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Practical Haskell
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.
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Effective Haskell
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.
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Haskell School of Expression
Functional programming is a style of programming that emphasizes the use of functions (in contrast to object-oriented programming, which emphasizes the use of objects). It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easily found and referred to.
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Haskell Quick Syntax Reference
This condensed code and syntax reference presents the essential Haskell syntax in a well-organized format that can be used as a quick and handy reference, including applications to cloud computing and data analysis. This book covers the functional programming features of Haskell as well as strong static typing, lazy evaluation, extensive parallelism, and concurrency You won’t find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise, to the point and highly accessible. The Haskell Quick Syntax Reference is packed with useful information and is a must-have for any Haskell programmer working in big data, data science, and cloud computing.What You Will LearnQuickly and effectively use the Haskell programming languageTake advantage of strong static typingWork with lazy evaluations Harness concurrency and extensive parallelism using HaskellWho This Book Is ForExperienced programmers who may be new to Haskell or have experience with Haskell and who just want a quick reference guide on it.
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Programming in Haskell
Haskell is a purely functional language that allows programmers to rapidly develop clear, concise, and correct software. The language has grown in popularity in recent years, both in teaching and in industry. This book is based on the author's experience of teaching Haskell for more than twenty years. All concepts are explained from first principles and no programming experience is required, making this book accessible to a broad spectrum of readers. While Part I focuses on basic concepts, Part II introduces the reader to more advanced topics. This new edition has been extensively updated and expanded to include recent and more advanced features of Haskell, new examples and exercises, selected solutions, and freely downloadable lecture slides and example code. The presentation is clean and simple, while also being fully compliant with the latest version of the language, including recent changes concerning applicative, monadic, foldable, and traversable types.
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Haskell School of Expression
Functional programming is a style of programming that emphasizes the use of functions (in contrast to object-oriented programming, which emphasizes the use of objects). It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easily found and referred to.
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Magical Haskell
Discover a unique and fun approach to adopting modern typed functions programming patterns. This book uses playful metaphors and examples to help you learn Haskell through imagination, building on math without relying on imperative crutches or technical complexity. You’ll use math to build completely different Typed Functional patterns from the ground up and understand the link between building Mathematics through Types and constructing Haskell as a programming language. Intended for working with various applications, especially AI-powered apps, the book gently builds up to what are normally considered complex and difficult concepts all without needing a PhD to understand them. Illustrative explanations will guide you to tackle monads, using monad transformer stacks to structure real programs, foldable and traversable structures, as well as other Type classes. This book will also help you structure programs efficiently and apply your own abstractions to real-life problem domains. Next, you’ll explore exciting advancements in AI, including building with OpenAI APIs, creating a terminal chatbot, adding web functionality, and enhancing with retrieval-augmented generation. Finally, you’ll delve into AI multi-agents and future directions using Arrows abstraction, reinforcing Haskell’s design.Magical Haskell is a solution for programmers who feel limited by imperative programming languages but are also put off by excessively mathematical approaches.What You Will LearnGrasp a solid math foundation without complex technicalities for Types and Typeclasses.Solve problems via a typed functional approach and understand why it’s superior to what’s available in the imperative language world (“if it compiles, it runs”).Build your own abstractions to efficiently resolve problems in any given domain.Develop AI frameworks in Haskell, including chatbots, web functionality, and retrieval-augmented generation.Who This Book Is ForHaskell programmers of all levels and those interested in Type Theory.
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Haskell School of Music
This book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help understand concepts that might be intimidating in more traditional computer science settings. Conversely, the book opens the door for programmers to interact with music by using a medium that is familiar to them. Readers will learn how to use the Euterpea library for Haskell (http://www.euterpea.com) to represent and create their own music with code, without the need for other music software. The book explores common paradigms used in algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems. Other topics covered include the basics of signal-based systems in Haskell, sound synthesis, and virtual instrument design.
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Real World Haskell
Code You Can Believe In
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Parallel and Concurrent Programming in Haskell
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language's many APIs and frameworks for writing both parallel and concurrent programs. You'll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network
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Learn You A Haskell For Great Good
It's all in the name: Learn You a Haskell for Great Good! is a hilarious, illustrated guide to this complex functional language. Packed with the author's original artwork, pop culture references, and most importantly, useful example code, this book teaches functional fundamentals in a way you never thought possible. You'll start with the kid stuff: basic syntax, recursion, types and type classes. Then once you've got the basics down, the real black belt master-class begins: you'll learn to use applicative functors, monads, zippers, and all the other mythical Haskell constructs you've only read about in storybooks. As you work your way through the author's imaginative (and occasionally insane) examples, you'll learn to: Laugh in the face of side effects as you wield purely functional programming techniques Use the magic of Haskell's 'laziness' to play with infinite sets of data Organize your programs by creating your own types, type classes, and modules Use Haskell's elegant input/
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Haskell Design Patterns
Take your Haskell and functional programming skills to the next level by exploring new idioms and design patternsAbout This Book• Explore Haskell on a higher level through idioms and patterns• Get an in-depth look into the three strongholds of Haskell: higher-order functions, the Type system, and Lazy evaluation• Expand your understanding of Haskell and functional programming, one line of executable code at a timeWho This Book Is ForIf you're a Haskell programmer with a firm grasp of the basics and ready to move more deeply into modern idiomatic Haskell programming, then this book is for you.What You Will Learn• Understand the relationship between the “Gang of Four” OOP Design Patterns and Haskell• Try out three ways of Streaming I/O: imperative, Lazy, and Iteratee based• Explore the pervasive pattern of Composition: from function composition through to high-level composition with Lenses• Synthesize Functor, Applicative, Arrow and Monad in a single conceptual framework• Follow the grand arc of Fold and Map on lists all the way to their culmination in Lenses and Generic Programming• Get a taste of Type-level programming in Haskell and how this relates to dependently-typed programming• Retrace the evolution, one key language extension at a time, of the Haskell Type and Kind systems• Place the elements of modern Haskell in a historical frameworkIn DetailDesign patterns and idioms can widen our perspective by showing us where to look, what to look at, and ultimately how to see what we are looking at. At their best, patterns are a shorthand method of communicating better ways to code (writing less, more maintainable, and more efficient code).This book starts with Haskell 98 and through the lens of patterns and idioms investigates the key advances and programming styles that together make "modern Haskell". Your journey begins with the three pillars of Haskell. Then you'll experience the problem with Lazy I/O, together with a solution. You'll also trace the hierarchy formed by Functor, Applicative, Arrow, and Monad. Next you'll explore how Fold and Map are generalized by Foldable and Traversable, which in turn is unified in a broader context by functional Lenses. You'll delve more deeply into the Type system, which will prepare you for an overview of Generic programming. In conclusion you go to the edge of Haskell by investigating the Kind system and how this relates to Dependently-typed programming.Style and approachUsing short pieces of executable code, this guide gradually explores the broad pattern landscape of modern Haskell. Ideas are presented in their historical context and arrived at through intuitive derivations, always with a focus on the problems they solve.
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Introduction to Functional Programming Systems Using Haskell
Here is an introduction to functional programming and its associated systems. A unique feature is its use of the language Haskell for teaching both the rudiments and the finer points of the functional technique. Haskell is a new, internationally agreed and accepted functional language that is designed for teaching, research and applications, that has a complete formal description, that is freely available, and that is based on ideas that have a wide consensus. Thus it encapsulates some of the main thrusts of functional programming itself, which is a style of programming designed to confront the software crisis directly. Programs written in functional languages can be built up from smaller parts, and they can also be proved correct, important when software has to be reliable. Moreover, a certain amount of parallelism can be extracted from functional languages automatically. This book serves as an introduction both to functional programming and Haskell, and will be most useful to students, teachers and researchers in either of these areas. An especially valuable feature are the chapters on programming and implementation, along with a large number of exercises.
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Haskell-Intensivkurs
Das Buch bietet eine kompakte Einführung in die funktionale Programmierung mit Haskell. Die Autoren vermitteln zunächst anhand von Beispielen grundlegende Konzepte, die das Fundament für die funktionale Programmentwicklung bilden. Anschließend werden fortgeschrittene Aspekte behandelt und zahlreiche neue Anwendungen und Themengebiete vorgestellt. Mit Übungsaufgaben zu jedem Kapitel und Lösungen am Ende des Buchs kann der Stoff auch im Selbststudium erarbeitet werden. Die Webseite zum Buch enthält Beispiele und weitere Materialien.
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Practical Concurrent Haskell
Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll LearnProgram with HaskellHarness concurrency to HaskellApply Haskell to big data and cloud computing applicationsUse Haskell concurrency design patterns in big dataAccomplish iterative data processing on big data using HaskellUse MapReduce and work with Haskell on large clustersWho This Book Is ForThose with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.
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Haskell High Performance Programming
Boost the performance of your Haskell applications using optimization, concurrency, and parallel programmingAbout This Book• Explore the benefits of lazy evaluation, compiler features, and tools and libraries designed for high performance• Write fast programs at extremely high levels of abstraction• Work through practical examples that will help you address the challenges of writing efficient codeWho This Book Is ForTo get the most out of this book, you need to have a working knowledge of reading and writing basic Haskell. No knowledge of performance, optimization, or concurrency is required.What You Will Learn• Program idiomatic Haskell that's also surprisingly efficient• Improve performance of your code with data parallelism, inlining, and strictness annotations• Profile your programs to identify space leaks and missed opportunities for optimization• Find out how to choose the most efficient data and control structures• Optimize the Glasgow Haskell Compiler and runtime system for specific programs• See how to smoothly drop to lower abstractions wherever necessary• Execute programming for the GPU with Accelerate• Implement programming to easily scale to the cloud with Cloud HaskellIn DetailHaskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs.We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We'll demonstrate the benefits of running multithreaded and concurrent applications. Next we'll guide you through various profiling tools that will help you identify performance issues in your program. We'll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples.By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.Style and approachThis easy-to-follow guide teaches new practices and techniques to optimize your code, and then moves towards more advanced ways to effectively write efficient Haskell code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.
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Soar with Haskell
Build powerful software solutions and develop proficiency in Haskell, from understanding the foundational principles through to mastering advanced functional programming conceptsKey FeaturesLearn from an expert lecturer and researcher who knows all the ins and outs of HaskellDevelop a clear understanding of Haskell, from the basics through to advanced conceptsGet to grips with all the key functional programming techniquesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWith 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.What you will learnWrite pure functions in all their forms – that is basic, recursive, and higher-order functionsModel your data using algebraic datatypesMaster Haskell’s powerful type-class mechanism for ad hoc overloadingFind out how Haskell’s laziness gets the job doneReconcile Haskell’s functional purity with side effectsFamiliarize yourself with the functor, applicative functor, monad hierarchyDiscover how to solve problems with domain-specific languagesFind more bugs with Haskell’s property-based testing approachWho this book is forIf 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.
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Category Theory Using Haskell
This unique book offers an introductory course on category theory, which became a working language in algebraic geometry and number theory in the 1950s and began to spread to logic and computer science soon after it was created.Offering excellent use of helpful examples in Haskell, the work covers (among other things) concepts of functors, natural transformations, monads, adjoints, universality, category equivalence, and many others. The main goal is to understand the Yoneda lemma, which can be used to reverse-engineer the implementation of a function. Later chapters offer more insights into computer science, including computation with output, nondeterministic computation, and continuation passing. Topics and features:Contains rigorous mathematical arguments to support the theoryProvides numerous Haskell code-implementing examplesEngages with plentiful diagram chasing, with special emphasis on the design patterns for constructing a large diagram out of basic small piecesOffers insights into category theory to quantum computing and the foundation of computing disciplineServes as a preparatory course for monoidal categories and higher categoriesThe work will be useful to undergraduate students in computer science who have enough background in college mathematics such as linear algebra and basics in Haskell polymorphic functions. Further, it will appeal to graduate students and researchers in computing disciplines who want to newly acquire serious knowledge of category theory.
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Thinking Functionally with Haskell
Richard Bird is famed for the clarity and rigour of his writing. His new textbook, which introduces functional programming to students, emphasises fundamental techniques for reasoning mathematically about functional programs. By studying the underlying equational laws, the book enables students to apply calculational reasoning to their programs, both to understand their properties and to make them more efficient. The book has been designed to fit a first- or second-year undergraduate course and is a thorough overhaul and replacement of his earlier textbooks. It features case studies in Sudoku and pretty-printing, and over 100 carefully selected exercises with solutions. This engaging text will be welcomed by students and teachers alike.
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Thinking Functionally with Haskell
Richard Bird is famed for the clarity and rigour of his writing. His new textbook, which introduces functional programming to students, emphasises fundamental techniques for reasoning mathematically about functional programs. By studying the underlying equational laws, the book enables students to apply calculational reasoning to their programs, both to understand their properties and to make them more efficient. The book has been designed to fit a first- or second-year undergraduate course and is a thorough overhaul and replacement of his earlier textbooks. It features case studies in Sudoku and pretty-printing, and over 100 carefully selected exercises with solutions. This engaging text will be welcomed by students and teachers alike.
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Algorithm Design with Haskell
This book is devoted to five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and exhaustive search. These principles are presented using Haskell, a purely functional language, leading to simpler explanations and shorter programs than would be obtained with imperative languages. Carefully selected examples, both new and standard, reveal the commonalities and highlight the differences between algorithms. The algorithm developments use equational reasoning where applicable, clarifying the applicability conditions and correctness arguments. Every chapter concludes with exercises (nearly 300 in total), each with complete answers, allowing the reader to consolidate their understanding and apply the techniques to a range of problems. The book serves students (both undergraduate and postgraduate), researchers, teachers, and professionals who want to know more about what goes into a good algorithm and how such algorithms can be expressed in purely functional terms.
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Voices from Haskell
Haskell Institute of Lawrence, Kansas, first opened its doors in 1884 to twenty-two Ponca and Ottawa children, sent there to be taught Anglo-Protestant cultural values. For a century and a quarter since that time, this famous boarding school institution has challenged and touched the lives of tens of thousands of Indian students and their families representing a diverse array of tribal heritages. ""Voices from Haskell"" chronicles the formative years of this unique institution through the vivid memories and words of the students who attended.Drawing on children's own accounts in letters, diaries, and other first-hand sources, Myriam Vuckovic reveals what Haskell's students really thought about the boarding school experience. By examining the cultural encounters and contests that occurred there, she portrays indigenous youth struggling to retain a sense of dignity and Indian identity - and refusing to become passive victims of assimilation.Vuckovic focuses on issues that directly affected the students, such as curriculum, health, gender differences, and extracurricular activities. She doesn't flinch from the harsh realities of daily life: poor diet, overcrowding, inadequate medical care, and students forced to work to maintain school facilities and often subjected to harsh punishments. In response to this hostile environment, students developed a subculture of accommodation and resistance - sometimes using sign language as a way around the 'English only' rule - that also helped break down barriers between tribes. Many found a positive experience in the education they received and discovered new sources of pride, such as the Native American Church, Haskell's renowned football team, and its equally accomplished school band.Haskell is the only former government boarding school to evolve into a four-year university and still boasts a unique intertribal character, providing a culturally diverse learning environment for more than 1,000 students from 150 tribes every year. The first in-depth study of the school from its founding through the first quarter of the twentieth century, ""Voices from Haskell"" is a frank look at its history, a tribute to its accomplishments, and a major contribution to studies of the Indian boarding school experience.
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Getting Started with Haskell Data Analysis
Put your Haskell skills to work and generate publication-ready visualizations in no time at allKey FeaturesTake your data analysis skills to the next level using the power of HaskellUnderstand regression analysis, perform multivariate regression, and untangle different cluster varietiesCreate publication-ready visualizations of dataBook DescriptionEvery business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner.This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world.By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis.What you will learnLearn to parse a CSV file and read data into the Haskell environmentCreate Haskell functions for common descriptive statistics functionsCreate an SQLite3 database using an existing CSV fileLearn the versatility of SELECT queries for slicing data into smaller chunksApply regular expressions in large-scale datasets using both CSV and SQLite3 filesCreate a Kernel Density Estimator visualization using normal distributionWho this book is forThis book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.
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Developing Web Applications with Haskell and Yesod 2e
This fast-moving guide introduces web application development with Haskell and Yesod, a potent language/framework combination that supports high-performing applications that are modular, type-safe, and concise. Fully updated for Yesod 1.4, this second edition shows you how Yesod handles widgets, forms, persistence, and RESTful content. Author Michael Snoyman also introduces various Haskell tools to supplement your basic knowledge of the language. By the time you finish this book, you'll create a production-quality web application with Yesod's ready-to-use scaffolding. You'll also examine several real-world examples, including a blog, a wiki, a JSON web service, and a Sphinx search server.Build a simple application to learn Yesod's foundation datatype and Web Application Interface (WAI) Output HTML, CSS, and Javascript with Shakespearean template languages Get an indepth look at Yesod's core monads for producing cleaner, more modular code Probe Yesod's internal workings: learn the request handling process for a typical application Build forms on top of widgets by implementing the yesod-form declarative API Learn how Yesod and Haskell handle persistence and session data Serve an HTML page and a machine-friendly JSON page from the same URL
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