and Akka. Although many reactive patterns can be implemented using standard development tools like Java, others require the capabilities offered by a functional programming language like Scala and an Actor-based concurrency system like Akka.

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Book SynopsisLearn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.

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Book SynopsisHelps Students Understand Mathematical Programming Principles and Solve Real-World ApplicationsSupplies enough mathematical rigor yet accessible enough for undergraduatesIntegrating a hands-on learning approach, a strong linear algebra focus, Maple software, and real-world applications, Linear and Nonlinear Programming with Maple: An Interactive, Applications-Based Approach introduces undergraduate students to the mathematical concepts and principles underlying linear and nonlinear programming. This text fills the gap between management science books lacking mathematical detail and rigor and graduate-level books on mathematical programming. Essential linear algebra toolsThroughout the text, topics from a first linear algebra course, such as the invertible matrix theorem, linear independence, transpose properties, and eigenvalues, play a prominent role in the discussion. TheTable of ContentsLINEAR PROGRAMMING: An Introduction to Linear Programming. The Simplex Algorithm. Standard Applications of Linear Programming. Duality and Sensitivity Analysis. Integer Linear Programming. NONLINEAR PROGRAMMING: Algebraic Methods for Unconstrained Problems. Numeric Tools for Unconstrained Nonlinear Problems. Methods for Constrained Nonlinear Problems. Appendices. Bibliography. Index.

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Book SynopsisWhy learn F#? This multiparadigm language not only offers you an enormous productivity boost through functional programming, it also lets you develop applications using your existing object-oriented and imperative programming skills.

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Book SynopsisDive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go.  Free source code is avaTable of Contents1: Architectural Layers2: Overview of the Go Language3: Socket-Level Programming4: Data Serialization5: Application-Level Protocols6: Managing Character Sets and Encodings7: Security8: HTTP9: Templates10: A Complete Web Server11: HTML12: XML13: Remote Procedure Call14: REST15: WebSockets16: Gorilla17: TestingAppendix A: FuzzingAppendix B: Generics

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Book SynopsisBuild stylish, slick, and speedy-to-load user interfaces in React without writing custom classes. React Hooks are a new category of functions that help you to manage state, lifecycle and side effects within functional components. React Hooks in Action teaches you to use pre-built hooks like useState, useReducer and useEffect, and to build your own hooks. Your code will be more reusable, require less boilerplate, and you’ll instantly be a more effective React developer. About the technology React Hooks promise to make React programmers even more productive. Hooks are a collection of pre-built and custom functions that give you a simpler API for working with key React functionalities. Hooks cleanly encapsulate side effects, make it easier to reuse components between projects, and result in less code overall. These new features represent a fundamental evolution in how the React library functions, so even experienced React developers will want to get up to speed with Hooks. About the book React Hooks in Action shows you how to use Hooks to make your codebase simpler and more reusable, and your applications faster and more responsive. You’ll build a resource booking example application chapter by chapter, learning how to develop components with local, shared, and application states. You’ll discover different approaches to data fetching, including using Concurrent Mode and Suspense to improve user experience, and explore third party hooks in the evolving React ecosystem. What's inside Create a Redux store and interact with it via Hooks Use code-splitting to improve the responsiveness of your apps Build functional components that can update their own state Manage component side effects Use the React Suspense API to improve the user experience of page and data loading About the reader For front-end web developers experienced with React. About the author John Larsen is the author of Get Programming with JavaScript. He was a mathematics and computing teacher for 25 years. He has an MA in mathematics and an MSc in information technology, and an ongoing interest in educational research. A web developer since 2000, he uses JavaScript end-to-end for server-side and client-side programming.

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Book SynopsisThe days of the traditional request-response web application are long gone, but you don't have to wade through oceans of JavaScript to build the interactive applications today's users crave. The innovative Phoenix LiveView library empowers you to build applications that are fast and highly interactive, without sacrificing reliability. This definitive guide to LiveView isn't a reference manual. Learn to think in LiveView. Write your code layer by layer, the way the experts do. Explore techniques with experienced teachers to get the best possible performance. Instead of settling for traditional manuals and tutorials, get insights that can only be learned from experience. Start with the Elixir language techniques that effortlessly marry your client templates and server-side handlers. Design your systems with the right layers in the right places so that your code is easier to understand, change, and support. Explore features like multi-part uploads and learn how to comprehensively test your live views. Roll into advanced techniques to tie your code to other services through the powerful publish-subscribe interface. LiveView brings the most important programming techniques from the popular Elm and JavaScript React frameworks to Elixir. You'll experience firsthand how to harness that power by working side by side with some of the first LiveView users. You will write your programs to change data on the server, and you'll see how LiveView efficiently detects those changes and reflects them on the web page. Start from scratch, use built-in generators, and craft reusable components. Your single-purpose reducers will transform server data that your renderers can turn into efficient client-side diffs. Don't settle for knowing how things work. To get the most out of LiveView, you need to know why they work that way. Co-authored by one of the most prolific authors and teachers in all of Elixir, this book is your perfect guide to one of the most important new frameworks of our generation. What You Need: Programming Phoenix LiveView uses Phoenix version 1.5, and any Elixir version compatible with it. You will also want PostgreSQL and JavaScript Node.

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Book SynopsisLearn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data.The book's four parts teach: Core knowledge of R and programming concepts How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation Essentials of probability, random variables, and expectation required to understand simulation Stochastic modelling and simulation, including random number generation and Monte Carlo integration Trade Review"The Introduction to Scientific Programming and Simulation Using R (2nd Edition) is a useful and well organized book. The writing is orderly, logical, consistent, intriguing, and engaging. We have read many programming and simulation oriented books that vary in context, scope, and difficulty level. This one turned out to be one of our favorites. It stands out in the sense that a decent dose of theory is given in addition to the programming related aspects. It covers an immense amount of material, yet manages to do so both thoroughly and clearly."~Hakan Demirtas, Rachel Nordgren, University of Illinois at Chicago"Computation has become so central to the field of statistics that any practicing statistician must have a basic understanding of scientific programming and stochastic modeling. Introduction to Scientific Programming and Simulation Using R provides an excellent entry-level text on the subject. This is a well written and well-designed book that will appeal to a wide readership and prove useful for several different types of courses. It provides a very good introduction to programming using the R language that has become widely used in statistical education and practice. It also introduces the fundamental tools needed for stochastic modeling: numerical analysis, probability, and simulation.~Christopher H. Schmid, Journal of the American Statistical AssociationPraise for the First Edition:"Overall, the authors have produced a highly readable text. As prerequisites do not go beyond first-year calculus, the book should appeal to a wide audience; it should also be eminently suitable for self-study. On a somewhat larger scale, it may help to further establish R as a kind of Swiss Army knife for computational science. I strongly recommend it."~C. Kleiber, Universität Basel, Basel, Switzerland, in Statistical Papers, March 2012"This book is a good resource for someone who wants to learn R and use R for statistical computing and graphics. It will also serve well as a textbook or a reference book for students in a course related to computational statistics."~Hon Keung Tony Ng, Technometrics, May 2011"… a very coherent and useful account of its chosen subject matter. … The programming section … is more comprehensive than Braun & Murdoch (2007), but more accessible than Venables & Ripley (2000). … The book deserves a place on university library shelves … One very useful feature of the book is that nearly every chapter has a set of exercises. There are also plenty of well-chosen examples throughout the book that are used to explain the material. I also appreciated the clear and attractive programming style of the R code presented in the book. I found very little in the way of typos or solecisms. … I can strongly recommend the book for its intended audience. If I ever again have to teach our stochastic modelling course, I will undoubtedly use some of the exercises and examples from Scientific Programming and Simulation Using R."~David Scott, Australian & New Zealand Journal of Statistics, 2011"It is not often that I think that a statistics text is one that most scientifc statisticians should have in their personal libraries. Introduction to Scientific Programming and Simulation Using R is such a text. … This text provides scientific researchers with a working knowledge of R for both reviewing and for engaging in the statistical evaluation of scientific data. …It is particularly useful for understanding and developing modeling and simulation software. I highly recommend the text, finding it to be one of the most useful books I have read on the subject."—Journal of Statistical Software, September 2010, Volume 36"The authors have written an excellent introduction to scientific programming with R. Their clear prose, logical structure, well-documented code and realistic examples made the book a pleasure to read. One particularly useful feature is the chapter of cases studies at the end, which not only demonstrates complete analyses but also acts as a pedagogical tool to review and integrate material introduced throughout the book. … I would strongly recommend this book for readers interested in using R for simulations, particularly for those new to scientific programming or R. It is also very student-friendly and would be suitable either as a course textbook or for self-study."—Significance, September 2009"I think that the techniques of scientific programming presented will soon enable the novice to apply statistical models to real-world problems. The writing style is easy to read and the book is suitable for private study. If you have never read a book on scientific programming and simulation, then I recommend that you start with this one."—International Statistical Review, 2009"The Introduction to Scientific Programming and Simulation Using R (2nd Edition) is a useful and well organized book. The writing is orderly, logical, consistent, intriguing, and engaging. We have read many programming and simulation oriented books that vary in context, scope, and difficulty level. This one turned out to be one of our favorites. It stands out in the sense that a decent dose of theory is given in addition to the programming related aspects. It covers an immense amount of material, yet manages to do so both thoroughly and clearly."~Hakan Demirtas, Rachel Nordgren, University of Illinois at Chicago"Computation has become so central to the field of statistics that any practicing statistician must have a basic understanding of scientific programming and stochastic modeling. Introduction to Scientific Programming and Simulation Using R provides an excellent entry-level text on the subject. This is a well written and well-designed book that will appeal to a wide readership and prove useful for several different types of courses. It provides a very good introduction to programming using the R language that has become widely used in statistical education and practice. It also introduces the fundamental tools needed for stochastic modeling: numerical analysis, probability, and simulation.~Christopher H. Schmid, Journal of the American Statistical AssociationPraise for the First Edition:"Overall, the authors have produced a highly readable text. As prerequisites do not go beyond first-year calculus, the book should appeal to a wide audience; it should also be eminently suitable for self-study. On a somewhat larger scale, it may help to further establish R as a kind of Swiss Army knife for computational science. I strongly recommend it."~C. Kleiber, Universität Basel, Basel, Switzerland, in Statistical Papers, March 2012"This book is a good resource for someone who wants to learn R and use R for statistical computing and graphics. It will also serve well as a textbook or a reference book for students in a course related to computational statistics."~Hon Keung Tony Ng, Technometrics, May 2011"… a very coherent and useful account of its chosen subject matter. … The programming section … is more comprehensive than Braun & Murdoch (2007), but more accessible than Venables & Ripley (2000). … The book deserves a place on university library shelves … One very useful feature of the book is that nearly every chapter has a set of exercises. There are also plenty of well-chosen examples throughout the book that are used to explain the material. I also appreciated the clear and attractive programming style of the R code presented in the book. I found very little in the way of typos or solecisms. … I can strongly recommend the book for its intended audience. If I ever again have to teach our stochastic modelling course, I will undoubtedly use some of the exercises and examples from Scientific Programming and Simulation Using R."~David Scott, Australian & New Zealand Journal of Statistics, 2011"It is not often that I think that a statistics text is one that most scientifc statisticians should have in their personal libraries. Introduction to Scientific Programming and Simulation Using R is such a text. … This text provides scientific researchers with a working knowledge of R for both reviewing and for engaging in the statistical evaluation of scientific data. …It is particularly useful for understanding and developing modeling and simulation software. I highly recommend the text, finding it to be one of the most useful books I have read on the subject."—Journal of Statistical Software, September 2010, Volume 36"The authors have written an excellent introduction to scientific programming with R. Their clear prose, logical structure, well-documented code and realistic examples made the book a pleasure to read. One particularly useful feature is the chapter of cases studies at the end, which not only demonstrates complete analyses but also acts as a pedagogical tool to review and integrate material introduced throughout the book. … I would strongly recommend this book for readers interested in using R for simulations, particularly for those new to scientific programming or R. It is also very student-friendly and would be suitable either as a course textbook or for self-study."—Significance, September 2009"I think that the techniques of scientific programming presented will soon enable the novice to apply statistical models to real-world problems. The writing style is easy to read and the book is suitable for private study. If you have never read a book on scientific programming and simulation, then I recommend that you start with this one."—International Statistical Review, 2009Table of ContentsProgramming. Numerical Techniques. Probability and Statistics. Simulation. Glossary of R Commands. Programs and Functions Developed in the Text. Index.

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Book SynopsisR Programming for Actuarial Science Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R Programming for Actuarial Science, readers will find: Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth. Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses. More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles. An overall basic to intermediate level of coverage in respect of numerous actuTable of ContentsAbout the Companion Website xxi Introduction 1 1 R : What You Need to Know to Get Started 9 2 Functions in R 33 3 Financial Mathematics (1): Interest Rates and Valuing Cashflows 45 4 Financial Mathematics (2): Miscellaneous Examples 63 5 Fundamental Statistics: A Selection of Key Topics -- Dr A Kume 87 6 Multivariate Distributions, and Sums of Random Variables 139 7 Benefits of Diversification 147 8 Modern Portfolio Theory 155 9 Duration -- A Measure of Interest Rate Sensitivity 171 10 Asset-Liability Matching: An Introduction 177 11 Hedging: Protecting Against a Fall in Equity Markets 187 12 Immunisation -- Redington and Beyond 195 13 Copulas 211 14 Copulas -- A Modelling Exercise 237 15 Bond Portfolio Valuation: A Simple Credit Risk Model 247 16 The Markov 2-State Mortality Model 259 17 Approaches to Fitting Mortality Models: The Markov 2-state Model and an Introduction to Splines 273 18 Assessing the Suitability of Mortality Models: Statistical Tests 295 19 The Lee-Carter Model 311 20 The Kaplan-Meier Estimator 329 21 Cox Proportionate Hazards Regression Model 339 22 Markov Multiple State Models: Applications to Life Contingencies 351 23 Contingencies I 383 24 Contingencies II 403 25 Actuarial Risk Theory -- An Introduction: Collective and Individual Risk Models 447 26 Collective Risk Models: Exercise 473 27 Generalised Linear Models: Poisson Regression 481 28 Extreme Value Theory 501 29 Introduction to Machine Learning: k-Nearest Neighbours (kNN) 513 30 Time Series Modelling in R -- Dr A Kume 523 31 Volatility Models -- GARCH 551 32 Modelling Future Stock Prices Using Geometric Brownian Motion: An Introduction 571 33 Financial Options: Pricing, Characteristics, and Strategies 585 Index 605

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Book SynopsisDonis Marshall has more than twenty years of experience in designing and building enterprise software with Microsoft technologies for leading companies in multiple industries. An endorsed trainer for Microsoft Global Learning Services, he has trained Microsoft developers and engineers for many years. His Microsoft Press books include Solid Code and Programming Microsoft Visual C#. Table of ContentsChapter 1: Introduction to Rust 1 Introduction 1 Features 4 Rust Terminology 6 Tools 7 Summary 8 Chapter 2: Getting Started 9 Preliminaries 9 Rust and Windows 10 Installing Rust 10 Advanced Rustup 11 “Hello, World” 11 Compile and Run 12 Cargo 13 Library 15 Comments 17 Published Crates 20 Main Function 21 Command-Line Arguments 22 Summary 23 Chapter 3: Variables 25 Terminology 25 Variables 26 Primitives 26 Integer Types 27 Overflow 28 Notations 29 Floating Point Types 30 Floating Point Constants 30 Infinity 31 NaN 31 Numeric Ranges 32 Casting 33 Boolean Types 34 Char 34 Pointers 35 Operators 37 Summary 40 Chapter 4: Strings 41 Str 41 String 42 Length 43 Extending a String 44 Capacity 45 Accessing a String Value 46 String Characters 48 Deref Coercion 48 Formatted String 49 Helpful Functions 49 Summary 52 Chapter 5: Console 53 Print 53 Positional Arguments 54 Variable Arguments 55 Named Arguments 55 Padding, Alignment, and Precision 56 Base 58 Developer Facing 59 Write! Macro 60 Display Trait 60 Debug Trait 62 Format! Macro 63 Console Read and Write 63 Summary 64 Chapter 6: Control Flow 65 The if Expression 65 The while Expression 68 The for Expression 70 The loop Expression 73 The Iterator Trait 76 Summary 78 Chapter 7: Collections 79 Arrays 79 Vectors 86 HashMap 91 Summary 95 Chapter 8: Ownership 97 Stack and Heap Memory 98 Shallow versus Deep Copy 98 Car Analogy 99 Move Semantics 99 Borrow 101 Copy Semantics 101 Clone Trait 102 Copy Trait 103 Clone Trait 104 Summary 105 Chapter 9: Lifetimes 107 Introduction to Lifetimes 108 Function Headers and Lifetimes 109 Lifetime Annotation 111 Lifetime Elision 112 Complex Lifetimes 113 Sharing a Lifetime 114 Static Lifetimes 115 Structs and Lifetimes 116 Methods and Lifetimes 116 Subtyping Lifetimes 118 Anonymous Lifetimes 120 Generics and Lifetimes 121 Summary 121 Chapter 10: References 123 Declaration 124 Borrowing 124 Dereferencing 125 Comparing References 126 Reference Notation 127 Reference to Reference 128 Mutability 129 Limits to Multiple Borrowers 130 Summary 131 Chapter 11: Functions 133 Function Definition 133 Parameters 134 Function Return 136 Const Functions 138 Nested Functions 139 Function Pointers 140 Function Aliases 142 Summary 143 Chapter 12: Error Handling 145 Handling Error Handling 145 The Result Enum 146 The Option Enum 147 Panics 148 Unwrapping 154 Match Pattern for Result and Option 156 Map 158 Rich Errors 160 Custom Errors 161 Summary 163 Chapter 13: Structures 165 Alternate Initialization 167 Move Semantics 169 Mutability 170 Methods 170 Self 172 Associated Functions 173 Impl Blocks 174 Operator Overloading 175 Tuple Struct 179 Summary 180 Chapter 14: Generics 181 Generic Functions 182 Bounds 186 The where Clause 188 Structs 190 Associated Functions 194 Enums 195 Generic Traits 197 Explicit Specialization 200 Summary 205 Chapter 15: Patterns 207 Let Statement 207 Wildcards 208 Complex Patterns 209 Ownership 210 Irrefutable 212 Ranges 213 Multiple Patterns 214 Control Flow 215 Structs 216 Functions 219 Match Expressions 220 Match Guards 224 Summary 227 Chapter 16: Closures 229 “Hello, World” 229 Closure Syntax 230 Closed Over 231 Closures as Function Arguments 233 Closures as Function Return Values 234 Implementation of Closures 235 Matrix Example 242 Summary 244 Chapter 17: Traits 245 Trait Definition 245 Default Functions 248 Marker Trait 249 Associated Functions 249 Associated Types 251 Extension Methods 253 Fully Qualified Syntax 254 Supertraits 257 Static Dispatch 260 Dynamic Dispatch 262 Enums and Traits 263 Summary 265 Chapter 18: Threads 1 267 Synchronous Function Calls 268 Threads 269 The Thread Type 273 Processor Time 274 Builder 275 Communicating Sequential Process 276 Asynchronous Channel 277 Synchronous Channel 279 Rendezvous Channel 280 The try Methods 281 Store Example 286 Summary 290 Chapter 19: Threads 2 291 Mutex 291 Nonscoped Mutex 294 Mutex Poisoning 296 Reader-Writer Lock 297 Condition Variables 299 Atomic Operations 301 Summary 305 Chapter 20: Memory 307 Stacks 307 Static Values 309 The Heap 310 Interior Mutability 312 RefCell 316 OnceCell 318 Summary 319 Chapter 21: Macros 321 Tokens 322 Declarative Macros 323 Repetition 325 Multiple Macro Matchers 327 Procedural Macros 328 Derive Macros 329 Attribute Macros 332 Function-Like Macros 334 Summary 335 Chapter 22: Interoperability 337 Foreign Function Interface 337 Basic Example 339 Libc Crate 341 Structs 342 Bindgen 346 C Calling Rust Functions 347 Cbindgen 348 Summary 351 Chapter 23: Modules 353 Module Items 354 Module Files 358 The path Attribute 360 Functions and Modules 361 The crate, super, and self Keywords 362 Legacy Model 363 Summary 365 Index 367

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