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Home> Programming> Programming Language> Soar with Haskell
Soar with Haskell
Soar with Haskell

Soar with Haskell: The ultimate beginners' guide to mastering functional programming from the ground up

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Soar with Haskell

Functions

While FP has been around for many decades, its following has only been growing rapidly in recent years. More programmers are picking up functional programming languages or are programming in a functional style in non-functional languages than ever before. At the same time, existing non-functional programming languages are adopting a growing number of FP featuresand libraries.

In these ongoing developments, Haskell stands out as a reference for all. As a purely FP language, it embodies the ideal of FP. As a trailblazer for new (functional) programming language developments, it sets the bar for other languages to follow inits tracks.

Before diving into practical FP, this chapter gives a brief overview of what FP is and how Haskell fits in. Then, we start with our first Haskell functions. We learn how to define and call functions. This includes an explanation of all the syntactic elements (types, type signature, function body, and so on) and their role. Along the way...

Technical requirements

From theWriting basic functions section onward, you will need a working Haskell environment: theGlasgow Haskell Compiler (GHC) anda code editor (e.g., Visual Studio). We refer to the Haskell website (in particular, the page athttps://www.haskell.org/get-started/) for directions on how to set up this environment. The main installer for GHC can be foundathttps://www.haskell.org/ghcup/.

The code shown in this book can be downloaded from its GitHubrepository:https://github.com/PacktPublishing/Soar-with-Haskell.

What is FP?

Before divinginto practical Haskell programming, we give a brief overview of FP, its history, and its applications. If you are eager to get your hands dirty, you may want to forge ahead to the next section, then return here at a later occasion when you are ready to put Haskellinto context.

Programming with functions

Functional programming (FP) is one of the main programming paradigms next to imperative programming andobject-oriented programming.

Declarative programming

What setsFP apart from the other two is that it is a member of thedeclarative programming family. Sometimes, theprinciple of declarative programming is summarized by saying that declarative programs statewhat should happen, not how it should happen. This means that its programs do not explicitly determine the order in which computation steps are executed; it is up to the language implementation. Haskell particularly stands out among other FP languages because it embraces the declarative...

Writing basic functions

In this section, wewrite our first Haskell functions to get acquainted with Haskell’s syntax andbasic elements.

Our first function

Let us start with a simple function for incrementingan integer:

increment :: Int -> Intincrement x = x + 1

This function definition consists of two lines. The first line is thetype signature and the second line defines the behavior of the function. The type signature states that the function has the name increment and, given a value of theInt type as input, produces a result of theInt type. Here,Int is of course the type of integers such as-1,0,and42.

The second line is anequation that says thatincrement x (wherex is any possible input) is equal tox + 1. We can read such an equation also operationally: given anyx input, theincrement function returns the resultx + 1. Here,x is called avariable; it acts as a placeholder for an actual input to the function. The resultx + 1 is called the...

Programming with primitive types

Haskell comes with several built-in primitive types that are used inmost programs.

Int and Integer

We have already used theInt type of integers in several examples. It supports four common arithmeticinfix operators:

  • (+)addition
  • (-)subtraction
  • (*)multiplication
  • (^)exponentiation

The(-) operator can also be used as a prefix operator to negate a number. Besides these operators, two useful arithmetic functions areas follows:

  1. divinteger division
  2. modmodulo

A common beginner mistake is to use the(/) operator forInt, but it is only defined for floating-point types such asFloatandDouble.

TheInt type only covers a finite range of integers. The Haskell language specification guarantees that this covers at least the integers in the range from -229 to (229-1), but the actual range can be implementation dependent. For example, in GHC 8.10.2...

Putting the type checker to work

Types are very important in Haskell. It is, after all, a statically typed language. This means that programs are (type-)checked before they are run, by a process called thetype checker. If the type checker finds that the program violates the typing discipline imposed by the language, then it raises a (type) error and the program will notbe executed.

The type checker helps in several ways during theprogramming process.

Checking function calls

Firstly, whencalling a function, it checks that we pass parameters of the appropriate type to that function. For instance, recall thatdiscount has theInt ->Float type:

*Main> discount True<interactive>:44:10: error:    • Couldn't match expected type 'Int' with actual type 'Bool'    • In the first argument of 'discount', namely 'True'      In the expression...

Combining functions

You can write larger Haskell programs by composing simple functions into morecomplex ones.

Calling functions from within functions

Functionsare composed simply by defining a more complex function in terms of simpler functions. This means that the definition of the complex function callsother functions.

For example, let us write a function to compute the price of a purchase given the price of the purchased item and the quantity at which itis purchased:

price :: Float -> Int -> Floatprice ip qty = ip * fromIntegral qty

This is already an example of the principle that a more complex function,price, calls simpler functions. In this case, the simpler functions are two predefined functions: the(*) operator and thefromIntegral function. Recall that thefromIntegral conversion is needed to convert theInt quantity to aFloat type before it can be multiplied by theitem price.

When our business logic evolves, we can introduce a discounted price...

Summary

This chapter has given us a brief introduction to FP and Haskell. We have written our first basic Haskell functions, used Haskell’s primitive types, and combined individual functions into larger programs. We have also learned about type checking and how ithelps us.

InChapter 2,Algebraic Datatypes, we will learn how to define our own custom datatypes, how to create values of these types with constructors, and how to take those values apart with pattern matching. We will also familiarize ourselves with a powerful abstraction mechanism for types that is used ubiquitously in Haskell:parametric polymorphism.

Questions

  1. What are the key characteristics of theHaskell language?
  2. What is the purpose of parenthesesin Haskell?
  3. What is the difference between theInt andInteger types?
  4. How does the type checker help in theprogramming process?
  5. What are the different ways in which we can definelocal functions?

Further reading

  • Haskell 98 Language and Libraries: The Revised Report. Simon Peyton Jones et al. December2002.https://www.haskell.org/onlinereport/
  • A history of Haskell: being lazy with class. Paul Hudak, John Hughes, Simon L. Peyton Jones, Philip Wadler. HOPL2007: 1-55.

Answers

  1. Haskell is a lazy, purely FP language that is both principledand nimble.
  2. Parentheses are used for overriding or disambiguating the precedence of function andoperator applications.
  3. Because theInt type uses a fixed-size representation, it has a bounded range and wraps around when going beyond that range. In contrast, because the size of anInteger value is not fixed, it can bearbitrarily large.
  4. The type checker makes sure that function definitions conform to their type signature and that function calls likewise respect that type signature. It also disambiguates overloaded functions and operators, and can automatically infer type signatures when noneare given.
  5. Haskell provides two different syntaxes for this. Withletin…, we can define a local function anywhere in an expression. In contrast, awhere clause can define a function local toan equation.
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Key benefits

  • Learn from an expert lecturer and researcher who knows all the ins and outs of Haskell
  • Develop a clear understanding of Haskell, from the basics through to advanced concepts
  • Get to grips with all the key functional programming techniques
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

With software systems reaching new levels of complexity and programmers aiming for the highest productivity levels, software developers and language designers are turning toward functional programming because of its powerful and mature abstraction mechanisms. This book will help you tap into this approach with Haskell, the programming language that has been leading the way in pure functional programming for over three decades.The book begins by helping you get to grips with basic functions and algebraic datatypes, and gradually adds abstraction mechanisms and other powerful language features. Next, you’ll explore recursion, formulate higher-order functions as reusable templates, and get the job done with laziness. As you advance, you’ll learn how Haskell reconciliates its purity with the practical need for side effects and comes out stronger with a rich hierarchy of abstractions, such as functors, applicative functors, and monads. Finally, you’ll understand how all these elements are combined in the design and implementation of custom domain-specific languages for tackling practical problems such as parsing, as well as the revolutionary functional technique of property-based testing.By the end of this book, you’ll have mastered the key concepts of functional programming and be able to develop idiomatic Haskell solutions.

Who is this book for?

If you are a programmer looking to gain knowledge of Haskell who’s never been properly introduced to functional programming, this book is for you. Basic experience with programming in a non-functional language is a prerequisite. This book also serves as an excellent guide for programmers with limited exposure to Haskell who want to deepen their understanding and foray further into the language.

What you will learn

  • Write pure functions in all their forms – that is basic, recursive, and higher-order functions
  • Model your data using algebraic datatypes
  • Master Haskell's powerful type-class mechanism for ad hoc overloading
  • Find out how Haskell's laziness gets the job done
  • Reconcile Haskell's functional purity with side effects
  • Familiarize yourself with the functor, applicative functor, monad hierarchy
  • Discover how to solve problems with domain-specific languages
  • Find more bugs with Haskell's property-based testing approach

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Table of Contents

22 Chapters
Part 1:Basic Functional ProgrammingChevron down iconChevron up icon
Part 1:Basic Functional Programming
Chapter 1: FunctionsChevron down iconChevron up icon
Chapter 1: Functions
Technical requirements
What is FP?
Writing basic functions
Programming with primitive types
Putting the type checker to work
Combining functions
Summary
Questions
Further reading
Answers
Chapter 2: Algebraic DatatypesChevron down iconChevron up icon
Chapter 2: Algebraic Datatypes
Enumerations
Records
Full-blown algebraic datatypes
Parametric polymorphism
Parametric ADTs
Summary
Questions
Answers
Chapter 3: RecursionChevron down iconChevron up icon
Chapter 3: Recursion
Standard libraries
Lists
Custom list processing
Recursive datatypes
Structural recursion
Variants on structural recursion
Non-structural recursion
Summary
Questions
Answers
Chapter 4: Higher-Order FunctionsChevron down iconChevron up icon
Chapter 4: Higher-Order Functions
Abstracting over functions
An abstraction for structural recursion
Common HOFs
Writing compact code with HOF
Summary
Questions
Answers
Part 2: Haskell-Specific FeaturesChevron down iconChevron up icon
Part 2: Haskell-Specific Features
Chapter 5: First-Class FunctionsChevron down iconChevron up icon
Chapter 5: First-Class Functions
Anonymous functions
Currying and partial application
Eta reduction
Function composition
Functions as data structures
Summary
Questions
Answers
Chapter 6: Type ClassesChevron down iconChevron up icon
Chapter 6: Type Classes
Ad hoc polymorphism
Type class instances
Common type classes
Library uses of type classes
Custom type class example
Summary
Questions
Further reading
Answers
Chapter 7: Lazy EvaluationChevron down iconChevron up icon
Chapter 7: Lazy Evaluation
Evaluation strategies
Call by Need
Programming with lazy evaluation
Lazy memory leaks
Summary
Questions
Answers
Chapter 8: Input/OutputChevron down iconChevron up icon
Chapter 8: Input/Output
Technical requirements
Haskell versus I/O – a thought experiment
The IO approach
The do notation
Library functions by example
Summary
Questions
Further reading
Answers
Part 3: Functional Design PatternsChevron down iconChevron up icon
Part 3: Functional Design Patterns
Chapter 9: Monoids and FoldablesChevron down iconChevron up icon
Chapter 9: Monoids and Foldables
Semigroups and monoids
Semigroups
Kinds and type constructors
Foldables
Case study – Sortedness
Summary
Questions
Further reading
Answers
Chapter 10: Functors, Applicative Functors, and TraversablesChevron down iconChevron up icon
Chapter 10: Functors, Applicative Functors, and Traversables
Functors
Applicative functors
Applicative functors and effects
Traversables
Summary
Questions
Further reading
Answers
Chapter 11: MonadsChevron down iconChevron up icon
Chapter 11: Monads
Failing with Maybe
State-passing
The monad type class
More monads
Summary
Questions
Answers
Chapter 12: Monad TransformersChevron down iconChevron up icon
Chapter 12: Monad Transformers
Combining monadic effects
Monad transformers
Other monad transformers
Monad subclasses
Monad transformer gotchas
Summary
Questions
Further reading
Answers
Part 4: Practical ProgrammingChevron down iconChevron up icon
Part 4: Practical Programming
Chapter 13: Domain-Specific LanguagesChevron down iconChevron up icon
Chapter 13: Domain-Specific Languages
A DSL for formatting
A DSL for financial contracts
Implementing DSLs
Summary
Questions
Further reading
Answers
Chapter 14: Parser CombinatorsChevron down iconChevron up icon
Chapter 14: Parser Combinators
Parsing
Parser combinators
The Parsec library
Parsing challenges – expressions revisited
Summary
Questions
Further reading
Answers
Chapter 15: LensesChevron down iconChevron up icon
Chapter 15: Lenses
Technical requirements
Records and deep access
Lenses and their composition
Programmatic data access
Advanced lenses
Summary
Questions
Further reading
Answers
Chapter 16: Property-Based TestingChevron down iconChevron up icon
Chapter 16: Property-Based Testing
Unit testing versus property-based testing
Generators
Shrinking
Test properties – a case study
Summary
Questions
Further reading
Answers
IndexChevron down iconChevron up icon
Index
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Customer reviews

Rating distribution
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Balaji KothandaramanFeb 25, 2024
Full star iconFull star iconFull star iconFull star iconFull star icon5
“Soar with Haskell” by Tom is a concise yet comprehensive guide that propels readers into the world of Haskell programming. Through clear explanations and practical examples, Tom demystifies Haskell’s concepts, making them accessible to beginners while offering insights for experienced developers. This book serves as an invaluable resource for anyone looking to soar to new heights in functional programming with Haskell.
Amazon Verified reviewAmazon
Jacob QuamFeb 19, 2024
Full star iconFull star iconFull star iconFull star iconFull star icon5
This book is a comprehensive and thoughtfully crafted guide to Haskell and functional programming (FP) that stands as an essential resource for both beginners and experienced programmers alike. From the foundational concepts of FP and Haskell's syntax to advanced topics like type classes, monads, and domain-specific languages, the book covers a wide array of subjects necessary for mastering Haskell and functional programming paradigms.The structure of the book is meticulously organized, starting with the basics of functional programming, such as writing basic functions, understanding primitive types, and leveraging the type checker for more robust code. This foundational knowledge is crucial for anyone new to FP and sets the stage for more complex topics.The chapters on algebraic data types, higher-order functions, and recursion are particularly illuminative, offering clear explanations and practical examples that demonstrate the power and elegance of Haskell. The discussion on type classes and monads—topics often considered challenging for newcomers—is handled with care, making these concepts accessible and understandable.One of the book's strengths is its emphasis on practical application, as seen in the sections on input/output, property-based testing, and parser combinators. These chapters not only deepen the reader's understanding of Haskell's capabilities but also equip them with the tools to tackle real-world programming challenges.Moreover, the exploration of Haskell-specific features, such as lazy evaluation and monad transformers, showcases the unique advantages of Haskell and functional programming. These advanced topics are presented in a way that builds on the reader's existing knowledge, ensuring a deeper and more integrated understanding of the material.The inclusion of questions, further reading suggestions, and answers at the end of each chapter reinforces learning and encourages further exploration. Additionally, the book's approach to teaching Haskell through a combination of theoretical explanations and practical examples makes it an invaluable resource for anyone looking to learn or deepen their understanding of Haskell and functional programming.In summary, this book is a testament to the depth and breadth of Haskell as a programming language. Its clear explanations, practical examples, and thoughtful organization make it an indispensable guide for anyone interested in mastering Haskell and functional programming. Whether you're a beginner eager to learn Haskell from the ground up or an experienced programmer looking to deepen your understanding of functional programming concepts, this book is a valuable addition to your programming library.
Amazon Verified reviewAmazon
Giri PrasathJan 31, 2024
Full star iconFull star iconFull star iconFull star iconFull star icon5
This book is shows the world to functional programming. It has cover in depth to haskellIt is a great book for haskell enthusiast's.
Amazon Verified reviewAmazon
tusharJan 28, 2024
Full star iconFull star iconFull star iconFull star iconEmpty star icon4
This book stands out for its conciseness and direct approach. It assumes a foundational understanding of imperative or object-oriented programming languages, allowing it to dive straight into the intricacies of Haskell without unnecessary repetition. The pacing is well-balanced, offering a comfortable learning curve without feeling rushed or overly slow.One notable strength is the book's coverage of the features in the latest GHC-9 compiler version, a detail often lacking in other resources. This up-to-date content adds significant value for readers aiming to stay current with Haskell development.The only drawback I encountered was the relatively limited number of problems at the end of each chapter. Despite this minor concern, the overall quality of the book makes it a worthwhile investment for anyone looking to make a smooth transition from imperative to functional programming.In summary, this book provides an excellent bridge for programmers familiar with imperative paradigms, offering a clear path into the fascinating world of Haskell."
Amazon Verified reviewAmazon

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About the author

Profile icon Schrijvers
Schrijvers
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Tom Schrijvers is a professor of computer science at KU Leuven in Belgium since 2014, and previously from 2011 until 2014 at Ghent University in Belgium. He has over 20 years of research experience in programming languages and has co-authored more than 100 scientific papers. Much of his research focuses on functional programming and on the Haskell programming language in particular: he has made many contributions to the language, its ecosystem and applications, and chaired academic events like the Haskell Symposium. At the same time, he has more than a decade of teaching experience (including functional programming with Haskell) and received several teaching awards.
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When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.


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