Atul khot (57 resultados)

Condición: New.

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Condición: New. Concurrent Patterns and Best Practices (Paperback or Softback).

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Paperback or Softback. Condición: New. Learning Functional Data Structures and Algorithms. Book.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Digital. Condición: New. Learn functional data structures and algorithms for your applications and bring their benefits to your work nowAbout This Book. Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming.Who This Book Is ForThis book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward.What You Will Learn. Learn to think in the functional paradigm. Understand common data structures and the associated algorithms, as well as the context in which they are commonly used. Take a look at the runtime and space complexities with the O notation. See how ADTs are implemented in a functional setting. Explore the basic theme of immutability and persistent data structures. Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms. Gain Scala best practices and idiomsIn DetailFunctional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs.How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures?This book attempts to answer these questions by looking at functional implementations of traditional algorithms.It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical.Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation. …

Condición: New.

Condición: New.

Condición: New. pp. 298.

Condición: New. In English.

Condición: New.

Digital. Condición: New. Grok and perform effective functional programming in Scala About This Book. Understand functional programming patterns by comparing them with the traditional object-oriented design patterns. Write robust, safer, and better code using the declarative programming paradigm. An illustrative guide for programmers to create functional programming patterns with ScalaWho This Book Is ForIf you have done Java programming before and have a basic knowledge of Scala and its syntax, then this book is an ideal choice to help you to understand the context, the traditional design pattern applicable, and the Scala way. Having previous knowledge of design patterns will help, though it is not strictly necessary.What You Will Learn. Get to know about functional programming and the value Scala's FP idioms bring to the table. Solve day-to-day programming problems using functional programming idioms. Cut down the boiler-plate and express patterns simply and elegantly using Scala's concise syntax. Tame system complexity by reducing the moving parts. Write easier to reason about concurrent code using the actor paradigm and the Akka library. Apply recursive thinking and understand how to create solutions without mutation. Reuse existing code to compose new behavior. Combine the object-oriented and functional programming approaches for effective programming using ScalaIn DetailScala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. Its functional programming (FP) features are a boon to help you design "easy to reason about" systems to control the growing software complexities. Knowing how and where to apply the many Scala techniques is challenging. Looking at Scala best practices in the context of what you already know helps you grasp these concepts quickly, and helps you see where and why to use them.This book begins with the rationale behind patterns to help you understand where and why each pattern is applied. You will discover what tail recursion brings to your table and will get an understanding of how to create solutions without mutations. We then explain the concept of memorization and infinite sequences for on-demand computation. Further, the book takes you through Scala's stackable traits and dependency injection, a popular technique to produce loosely-coupled software systems.You will also explore how to currying favors to your code and how to simplify it by de-construction via pattern matching. We also show you how to do pipeline transformations using higher order functions such as the pipes and filters pattern. Then we guide you through the increasing importance of concurrent programming and the pitfalls of traditional code concurrency. Lastly, the book takes a paradigm shift to show you the different techniques that functional programming brings to your plate.This book is an invaluable source to help you understand and perform functional programming and solve co.…

Condición: New. pp. 298.

Condición: New.

Condición: As New. Unread book in perfect condition.

paperback. Condición: Acceptable. Minor stains to book edge. Minor water damage. Still a solid copy. Ex-library softcover book showing heavy all around wear, usual library markings and stamps.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Digital. Condición: New. Learn functional data structures and algorithms for your applications and bring their benefits to your work nowAbout This Book. Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming.Who This Book Is ForThis book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward.What You Will Learn. Learn to think in the functional paradigm. Understand common data structures and the associated algorithms, as well as the context in which they are commonly used. Take a look at the runtime and space complexities with the O notation. See how ADTs are implemented in a functional setting. Explore the basic theme of immutability and persistent data structures. Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms. Gain Scala best practices and idiomsIn DetailFunctional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs.How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures?This book attempts to answer these questions by looking at functional implementations of traditional algorithms.It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical.Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation. …

Digital. Condición: New. Grok and perform effective functional programming in Scala About This Book. Understand functional programming patterns by comparing them with the traditional object-oriented design patterns. Write robust, safer, and better code using the declarative programming paradigm. An illustrative guide for programmers to create functional programming patterns with ScalaWho This Book Is ForIf you have done Java programming before and have a basic knowledge of Scala and its syntax, then this book is an ideal choice to help you to understand the context, the traditional design pattern applicable, and the Scala way. Having previous knowledge of design patterns will help, though it is not strictly necessary.What You Will Learn. Get to know about functional programming and the value Scala's FP idioms bring to the table. Solve day-to-day programming problems using functional programming idioms. Cut down the boiler-plate and express patterns simply and elegantly using Scala's concise syntax. Tame system complexity by reducing the moving parts. Write easier to reason about concurrent code using the actor paradigm and the Akka library. Apply recursive thinking and understand how to create solutions without mutation. Reuse existing code to compose new behavior. Combine the object-oriented and functional programming approaches for effective programming using ScalaIn DetailScala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. Its functional programming (FP) features are a boon to help you design "easy to reason about" systems to control the growing software complexities. Knowing how and where to apply the many Scala techniques is challenging. Looking at Scala best practices in the context of what you already know helps you grasp these concepts quickly, and helps you see where and why to use them.This book begins with the rationale behind patterns to help you understand where and why each pattern is applied. You will discover what tail recursion brings to your table and will get an understanding of how to create solutions without mutations. We then explain the concept of memorization and infinite sequences for on-demand computation. Further, the book takes you through Scala's stackable traits and dependency injection, a popular technique to produce loosely-coupled software systems.You will also explore how to currying favors to your code and how to simplify it by de-construction via pattern matching. We also show you how to do pipeline transformations using higher order functions such as the pipes and filters pattern. Then we guide you through the increasing importance of concurrent programming and the pitfalls of traditional code concurrency. Lastly, the book takes a paradigm shift to show you the different techniques that functional programming brings to your plate.This book is an invaluable source to help you understand and perform functional programming and solve co.…