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Functional Programming Patterns In Scala And Clojure Pdf

functional programming patterns in scala and clojure pdf

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Abstracts/Slides

This series aims to reorient your perspective toward a functional mindset, helping you look at common problems in new ways and find ways to improve your day-to-day coding. It explores functional programming concepts, frameworks that allow functional programming within the Java language, functional programming languages that run on the JVM, and some future-leaning directions of language design.

The series is geared toward developers who know Java and how its abstractions work but have little or no experience using a functional language. Functional programming has generated a recent surge of interest with claims of fewer bugs and greater productivity. But many developers have tried and failed to understand what makes functional languages compelling for some types of jobs.

Learning the syntax of a new language is easy, but learning to think in a different way is hard. In the first installment of his Functional thinking column series, Neal Ford introduces some functional programming concepts and discusses how to use them in both Java and Groovy. Read full article Functional languages and frameworks let the runtime control mundane coding details such as iteration, concurrency, and state. But that doesn't mean you can't take back control when you need to. One important aspect of thinking functionally is knowing how much control you want to give up, and when.

Functional thinking series author Neal Ford continues his guided tour of functional programming constructs and paradigms. You'll look at number-classification code in Scala and take a glance at unit testing in the functional world. Then you'll learn about partial application and currying — two functional approaches that facilitate code reuse — and see how recursion fits into the functional way of thinking.

Immutability is one of the building blocks of functional programming. This Functional thinking installment discusses the many aspects of immutability in the Java language and shows how to create immutable Java classes in both traditional and newer styles. It also shows two ways to create immutable classes in Groovy, removing much of the pain of the Java implementation. Finally, you'll learn when this abstraction is appropriate. Summary: Working every day in a particular abstraction such as object orientation makes it hard to see when that abstraction is leading you to a solution that isn't the best alternative.

This article is the first of two that explores some implications of object-oriented thinking for code reuse, comparing them to more-functional alternatives such as composition. Programmers accustomed to using the building blocks of object orientation inheritance, polymorphism, and so on can become blind both to its shortcomings and to alternatives.

Functional programming uses different building blocks to achieve reuse, based on more general-purpose concepts like list transformations and portable code. This installment of Functional thinking compares coupling via inheritance with composition as reuse mechanisms, and pinpoints one of the key differences between imperative and functional programming. Over time, languages and runtimes have handled more and more mundane details for us.

Functional languages exemplify this trend, but modern dynamic languages have also incorporated many functional features to make developers' lives easier. This installment investigates some of the functional features already lurking in Groovy, showing how recursion hides state and how to build lazy lists.

With Groovy, metaprogramming and functional programming form a potent combination. See how metaprogramming enables you to add methods to the Integer data type that take advantage of Groovy's built-in functional capabilities. And learn how to use metaprogramming to incorporate the Functional Java framework's rich set of functional features seamlessly into Groovy.

Modern dynamic languages have incorporated many functional features to take mundane tasks off developers' hands. This article explores the benefits of caching at the function level with Groovy, contrasting it with an imperative approach.

It illustrates two types of caching — intramethod and external — and discusses the advantages and disadvantages of the imperative and functional versions. Contrary to popular belief, design patterns exist in functional programming — but they sometimes differ from their object-oriented counterparts in appearance and behavior.

In this installment of Functional thinking, Neal Ford looks at ways in which patterns manifest in the functional paradigm, illustrating how the solutions differ. Design patterns represent just one way to solve problems, but if you primarily use object-oriented languages, you may come to think in design patterns.

In this installment of Functional thinking, Neal Ford illustrates solutions to a common problem — incompatible interfaces — using traditional design patterns, metaprogramming, and functional composition. Each approach has pros and cons, but thinking about the design of the solutions helps you see problems in new ways.

The Gang of Four's Interpreter design pattern encourages extending a language by building a new language from it. Most functional languages let you extend the language in a variety of ways, such as operator overloading and pattern matching.

Although Java doesn't permit any of these techniques, next-generation JVM languages do, with varying implementation details. In this article, Neal Ford investigates how Groovy, Scala, and Clojure realize the intent of the Interpreter design pattern by allowing functional extensions in ways that Java does not. Java developers are accustomed to handling errors by throwing and catching exceptions, which doesn't match the functional paradigm.

This Functional thinking installment investigates ways to indicate Java errors functionally while still preserving type safety, shows how to wrap checked exceptions with functional returns, and introduces a handy abstraction named Either.

Scala's ability to perform dispatch based on pattern matching is a feature much envied by Java developers. This installment shows how a combination of standard data structures and generics provides a pattern-matching-like syntax in pure Java. Next-generation languages for the Java platform have more-flexible method-dispatch mechanisms than the Java language. In this Functional thinking installment, Neal Ford explores dispatch mechanisms in functional languages like Scala and Clojure, showing new ways to think about executing code.

Functional programming constructs are appearing in all major languages now, but they can be hard to spot because they're identified by a wide variety of common names.

This installment of Functional thinking shows the same example written using seven different functional frameworks and languages, investigating similarities and differences.

Various functional languages and frameworks feature many of the same abstractions and behaviors but name them differently. In this Functional thinking article, series author Neal Ford optimizes the solution from the preceding installment by improving the algorithm and adding caching, illustrating how each language or framework accommodates the required changes.

Functional Thinking This series aims to reorient your perspective toward a functional mindset, helping you look at common problems in new ways and find ways to improve your day-to-day coding. Thinking functionally, Part 1 Learning to think like a functional programmer Functional programming has generated a recent surge of interest with claims of fewer bugs and greater productivity. Thinking functionally, Part 2 Exploring functional programming and control Functional languages and frameworks let the runtime control mundane coding details such as iteration, concurrency, and state.

Thinking functionally, Part 3 Filtering, unit testing, and techniques for code reuse Functional thinking series author Neal Ford continues his guided tour of functional programming constructs and paradigms. Thinking functionally, Part 3 Read full article Immutability Make Java code more functional by changing less Immutability is one of the building blocks of functional programming. Coupling and composition, Part 1 Exploring the implications of natively coupled abstractions Summary: Working every day in a particular abstraction such as object orientation makes it hard to see when that abstraction is leading you to a solution that isn't the best alternative.

Coupling and composition, Part 2 Object-oriented vs. Functional features in Groovy, Part 1 Treasures lurking in Groovy Over time, languages and runtimes have handled more and more mundane details for us. Functional features in Groovy, Part 3 Memoization and caching Modern dynamic languages have incorporated many functional features to take mundane tasks off developers' hands.

Functional design patterns, Part 1 How patterns manifest in the functional world Contrary to popular belief, design patterns exist in functional programming — but they sometimes differ from their object-oriented counterparts in appearance and behavior.

Functional design patterns, Part 2 Same problem, different paradigms Design patterns represent just one way to solve problems, but if you primarily use object-oriented languages, you may come to think in design patterns.

Functional design patterns, Part 3 The Interpreter pattern and extending the language The Gang of Four's Interpreter design pattern encourages extending a language by building a new language from it.

Functional error handling with Either and Option Type-safe functional exceptions Java developers are accustomed to handling errors by throwing and catching exceptions, which doesn't match the functional paradigm.

Either trees and pattern matching Using Either and generics to create Scala-style pattern matching in Java Scala's ability to perform dispatch based on pattern matching is a feature much envied by Java developers. Rethinking dispatch How next-generation JVM languages add nuance to method dispatch Next-generation languages for the Java platform have more-flexible method-dispatch mechanisms than the Java language. Tons of transformations Synonyms hide similarities Functional programming constructs are appearing in all major languages now, but they can be hard to spot because they're identified by a wide variety of common names.

Transformations and optimizations More functional comparisons across languages Various functional languages and frameworks feature many of the same abstractions and behaviors but name them differently. Neal speaks frequently on the No Fluff, Just Stuff conference circuit. Meme Agora RSS feed.

clojure - Awesome Book

Scala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. 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.

functional programming patterns in scala and clojure pdf

Get PDF Functional Programming Patterns in Scala and Clojure: Write Lean Programs for the JVM

In computer science , functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state of the program. In functional programming, functions are treated as first-class citizens , meaning that they can be bound to names including local identifiers , passed as arguments , and returned from other functions, just as any other data type can. This allows programs to be written in a declarative and composable style, where small functions are combined in a modular manner. Functional programming is sometimes treated as synonymous with purely functional programming , a subset of functional programming which treats all functions as deterministic mathematical functions , or pure functions.

Functional Programming Patterns in Scala and Clojure

This book introduces you, the experienced Java programmer, to Scala and Clojure: practical, production-quality languages that run on the JVM and interoperate with existing Java. Do not let people you can not do it.

Write Lean Programs for the JVM

It is an extremely well-built safety rope for those crossing the bridge between two very different worlds. Consider this mandatory reading. The functional patterns are sectioned in the back of the book separate from the functional replacements of the object-oriented patterns, making the book handy reference material. As a Scala programmer, I even picked up some new tricks along the read. Michael Bevilacqua-Linn has been programming computers ever since he dragged an Apple IIGS into his fifth grade class to explain loops and variables to pre-teenagers. He works for Comcast, where he builds distributed systems that power infrastructure for their next generation services. In his spare time he likes rock climbing and good beer, though not at the same time.

Tweet this. Solve real-life programming problems with a fraction of the code that pure object-oriented programming requires.

Use Scala and Clojure to solve in-depth problems with two sets of patterns: object-oriented patterns that become more concise with functional programming, and natively functional patterns. Your code will be more declarative, with fewer bugs and lower maintenance costs. Functional languages have their own patterns that enable you to solve problems with less code than object-oriented programming alone. This book introduces you, the experienced Java programmer, to Scala and Clojure: practical, production-quality languages that run on the JVM and interoperate with existing Java.

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