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Möchten Sie sauberen, wartbaren und eleganten Code schreiben? Dann lernen Sie das Paradigma der funktionalen Programmierung kennen! Tauchen Sie in eine neue Denkweise ein und schreiben Sie eleganten Code auf die funktionale Art. Code, der sich in Ihren Anwendungen nutzen lässt, auch wenn Sie objektorientiert erstellt sind. Es kommt nicht darauf an, in welcher Programmiersprache Sie schreiben. Die meisten Codebeispiele in diesem Buch sind in leicht verständlichem Scala formuliert und außerdem in Python übersetzt. Der Autor geht außerdem auf sprachabhängige Aspekte ein und zeigt dazu auch Codebeispiele in Java, JavaScript und C#. Für Python-Liebhaber gibt es in der deutschen Ausgabe ein Special mit Python-Codebeispielen und zusätzlichen Tipps, um das Buch ganz im „Python-Modus“ lesen zu können.Aus dem Inhalt:Die Denkweise kennenlernenEin paar einfache mathematische GrundlagenEntwurfsmusterDatenstrukturenUnveränderlichkeitNebenläufigkeitKombination mit OOPBesonderheiten verschiedener ProgrammiersprachenPython-Special

A Practical Guide to Better, Cleaner Code with Functional Programming In Functional Design, renowned software engineer Robert C. Martin ('Uncle Bob') explains how and why to use functional programming to build better systems for real customers. Martin compares conventional object-oriented coding structures in Java to those enabled by functional languages, identifies the best roles for each, and shows how to build better systems by judiciously using them in context. Martin's approach is pragmatic, minimizing theory in favor of'in the-trenches'problem-solving. Through accessible examples, working developers will discover how the easy-to-learn, semantically rich Clojure language can help them improve code cleanliness, design, discipline, and outcomes. Martin examines well-known SOLID principles and Gang of Four Design Patterns from a functional perspective, revealing why patterns remain extremely valuable to functional programmers, and how to use them to achieve superior results. Understand functional basics: immutability, persistent data, recursion, iteration, laziness, and statefulness Contrast functional and object approaches through expertly crafted case studies Explore functional design techniques for data flow Use classic SOLID principles to write better Clojure code Master pragmatic approaches to functional testing, GUIs, and concurrency Make the most of design patterns in functional environments Walk through building an enterprise-class Clojure application'Functional Design exudes'classic-on-arrival'. Bob pulls back the curtain to reveal how functional programming elements make software design simple yet pragmatic. He does so without alienating experienced object-oriented programmers coming from languages like C#, C++, or Java.'--Janet A. Carr, Independent Clojure Consultant Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

After decades of relative obscurity, functional programming is finally coming into its own. With concise, easy-to-read code that supports asynchronous, concurrent processing, aspects of functional programming have begun to appear in several traditionally object-oriented languages such as C# and Java. This practical book shows C# programmers how to use functional programming features without having to navigate an entirely new language.Because of the shared runtime environment common to C# and F# languages, it's possible to use most of F#'s functional features in C# as well. Author Simon J. Painter explains how you can write functional code in C# right away, without having to install dependencies or features newer than.NET 3. You'll learn why functional programming concepts can bring immediate benefit to your work.Learn what functional programming is and how it originatedDiscover features of the functional paradigm using a more familiar languageStart coding functionally in C# right away, without relying on third-party librariesWrite code that's more robust, less error prone, and easier to testExamine less conventional ways to look at structures available in C#Explore the practicalities of using functional C# in a business environment

Dependent types are a concept that allows developers to write proof-carrying code. Idris is a programming language that supports dependent types. This book will teach you the mathematical foundations of Idris as well as how to use it to write software and mathematically prove properties.The first part of the book serves as an introduction to the language's underlying theories. It starts by reviewing formal systems and mathematical logical systems as foundational building blocks, then gradually builds up to dependent types. Next, you'll learn type theory for dependent types. Following this, you'll explore the Idris programming language and conclude by exploring the depths of formal systems and type checkers by implementing them.Introduction to Dependent Types with Idris will walk you through simple examples through more advanced techniques, stepping up the difficulty as you gain more knowledge. Every chapter includes a set of exercises based on what it covered to further cement your learning. No specialized knowledge of mathematics is expected beyond the basics, so it is perfect for novices.What You Will Learn Understand Lambda calculus and dependent types Gain insight into functional programmingWrite mathematical proofs with IdrisWho This Book Is ForProgrammers, mathematicians, academics, and anyone else interested learning dependent types and lambda calculus.

Put the power of Haskell to work in your programs, learning from an engineer who uses Haskell daily to get practical work done efficiently. Leverage powerful features like Monad Transformers and Type Families to build useful applications. Realize the benefits of a pure functional language, like protecting your code from side effects. Manage concurrent processes fearlessly. Apply functional techniques to working with databases and building RESTful services. Don't get bogged down in theory, but learn to employ advanced programming concepts to solve real-world problems. Don't just learn the syntax, but dive deeply into Haskell as you build efficient, well-tested programs. Haskell is a pure functional programming language with a rich ecosystem of tools and libraries. Designed to push the boundaries of programming, it offers unparalleled power for building reliable and maintainable systems. But to unleash that power, you need a guide. Effective Haskell is that guide. Written by an engineer who understands how to apply Haskell to the real world and uses it daily to get practical work done, it is your ticket to Haskell mastery.Gain deep understanding of how Haskell deals with IO and the outside world by writing a complete Haskell application that does several different kinds of IO. Reinforce your learnings with practice exercises in every chapter.Write stable and performant code using Haskell's type system, code that is easier to grow and refactor. Leverage the power of pure functional programming to improve collaboration, make concurrency safe and easy, and make large code bases manageable.Implement type-safe web services, write generative tests, design strongly typed embedded domain-specific languages, and build applications that exploit parallelism and concurrency without fear of deadlocks and race conditions. Create and deploy cloud-native Haskell applications. Master the performance characteristics of functional applications to make them run faster and use less memory.Write Haskell programs that solve real-world business problems.What You Need:Intel based Mac, M1 Macs, Linux PC, or Windows with WSL2ghcup (http://www. Haskell.org/ghcup/)An active internet connection will be required for some projects.

Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.In Functional Programming in R 4, you'll see how to replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds.Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions; that is, building more complex functions by combining simpler functions.What You'll LearnWrite functions in R 4, including infix operators and replacement functions Create higher order functionsPass functions to other functions and start using functions as data you can manipulateUse Filer, Map and Reduce functions to express the intent behind code clearly and safelyBuild new functions from existing functions without necessarily writing any new functions, using point-free programmingCreate functions that carry data along with themWho This Book Is ForThose with at least some experience with programming in R.

Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambda expressions and Streams. If you're interested in applying FP concepts to your Java code, this book is for you.Author Ben Weidig highlights different aspects of functional programming and shows you how to incorporate them into your code without going'fully functional.'You'll learn how, when, and why to use FP concepts such as immutability and pure functions to write more concise, reasonable, and future-proof code. Many developers seek to expand their horizons by using OOP and FP together. It's no longer either-or; it's both.In this book, you will:Get a high-level overview of functional programming, including the types already available to Java developersExplore different FP concepts and learn how to use themLearn how to augment your code and use Java's new functional features in your daily work without going fully functionalDevelop a functional mindset and improve your programming skills regardless of language or paradigm

Why learn functional programming? Isn't that some complicated ivory-tower technique used only in obscure languages like Haskell?In fact, functional programming is actually very simple. It's also very powerful, as Haskell demonstrates by throwing away all the conventional programming tools and using only functional programming features. But it doesn't have to be done that way.Functional programming is a power tool that you can use in addition to all your usual tools, to whatever extent your current mainstream language supports it. Most languages have at least basic support.In this book we use Python and Java and, as a bonus, Scala. If you prefer another language, there will be minor differences in syntax, but the concepts are the same.Give functional programming a try. You may be surprised how much a single power tool can help you in your day-to-day programming.

Apply functional programming techniques to write testable terser code for frontend and backend development with improved clarity, concurrency, and performance Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesApply functional programming concepts and techniques to everyday JavaScript or TypeScript programmingMaster functional programming in JavaScript and TypeScript to solve real-world development problemsApply functional programming to get better testable programs with higher modularity and reusabilityBook DescriptionFunctional programming is a programming paradigm that uses functions for developing software. This book is filled with examples that enable you to leverage the latest JavaScript and TypeScript versions to produce modern and clean code, as well as teach you to how apply functional programming techniques to develop more efficient algorithms, write more concise code, and simplify unit testing. This book provides comprehensive coverage of the major topics in functional programming to produce shorter, clearer, and testable programs. You'll begin by getting to grips with writing and testing pure functions, reducing side effects, as well as other key features to make your applications functional in nature. The book specifically explores techniques to simplify coding, apply recursion, perform high-level coding, learn ways to achieve immutability, implement design patterns, and work with data types. By the end of this book, you'll have developed the practical programming skills needed to confidently enhance your applications by adding functional programming to wherever it's most suitable.What you will learnUnderstand when to use functional programming versus classic object-oriented programmingUse declarative coding instead of imperative coding for clearer, more understandable codeKnow how to avoid side effects and create more reliable code with closures and immutable dataUse recursion to help design and implement more understandable solutions to complex problemsDefine functional programing data types with or without TypeScript, add type checking, and implement immutabilityApply advanced containers to get better structures to tackle errors and implement async programmingWho this book is forIf you are a JavaScript or TypeScript developer looking to enhance your programming skills, then this book is for you. The book applies to both frontend developers working with frameworks such as React, Vue, or Angular as well as backend developers using Node.js or Deno.

This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3.In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. You'll soon see why reviewers have called it “mindblowing”! The book smooths the complexity curve of functional programming, making it simple to understand the basics and intuitive to progress to more advanced topics. Concrete examples and exercises show you FP in the real world and reveal how it can improve your everyday coding practices. This second edition comes packed with the latest standards of FP, as well as full code updates to Scala 3, and its new language features. Foreword by Daniel Spiewak. About the Technology Functional code is easy to test, reuse, and parallelize, and it's practically immune to whole categories of state-related bugs. With its strong functional features, familiar syntax, and seamless interoperability with Java, there's no better place to start learning functional programming than the flexible Scala language. About the Book In Functional Programming with Scala, Second Edition you'll learn functional programming from first principles. Hands-on exercises and examples make it easy to start thinking and coding functionally. This revised edition contains extensive exercise annotations to help you explore FP in depth, along with steps to build your own functional libraries in Scala. Once the functional lightbulb goes on, you'll never look at coding the same way again. What's Inside Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors About the Reader For Java or Scala programmers. No knowledge of functional programming required. About the Author Michael Pilquist is the lead maintainer of FS2, a functional streaming library, and contributes to the Typelevel ecosystem. Paul Chiusano and Rúnar Bjarnason are recognized experts in functional programming and authors of the first edition of Functional Programming with Scala. Table of Contents: PART 1 - INTRODUCTION TO FUNCTIONAL PROGRAMMING 1 What is functional programming? 2 Getting started with functional programming in Scala 3 Functional data structures 4 Handling errors without exceptions 5 Strictness and laziness 6 Purely functional state PART 2 - FUNCTIONAL DESIGN AND COMBINATOR LIBRARIES 7 Purely functional parallelism 8 Property-based testing 9 Parser combinators PART 3 - COMMON STRUCTURES IN FUNCTIONAL DESIGN 10 Monoids 11 Monads 12 Applicative and traversable functors PART 4 - EFFECTS AND I/O 13 External effects and I/O 14 Local effects and mutable state 15 Stream processing and incremental I/O

Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This updated edition includes more modern treatment of Haskell's web framework and APIs.This book contains excellent coverage of the Haskell ecosystem and supporting tools, including Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, WAI and Elm to develop the back end and front end of web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You'll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell, Third Edition takes advantage of this to show off the language and what it can do. Free source code available on the Apress GitHub page for this book.What You Will LearnGet started programming with HaskellExamine the different parts of the languageGain an overview of the most important libraries and tools in the Haskell ecosystemApply functional patterns in real-world scenariosUnderstand monads and monad transformersProficiently use laziness and resource managementWho This Book Is ForExperienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.

Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to:Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics.

Real world examples and practical techniques for functional programming in C# without the jargon and theory.In Functional Programming in C#, Second Edition you will learn how to: Use higher-order functions to reduce duplication and do more with less code Use pure functions to write code that is easy to test and optimize Write pleasant APIs that accurately describe your program's behavior Use dedicated types to handle nullability, system errors, and validation rules predictably and elegantly Write composable code without the overhead of an IoC container Functional Programming in C# has helped thousands of developers apply functional thinking to C# code. Its practical examples and spot-on treatment of FP concepts makes it the perfect guide for proficient C# programmers. This second edition is fully revised to cover new functional-inspired features in the most recent releases of C#, including tuples, async streams, pattern matching, and records. Each chapter is packed with awesome perspectives and epiphany moments on how functional programming can change the way you code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Turbocharge your C# code. Good functional techniques will improve concurrency, state management, event handling, and maintainability of your software. This book gives you practical answers to why, how, and where to add functional programing into your C# coding practice. About the book Functional Programming in C#, Second Edition teaches functional thinking for real-world problems. It reviews the C# language features that allow you to program functionally and through many practical examples shows the power of function composition, data-driven programming, and immutable data structures. All code examples work with.NET 6 and C# 10. What's inside Higher-order functions reduce duplication and do more with less code Code based on pure functions is easy to test and optimize Write pleasant APIs that accurately describe your program's behavior Write a Web API in a functional style Monadic composition with LINQ About the reader For intermediate C# programmers. About the author Enrico Buonanno studied Computer Science at Columbia University and has over 15 years of experience as a developer, architect, and trainer. Table of Contents PART 1 GETTING STARTED 1 Introducing functional programming 2 Thinking in functions 3 Why function purity matters PART 2 CORE TECHNIQUES 4 Designing function signatures and types 5 Modeling the possible absence of data 6 Patterns in functional programming 7 Designing programs with function composition PART 3 FUNCTIONAL DESIGNS 8 Functional error handling 9 Structuring an application with functions 10 Working effectively with multi-argument functions 11 Representing state and change 12 A short introduction to functional data structures 13 Event sourcing: A functional approach to persistence PART 4 ADVANCED TECHNIQUES 14 Lazy computations, continuations, and the beauty of monadic composition 15 Stateful programs and stateful computations 16 Working with asynchronous computations 17 Traversable and stacked monads 18 Data streams and the Reactive Extensions 19 An introduction to message-passing concurrency

“Using this book has propelled my efficiency in solving leetcode challenges.” - Discord user, zizu Python isn't all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsCover examples relevant to mathematical, statistical, and data analysis domainsBook DescriptionNot enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you're a leetcoder preparing for coding interviews, this book is for you. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though – you'll also see how Python's native object orientation is used in conjunction with functional programming techniques. By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.What you will learnUse Python's libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulationsWho this book is forThe functional paradigm is very useful for programmers working in data science or preparing for technical interviews, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book. No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.

There's no need to fear going functional! This friendly, lively, and engaging guide is perfect for any perplexed programmer. It lays out the principles of functional programming in a simple and concise way that will help you grok what FP is really all about.In Grokking Functional Programming you will learn: Designing with functions and types instead of objects Programming with pure functions and immutable values Writing concurrent programs using the functional style Testing functional programs Multiple learning approaches to help you grok each new concept If you've ever found yourself rolling your eyes at functional programming, this is the book for you. Open up Grokking Functional Programming and you'll find functional ideas mapped onto what you already know as an object-oriented programmer. The book focuses on practical aspects from page one. Hands-on examples apply functional principles to everyday programming tasks like concurrency, error handling, and improving readability. Plus, puzzles and exercises let you think and practice what you're learning. You'll soon reach an amazing “aha” moment and start seeing code in a completely new way. About the technology Finally, there's an easy way to learn functional programming! This unique book starts with the familiar ideas of OOP and introduces FP step-by-step using relevant examples, engaging exercises, and lots of illustrations. You'll be amazed at how quickly you'll start seeing software tasks from this valuable new perspective. About the book Grokking Functional Programming introduces functional programming to imperative developers. You'll start with small, comfortable coding tasks that expose basic concepts like writing pure functions and working with immutable data. Along the way, you'll learn how to write code that eliminates common bugs caused by complex distributed state. You'll also explore the FP approach to IO, concurrency, and data streaming. By the time you finish, you'll be writing clean functional code that's easy to understand, test, and maintain. What's inside Designing with functions and types instead of objects Programming with pure functions and immutable values Writing concurrent programs using the functional style Testing functional programs About the reader For developers who know an object-oriented language. Examples in Java and Scala. About the author Michal Plachta is an experienced software developer who regularly speaks and writes about creating maintainable applications. Table of Contents Part 1 The functional toolkit 1 Learning functional programming 2 Pure functions 3 Immutable values 4 Functions as values Part 2 Functional programs 5 Sequential programs 6 Error handling 7 Requirements as types 8 IO as values 9 Streams as values 10 Concurrent programs Part 3 Applied functional programming 11 Designing functional programs 12 Testing functional programs

Learn 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.Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming.Learn functional programming fundamentals and explore the way functional programmers approach problemsUnderstand how FP differs from object-oriented and imperative programmingUse a set of practical, applicable design patterns that model reality in a functional wayLearn how to incorporate FP and OOP features into software projectsApply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

La programación funcional ofrece diversas ventajas a la hora de construir software: reducción de errores, manejo eficiente de datos en entornos concurrentes y paralelos, y un gran respaldo teórico. No obstante, muchos programadores fracasan en su intento de adentrarse en ella por ir directamente a aprenderla usando un lenguaje de programación (tecnología), con lo que omiten la teoría y el contexto histórico que le dio origen. Este libro incluye una introducción sobre qué son la computación y la programación en pos de delimitar su campo de acción. En segundo lugar, presenta el cálculo lambda, el modelo de computación que influenció a la programación funcional en los años cuando ni siquiera existían los lenguajes de programación, ni mucho menos los ordenadores digitales. Para concluir, el libro emplea los lenguajes de programación Racket y Python para enseñar las diversas características de la programación funcional, sus fortalezas y debilidades, y cómo ellas pueden combinarse con otros paradigmas. Con todo ello, aprenderá: La visión general de la computación, la programación y los lenguajes de programación. Los fundamentos que subyacen a la programación funcional, como el cálculo lambda. Las diferencias entre el cálculo lambda libre de tipos y tipado. La aplicación de estos conceptos en un lenguaje de programación de estirpe funcional, como lo es Racket, y en otro de uso masivo, como Python. El diseño y la construcción de un pequeño lenguaje de programación usando el enfoque funcional. Si tiene un mínimo conocimiento en programación y desea adentrarse en otra forma de pensar y construir sistemas computacionales, donde viven conceptos como reducción, funciones puras, transparencia referencial, búsqueda de patrones, entre otros, no espere más para hacerse con este libro. Gracias a él no descubrirá tan solo la programación funcional, sino que ampliará su perspectiva con respecto a la computación desde una óptica sistémica y libre de dogmas. Camilo Chacón Sartori fue elegido escritor destacado por Quora en español durante tres años seguidos (2018, 2019 y 2020) por sus más de 700 respuestas sobre ciencias de la computación. Actualmente tiene un podcast llamado Había una vez un algoritmo, donde trata temas filosóficos, prácticos y teóricos sobre la computación. Obtuvo su licenciatura y máster en Ingeniería Informática, ambos, con distinción máxima.'El libro nos presenta un sólido análisis teórico y conceptual de los tópicos vertidos aquí […]. La lectura y el estudio detallado de su contenido proveerán al lector de conocimientos necesarios que le permitirán comprender, resolver y extender los problemas asociados al desarrollo de programas computacionales, conforme a las tendencias actuales'.

'The most insightful and intuitive guide to clean and simple software. I recommend this to all software developers.'- Rob Pacheco, Vision Government Solutions Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they're easier to test and debug. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system's state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering “actions” into stateless “calculations.” Your software will be simpler. About the book The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In ad­vanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity. What's inside Patterns for simpler code Powerful time modeling approaches to simplify asynchronous code How higher-order functions can make code reusable and composable About the reader For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. About the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. Table of Contents 1 Welcome to Grokking Simplicity 2 Functional thinking in action PART 1 - ACTIONS, CALCULATIONS, AND DATA 3 Distinguishing actions, calculations, and data 4 Extracting calculations from actions 5 Improving the design of actions 6 Staying immutable in a mutable language 7 Staying immutable with untrusted code 8 Stratified design, part 1 9 Stratified design, part 2 PART 2 - FIRST-CLASS ABSTRACTIONS 10 First-class functions, part 1 11 First-class functions, part 2 12 Functional iteration 13 Chaining functional tools 14 Functional tools for nested data 15 Isolating timelines 16 Sharing resources between timelines 17 Coordinating timelines 18 Reactive and onion architectures 19 The functional journey ahead

Reusing well-written, well-debugged, and well-tested code improves productivity, code quality, and software configurability and relieves pressure on software developers. When you organize your code into self-contained modular units, you can use them as building blocks for your future projects and share them with other programmers, if needed. Understand the benefits and downsides of seven code reuse models so you can confidently reuse code at any development stage. Create static and dynamic libraries in C and Python, two of the most popular modern programming languages. Adapt your code for the real world: deploy shared functions remotely and build software that accesses them using remote procedure calls. Avoid the drawbacks and harness the benefits associated with seven code reuse models. Create static and dynamic libraries in C and Python, deploy shared functions remotely, and build software that makes intelligent use of remote procedure calls. In no time at all, you'll develop the confidence to reuse code at any stage of real-world development. This one-stop solution covers the complete build cycle: editing, compiling, linking, and running a ready program. Apply Linux/macOS power software development tools, such as ld, ldd, ranlib, and nm, to construct and explore state-of-the-art function libraries in C that could be linked with application-specific code either permanently or for the duration of execution. Learn why Python has modules for reuse and how they differ from C object files and libraries. Understand the risks and other negative implications of sharing and reuse. As a bonus, distill the dependencies between your project's components and automate and optimize your build process with the'make'utility. Whether you are an amateur coder or an experienced developer, become a more productive and resourceful programmer by reusing previously written code. What You Need: To compile and run the C examples mentioned in the book, you need a decent C compiler (GCC is the best, but Intel and Microsoft would probably work, too) and a set of C development tools: maker (make), linker (ld), file, strip, ldd, and ranlib. Again, the GNU development toolset works marvels; other toolsets may or may not work. All examples in the book have been tested on a Linux computer but will most likely work on macOS. For the Python examples, a Python-3.x interpreter is all you want. No third-party modules are required.

The perfect starting point for your journey into Scala and functional programming.Summary In Get Programming in Scala you will learn: Object-oriented principles in Scala Express program designs in functions Use types to enforce program requirements Use abstractions to avoid code duplication Write meaningful tests and recognize code smells Scala is a multi-style programming language for the JVM that supports both object-oriented and functional programming. Master Scala, and you'll be well-equipped to match your programming approach to the type of problem you're dealing with. Packed with examples and exercises, Get Programming with Scala is the perfect starting point for developers with some OO knowledge who want to learn Scala and pick up a few FP skills along the way. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Scala developers are in high demand. This flexible language blends object-oriented and functional programming styles so you can write flexible, easy-to-maintain code. Because Scala runs on the JVM, your programs can interact seamlessly with Java libraries and tools. If you're comfortable writing Java, this easy-to-read book will get you programming with Scala fast. About the book Get Programming with Scala is a fast-paced introduction to the Scala language, covering both Scala 2 and Scala 3. You'll learn through lessons, quizzes, and hands-on projects that bring your new skills to life. Clear explanations make Scala's features and abstractions easy to understand. As you go, you'll learn to write familiar object-oriented code in Scala and also discover the possibilities of functional programming. What's inside Apply object-oriented principles in Scala Learn the core concepts of functional programming Use types to enforce program requirements Use abstractions to avoid code duplication Write meaningful tests and recognize code smells About the reader For developers who know an OOP language like Java, Python, or C#. No experience with Scala or functional programming required. About the author Daniela Sfregola is a Senior Software Engineer and a Scala user since 2013. She is an active contributor to the Scala Community, a public speaker at Scala conferences and meetups, and a maintainer of open-source projects. Table of Contents Unit 0 HELLO SCALA! Unit 1 THE BASICS Unit 2 OBJECT-ORIENTED FUNDAMENTALS Unit 3 HTTP SERVER Unit 4 IMMUTABLE DATA AND STRUCTURES Unit 5 LIST Unit 6 OTHER COLLECTIONS AND ERROR HANDLING Unit 7 CONCURRENCY Unit 8 JSON (DE)SERIALIZATION

Explore the functional programming paradigm and the different techniques for developing better algorithms, writing more concise code, and performing seamless testingKey FeaturesExplore this second edition updated to cover features like async functions and transducers, as well as functional reactive programmingEnhance your functional programming (FP) skills to build web and server apps using JavaScriptUse FP to enhance the modularity, reusability, and performance of appsBook DescriptionFunctional programming is a paradigm for developing software with better performance. It helps you write concise and testable code. To help you take your programming skills to the next level, this comprehensive book will assist you in harnessing the capabilities of functional programming with JavaScript and writing highly maintainable and testable web and server apps using functional JavaScript. This second edition is updated and improved to cover features such as transducers, lenses, prisms and various other concepts to help you write efficient programs. By focusing on functional programming, you'll not only start to write but also to test pure functions, and reduce side effects. The book also specifically allows you to discover techniques for simplifying code and applying recursion for loopless coding. Gradually, you'll understand how to achieve immutability, implement design patterns, and work with data types for your application, before going on to learn functional reactive programming to handle complex events in your app. Finally, the book will take you through the design patterns that are relevant to functional programming. By the end of this book, you'll have developed your JavaScript skills and have gained knowledge of the essential functional programming techniques to program effectively.What you will learnSimplify JavaScript coding using function composition, pipelining, chaining, and transducingUse declarative coding as opposed to imperative coding to write clean JavaScript codeCreate more reliable code with closures and immutable dataApply practical solutions to complex programming problems using recursionImprove your functional code using data types, type checking, and immutabilityUnderstand advanced functional programming concepts such as lenses and prisms for data accessWho this book is forThis book is for JavaScript developers who want to enhance their programming skills and build efficient web applications. Frontend and backend developers who use various JavaScript frameworks and libraries like React, Angular, or Node.js will also find the book helpful. Working knowledge of ES2019 is required to grasp the concepts covered in the book easily.

Access the power of bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine how your programs interact with your operating system. Compile Scala code down to native machine instructions; seamlessly invoke operating system APIs for low-level networking and IO; control pointers, arrays, and other memory management techniques for extreme performance; and enjoy instant start-up times. Skip the JVM and improve your code performance by getting close to the metal. Developers generally build systems on top of the work of those who came before, accumulating layer upon layer of abstraction. Scala Native provides a rare opportunity to remove layers. Without the JVM, Scala Native uses POSIX and ANSI C APIs to build concise, expressive programs that run unusually close to bare metal. Scala Native compiles Scala code down to native machine instructions instead of JVM bytecode. It starts up fast, without the sluggish warm-up phase that's common for just-in-time compilers. Scala Native programs can seamlessly invoke operating system APIs for low-level networking and IO. And Scala Native lets you control pointers, arrays, and other memory layout types for extreme performance. Write practical, bare-metal code with Scala Native, step by step. Understand the foundations of systems programming, including pointers, arrays, strings, and memory management. Use the UNIX socket API to write network client and server programs without the sort of frameworks higher-level languages rely on. Put all the pieces together to design and implement a modern, asynchronous microservice-style HTTP framework from scratch. Take advantage of Scala Native's clean, modern syntax to write lean, high-performance code without the JVM.What You Need:A modern Windows, Mac OS, or Linux system capable of running Docker. All code examples in the book are designed to run on a portable Docker-based build environment that runs anywhere. If you don't have Docker yet, see the Appendix for instructions on how to get it.

You know how to code in Elixir; now learn to think in it. Learn to design libraries with intelligent layers that shape the right data structures, flow from one function into the next, and present the right APIs. Embrace the same OTP that's kept our telephone systems reliable and fast for over 30 years. Move beyond understanding the OTP functions to knowing what's happening under the hood, and why that matters. Using that knowledge, instinctively know how to design systems that deliver fast and resilient services to your users, all with an Elixir focus. Elixir is gaining mindshare as the programming language you can use to keep you software running forever, even in the face of unexpected errors and an ever growing need to use more processors. This power comes from an effective programming language, an excellent foundation for concurrency and its inheritance of a battle-tested framework called the OTP. If you're using frameworks like Phoenix or Nerves, you're already experiencing the features that make Elixir an excellent language for today's demands. This book shows you how to go beyond simple programming to designing, and that means building the right layers. Embrace those data structures that work best in functional programs and use them to build functions that perform and compose well, layer by layer, across processes. Test your code at the right place using the right techniques. Layer your code into pieces that are easy to understand and heal themselves when errors strike. Of all Elixir's boons, the most important one is that it guides us to design our programs in a way to most benefit from the architecture that they run on. The experts do it and now you can learn to design programs that do the same.What You Need:Elixir Version 1.7 or greater.

Se você se interessa em aprender a escrever programas melhores, Programação Funcional tem muito a lhe oferecer. Com ela, você pode produzir códigos mais robustos, menos suscetíveis a erros e expandir sua forma de pensar. E Clojure possui recursos que nos ajudam a manter o foco na Programação Funcional: sua sintaxe, que é simples e muito diferente das linguagens mais populares, o ganho em desempenho com as estruturas de dados imutáveis e oportunidade de paralelismo. Clojure, principalmente, roda na máquina virtual Java, então podemos utilizar bibliotecas escritas em Java. Sua ferramenta de automação de tarefas e gerenciamento de dependências, Leiningen, é bastante flexível e completa, e provê suporte ao repositório de bibliotecas do Maven. Neste livro, Gregório Melo oferece uma introdução à Programação Funcional, utilizando a linguagem Clojure para demonstrar os princípios deste paradigma. Você aprenderá novas práticas e conceitos que vão ajudá-lo a escrever aplicações melhores, com exemplos de domínio, funções e requisições HTTP, seguindo uma abordagem de desenvolvimento guiado por teste. Se você tem a mente aberta para uma nova linguagem de programação e acredita que uma sintaxe e paradigma novos o levarão a novos horizontes, este livro é para você.

SummaryFunctional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyWell-written code is easier to test and reuse, simpler to parallelize, and less error prone. Mastering the functional style of programming can help you tackle the demands of modern apps and will lead to simpler expression of complex program logic, graceful error handling, and elegant concurrency. C++ supports FP with templates, lambdas, and other core language features, along with many parts of the STL.About the BookFunctional Programming in C++ helps you unleash the functional side of your brain, as you gain a powerful new perspective on C++ coding. You'll discover dozens of examples, diagrams, and illustrations that break down the functional concepts you can apply in C++, including lazy evaluation, function objects and invokables, algebraic data types, and more. As you read, you'll match FP techniques with practical scenarios where they offer the most benefit.What's insideWriting safer code with no performance penaltiesExplicitly handling errors through the type systemExtending C++ with new control structuresComposing tasks with DSLsAbout the ReaderWritten for developers with two or more years of experience coding in C++.About the AuthorIvan Čukić is a core developer at KDE and has been coding in C++ since 1998. He teaches modern C++ and functional programming at the Faculty of Mathematics at the University of Belgrade.Table of ContentsIntroduction to functional programmingGetting started with functional programmingFunction objectsCreating new functions from the old onesPurity: Avoiding mutable stateLazy evaluationRangesFunctional data structuresAlgebraic data types and pattern matchingMonadsTemplate metaprogrammingFunctional design for concurrent systemsTesting and debugging

SummaryMaintaining poor legacy code, interpreting cryptic comments, and writing the same boilerplate over and over can suck the joy out of your life as a Java developer. Fear not! There's hope! Kotlin is an elegant JVM language with modern features and easy integration with Java. The Joy of Kotlin teaches you practical techniques to improve abstraction and design, to write comprehensible code, and to build maintainable bug-free applications.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyYour programming language should be expressive, safe, flexible, and intuitive, and Kotlin checks all the boxes! This elegant JVM language integrates seamlessly with Java, and makes it a breeze to switch between OO and functional styles of programming. It's also fully supported by Google as a first-class Android language. Master the powerful techniques in this unique book, and you'll be able to take on new challenges with increased confidence and skill.About the BookThe Joy of Kotlin teaches you to write comprehensible, easy-to-maintain, safe programs with Kotlin. In this expert guide, seasoned engineer Pierre-Yves Saumont teaches you to approach common programming challenges with a fresh, FP-inspired perspective. As you work through the many examples, you'll dive deep into handling errors and data properly, managing state, and taking advantage of laziness. The author's down-to-earth examples and experience-driven insights will make you a better—and more joyful—developer!What's insideProgramming with functionsDealing with optional dataSafe handling of errors and exceptionsHandling and sharing state mutationAbout the ReaderWritten for intermediate Java or Kotlin developers.About the AuthorPierre-Yves Saumont is a senior software engineer at Alcatel-Submarine Networks. He's the author of Functional Programming in Java (Manning, 2017).Table of ContentsMaking programs saferFunctional programming in Kotlin: An overviewProgramming with functionsRecursion, corecursion, and memoizationData handling with listsDealing with optional dataHandling errors and exceptionsAdvanced list handlingWorking with lazinessMore data handling with treesSolving problems with advanced treesFunctional input/outputSharing mutable states with actorsSolving common problems functionally

Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, the Spock framework for developing web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You'll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell takes advantage of this to show off the language and what it can do.What You Will LearnGet started programming with HaskellExamine the different parts of the languageGain an overview of the most important libraries and tools in the Haskell ecosystemApply functional patterns in real-world scenariosUnderstand monads and monad transformersProficiently use laziness and resource managementWho This Book Is ForExperienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.

What will you learn from this book?Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer. You'll learn everything from language fundamentals to collections, generics, lambdas, and higher-order functions. Along the way, you'll get to play with both object-oriented and functional programming. If you want to really understand Kotlin, this is the book for you.Why does this book look so different?Based on the latest research in cognitive science and learning theory, Head First Kotlin uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.

Was lernen Sie in diesem Buch? Kotlin von Kopf bis Fuß ist eine praxisnahe Einführung in die Programmierung mit Kotlin, für die Sie keine Java-Vorkenntnisse benötigen. Das Buch vermittelt Ihnen zunächst die Grundlagen der Sprache und behandelt dann Collections, die generische Programmierung, Lambdas und Funktionen höherer Ordnung. Unterwegs haben Sie Gelegenheit, sowohl mit objektorientierter als auch mit funktionaler Programmierung zu experimentieren. Hierfür verwenden die Autoren eine einzigartige, visuell ansprechende Methode, die über das Lernen der Syntax und schlichte Anleitungen hinausgeht. Wenn Sie Kotlin wirklich verstehen wollen, ist dieses Buch genau das richtige für Sie. Warum ist dieses Buch so anders? In dieses Buch sind die neuesten Erkenntnisse der Kognitionsforschung und der Lerntheorie eingeflossen, um Ihnen das Lernen so einfach wie möglich zu machen. Statt einschläfernder Bleiwüsten verwendet dieses Buch eine Vielzahl von Abbildungen und Textstilen, die Ihr Gehirn auf Trab halten und Ihnen das Wissen direkt ins Hirn spielen – und zwar so, dass es sitzt.

Learn when and how to use Clojure's polymorphic features to develop efficient multithreaded applicationsKey FeaturesGet to grips with the different polymorphic tools that Clojure offersDevelop a taste for good Clojure designs through various engaging examplesStudy various design principles and learn ways to use them in your applicationsBook DescriptionClojure is a modern, dynamic language that you can use to develop robust, multithreaded programs. Clojure Polymorphism is a comprehensive guide that shows you how to use Clojure's features to your advantage.The book begins by describing examples that show how to define and implement abstractions with plain functions and multimethods. Then you'll analyze these examples and separate the good and bad aspects of their design principles. You'll also learn how to perform data transformation abstraction with a plain function and discover how to write new cross-platform predicates while keeping the core of your abstraction free from reader conditionals. The later chapters explain the considerations to keep in mind when implementing Clojure protocols on the Java Virtual Machine (JVM).By the end of this book, you'll know how to use the various polymorphic tools of Clojure to your advantage while designing your applications.What you will learnExplore how polymorphism is implemented in ClojureDiscover what design principles to use when creating and implementing abstractionsExplore different ways to implement protocols in ClojureImplement various design principles while working with the JVMWrite and compare plain functions and multimethods for transforming data Analyze functions and abstractions for their performance and flexibilityLearn about common “gotchas” to avoid errors when writing codeWho this book is forClojure Polymorphism is useful for all programmers who want to leverage Clojure's polymorphic tools to build efficient applications. To get the most out of this book, you must be a moderately proficient Clojure programmer.

Summary Get Programming with Haskell leads you through short lessons, examples, and exercises designed to make Haskell your own. It has crystal-clear illustrations and guided practice. You will write and test dozens of interesting programs and dive into custom Haskell modules. You will gain a new perspective on programming plus the practical ability to use Haskell in the everyday world. (The 80 IQ points: not guaranteed.) Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Programming languages often differ only around the edges—a few keywords, libraries, or platform choices. Haskell gives you an entirely new point of view. To the software pioneer Alan Kay, a change in perspective can be worth 80 IQ points and Haskellers agree on the dramatic benefits of thinking the Haskell way—thinking functionally, with type safety, mathematical certainty, and more. In this hands-on book, that's exactly what you'll learn to do. What's Inside Thinking in Haskell Functional programming basics Programming in types Real-world applications for Haskell About the Reader Written for readers who know one or more programming languages. Table of Contents Lesson 1 Getting started with Haskell Unit 1 - FOUNDATIONS OF FUNCTIONAL PROGRAMMING Lesson 2 Functions and functional programming Lesson 3 Lambda functions and lexical scope Lesson 4 First-class functions Lesson 5 Closures and partial application Lesson 6 Lists Lesson 7 Rules for recursion and pattern matching Lesson 8 Writing recursive functions Lesson 9 Higher-order functions Lesson 10 Capstone: Functional object-oriented programming with robots! Unit 2 - INTRODUCING TYPES Lesson 11 Type basics Lesson 12 Creating your own types Lesson 13 Type classes Lesson 14 Using type classes Lesson 15 Capstone: Secret messages! Unit 3 - PROGRAMMING IN TYPES Lesson 16 Creating types with'and'and'or'Lesson 17 Design by composition—Semigroups and Monoids Lesson 18 Parameterized types Lesson 19 The Maybe type: dealing with missing values Lesson 20 Capstone: Time series Unit 4 - IO IN HASKELL Lesson 21 Hello World!—introducing IO types Lesson 22 Interacting with the command line and lazy I/O Lesson 23 Working with text and Unicode Lesson 24 Working with files Lesson 25 Working with binary data Lesson 26 Capstone: Processing binary files and book data Unit 5 - WORKING WITH TYPE IN A CONTEXT Lesson 27 The Functor type class Lesson 28 A peek at the Applicative type class: using functions in a context Lesson 29 Lists as context: a deeper look at the Applicative type class Lesson 30 Introducing the Monad type class Lesson 31 Making Monads easier with donotation Lesson 32 The list monad and list comprehensions Lesson 33 Capstone: SQL-like queries in Haskell Unit 6 - ORGANIZING CODE AND BUILDING PROJECTS Lesson 34 Organizing Haskell code with modules Lesson 35 Building projects with stack Lesson 36 Property testing with QuickCheck Lesson 37 Capstone: Building a prime-number library Unit 7 - PRACTICAL HASKELL Lesson 38 Errors in Haskell and the Either type Lesson 39 Making HTTP requests in Haskell Lesson 40 Working with JSON data by using Aeson Lesson 41 Using databases in Haskell Lesson 42 Efficient, stateful arrays in Haskell Afterword - What's next? Appendix - Sample answers to exercise

SummaryWith Redux in Action, you'll discover how to integrate Redux into your React application and development environment. With the insights you glean from the experience of authors Marc Garreau and Will Faurot, you'll be more than confident in your ability to solve your state management woes with Redux and focus on developing the apps you need!Foreword by Mark Erikson, Redux co-maintainer.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyWith Redux, you manage the state of a web application in a single, simple object, practically eliminating most state-related bugs. Centralizing state with Redux makes it possible to quickly start saved user sessions, maintain a reliable state history, and smoothly transfer state between UIs. Plus, the Redux state container is fully programmable and integrates cleanly with React and other popular frameworks.About the BookRedux in Action is an accessible guide to effectively managing state in web applications. Built around common use cases, this practical book starts with a simple task-management application built in React. You'll use the app to learn the Redux workflow, handle asynchronous actions, and get your hands on the Redux developer tools. With each step, you'll discover more about Redux and the benefits of centralized state management. The book progresses to more-complex examples, including writing middleware for analytics, time travel debugging, and an overview of how Redux works with other frameworks such as Angular and Electron. What's InsideUsing Redux in an existing React applicationHandling side effects with the redux-saga libraryConsuming APIs with asynchronous actionsUnit testing a React and Redux applicationAbout the ReaderFor web developers comfortable with JavaScript and React.About the AuthorMarc Garreau has architected and executed half a dozen unique client-side applications using Redux. Will Faurot is a mentor for Redux developers of all skill levels.Table of ContentsIntroducing Redux Your first Redux application Debugging Redux applications Consuming an API Middleware Handling complex side effects Preparing data for components Structuring a Redux store Testing Redux applications Performance Structuring Redux code Redux beyond React

Elm 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, 0.19, along with a browser to run the examples in this book.

Understand functional programming concepts and the functional nature of the JavaScript language. Starting with an introduction to functional programming concepts, you will learn the key differences between imperative and functional programming. Diving straight into JavaScript functions, you will learn to write them with ES8. Followed by this you will move to higher order functions and learn how'Function as Data'opens up a world of possibilities. You will then build higher order functions with closures. Arrays will then be introduced, followed by a set of APIs you can use with them. You will learn how to transform one function to another using currying and partial application. The compose function will be discussed in detail, followed by functors and monads. After having an in-depth look at applicative functors, you will learn the new features offered in ES8. The concluding chapters of Beginning Functional JavaScript will show you how to use a functional toolkit to build a small library that allows you to develop web applications, followed by tips on testing your functional code.What You Will Learn Discover functional programming concepts such as string padding and async functionsIdentify how functions are treated in JavaScriptCreate a functional library that mimics Underscore.JSDeep dive into ES8 functional features such as spread operators and generatorsCreate a library that works like the react-redux pattern by following the functional paradigmWho This Book Is ForNovice JavaScript developers.

Take advantage of Kotlin's concurrency primitives to write efficient multithreaded applicationsKey FeaturesLearn Kotlin's unique approach to multithreadingWork through practical examples that will help you write concurrent non-blocking codeImprove the overall execution speed in multiprocessor and multicore systemsBook DescriptionThe primary requirements of modern-day applications are scalability, speed, and making the most use of hardware. Kotlin meets these requirements with its immense support for concurrency. Many concurrent primitives of Kotlin, such as channels and suspending functions, are designed to be non-blocking and efficient. This allows for new approaches to concurrency and creates unique challenges for the design and implementation of concurrent code. Learning Concurrency in Kotlin addresses those challenges with real-life examples and exercises that take advantage of Kotlin's primitives. Beginning with an introduction to Kotlin's coroutines, you will learn how to write concurrent code and understand the fundamental concepts needed to be able to write multithreaded software in Kotlin. You'll explore how to communicate between and synchronize your threads and coroutines to write asynchronous applications that are collaborative. You'll also learn how to handle errors and exceptions, as well as how to leverage multi-core processing. In addition to this, you'll delve into how coroutines work internally, allowing you to see the bigger picture. Throughout the book you'll build an Android application – an RSS reader – designed and implemented according to the different topics covered in the bookWhat you will learnUnderstand Kotlin's approach to concurrencyImplement sequential and asynchronous suspending functionsCreate suspending data sources that are resumed on demandExplore the best practices for error handlingUse channels to communicate between coroutinesUncover how coroutines work under the hoodWho this book is forIf you're a Kotlin or Android developer interested in learning how to program concurrently to enhance the performance of your applications, this is the book for you.

Behind every programming language lies a vision of how programs should be built. The vision behind Clojure is of a radically simple language framework holding together a sophisticated collection of programming features. Learning Clojure involves much more than just learning the mechanics of the language. To really get Clojure you need to understand the ideas underlying this structure of framework and features. You need this book: an accessible introduction to Clojure that focuses on the ideas behind the language as well as the practical details of writing code. Clojure attracts developers on the cutting edge and is arguably the best language for learning to program in the functional style without compromise. But this comes with a steep learning curve. Getting Clojure directly addresses this by teaching you how to think functionally as it teaches you the language. You'll learn about Clojure's powerful data structures and high-level functions, but you'll also learn what it means for a language to be functional, and how to think in Clojure's functional way.Each chapter of Getting Clojure takes a feature or two or three from the language, explains the syntax and the mechanics behind that feature so that you can make it work before digging into the deeper questions: What is the thinking behind the feature? And how does it fit in with the rest of the language? In Getting Clojure you'll learn Clojure's very simple syntax, but you'll also learn why that syntax is integral the way the language is constructed. You'll discover that most data structures in Clojure are immutable, but also why that leads to more reliable programs. And you'll see how easy it is to write Clojure functions and also how you can use those functions to build complex and capable systems.With real-world examples of how working Clojure programmers use the language, Getting Clojure will help you see the challenges of programming through the eye of experienced Clojure developers.What You Need:You will need to some background in programming. To follow along with the examples in the book, you will need Java 6 or new, Clojure 1.8 or 1.9, and Leiningen 2.

An introduction to dependent types, demonstrating the most beautiful aspects, one step at a time.A program's type describes its behavior. Dependent types are a first-class part of a language, and are much more powerful than other kinds of types; using just one language for types and programs allows program descriptions to be as powerful as the programs they describe. The Little Typer explains dependent types, beginning with a very small language that looks very much like Scheme and extending it to cover both programming with dependent types and using dependent types for mathematical reasoning. Readers should be familiar with the basics of a Lisp-like programming language, as presented in the first four chapters of The Little Schemer. The first five chapters of The Little Typer provide the needed tools to understand dependent types; the remaining chapters use these tools to build a bridge between mathematics and programming. Readers will learn that tools they know from programming—pairs, lists, functions, and recursion—can also capture patterns of reasoning. The Little Typer does not attempt to teach either practical programming skills or a fully rigorous approach to types. Instead, it demonstrates the most beautiful aspects as simply as possible, one step at a time.

Summary React in Action introduces front-end developers to the React framework and related tools. This clearly written, example-rich book begins by introducing you to React, diving into some of the fundamental ideas in React, and working with components. In the second section, you'll explore the different ways that data works in React as well as learning more about components. You'll also find several useful appendixes covering related topics like React tooling and the React ecosystem. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Facebook created React to help deliver amazing user experiences on a website with thousands of components and an incomprehensible amount of traffic. The same powerful tools are available to you too! The key is a clever design for managing state, data flow, and rendering, so your application is easy to think about and runs smoothly. Add an incredibly rich ecosystem of components and libraries, and you've got a recipe for building web apps that will delight both developers and users. About the Book React in Action teaches you to think like a pro about user interfaces and building them with React. This practical book gets you up and running quickly with hands-on examples in every chapter. You'll master core topics like rendering, lifecycle methods, JSX, data flow, forms, routing, integrating with third-party libraries, and testing. And the included application design ideas will help make your apps pop. As you learn to integrate React into full-stack applications, you'll explore state management with Redux and server-side rendering, and even dabble in React Native for mobile UIs. What's Inside React from the ground up Implementing a routing system with components Server-side rendering in Node.js Working with third-party libraries Testing React components About the Reader Written for developers familiar with HTML, CSS, and JavaScript. About the Author Mark Thomas is an experienced software engineer who works daily with React, JavaScript, and Node.js. He loves clean code, beautiful systems, and good coffee. Table of Contents PART 1 - MEET REACT Meet React Our first component PART 2 - COMPONENTS AND DATA IN REACT Data and data flow in React Rendering and lifecycle methods in React Working with forms in React Integrating third-party libraries with React Routing in React More routing and integrating Firebase Testing React components PART 3 - REACT APPLICATION ARCHITECTURE Redux application architecture More Redux and integrating Redux with React React on the server and integrating React Router An introduction to React Native

Summary Get Programming with F#: A guide for.NET developers teaches F# through 43 example-based lessons with built-in exercises so you can learn the only way that really works: by practicing. The book upgrades your.NET skills with a touch of functional programming in F#. You'll pick up core FP principles and learn techniques for iron-clad reliability and crystal clarity. You'll discover productivity techniques for coding F# in Visual Studio, functional design, and integrating functional and OO code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Your.NET applications need to be good for the long haul. F#'s unique blend of functional and imperative programming is perfect for writing code that performs flawlessly now and keeps running as your needs grow and change. It takes a little practice to master F#'s functional-first style, so you may as well get programming! What's Inside Learn how to write bug-free programs Turn tedious common tasks into quick and easy ones Use minimal code to work with JSON, CSV, XML, and HTML data Integrate F# with your existing C# and VB.NET applications Create web-enabled applications About the Reader Written for intermediate C# and Visual Basic.NET developers. No experience with F# is assumed. Table of Contents Unit 1 - F# AND VISUAL STUDIO Lesson 1 - The Visual Studio experience Lesson 2 - Creating your first F# program Lesson 3 - The REPL-changing how we develop Unit 2 - HELLO F# Lesson 4 - Saying a little, doing a lot Lesson 5 - Trusting the compiler Lesson 6 - Working with immutable data Lesson 7 - Expressions and statements Lesson 8 Capstone 1 Unit 3 - TYPES AND FUNCTIONS Lesson 9 - Shaping data with tuples Lesson 10 - Shaping data with records Lesson 11 - Building composable functions Lesson 12 - Organizing code without classes Lesson 13 - Achieving code reuse in F# Lesson 14 - Capstone 2 Unit 4 - COLLECTIONS IN F# Lesson 15 - Working with collections in F# Lesson 16 - Useful collection functions Lesson 17 - Maps, dictionaries, and sets Lesson 18 - Folding your way to success Lesson 19 - Capstone 3 Unit 5 - THE PIT OF SUCCESS WITH THE F# TYPE SYSTEM Lesson 20 - Program flow in F# Lesson 21 - Modeling relationships in F# Lesson 22 - Fixing the billion-dollar mistake Lesson 23 - Business rules as code Lesson 24 - Capstone 4 Unit 6 - LIVING ON THE.NET PLATFORM Lesson 25 - Consuming C# from F# Lesson 26 - Working with NuGet packages Lesson 27 - Exposing F# types and functionsto C# Lesson 28 - Architecting hybrid language applications Lesson 29 - Capstone 5 Unit 7 - WORKING WITH DATA Lesson 30 - Introducing type providers Lesson 31 - Building schemas from live data Lesson 32 - Working with SQL Lesson 33 - Creating type provider-backed APIs Lesson 34 - Using type providers in the real world Lesson 35 - Capstone 6 Unit 8 - WEB PROGRAMMING Lesson 36 - Asynchronous workflows Lesson 37 - Exposing data over HTTP Lesson 38 - Consuming HTTP data Lesson 39 - Capstone 7 Unit 9 - UNIT TESTING Lesson 40 - Unit testing in F# Lesson 41 - Property-based testing in F# Lesson 42 - Web testing Lesson 43 - Capstone 8 Unit 10 - WHERE NEXT? Appendix A - The F# community Appendix B - F# in my organization Appendix C - Must-visit F# resources Appendix D - Must-have F# libraries Appendix E - Other F# language feature