Programming from First Principles
Author | : Richard Bornat |
Publisher | : Prentice Hall |
Total Pages | : 564 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Download Programming From First Principles full books in PDF, epub, and Kindle. Read online free Programming From First Principles ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Richard Bornat |
Publisher | : Prentice Hall |
Total Pages | : 564 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Author | : Christopher Allen |
Publisher | : |
Total Pages | : |
Release | : 2016-07-01 |
Genre | : |
ISBN | : 9781945388033 |
Haskell Programming makes Haskell as clear, painless, and practical as it can be, whether you're a beginner or an experienced hacker. Learning Haskell from the ground up is easier and works better. With our exercise-driven approach, you'll build on previous chapters such that by the time you reach the notorious Monad, it'll seem trivial.
Author | : Graham Hutton |
Publisher | : Cambridge University Press |
Total Pages | : 184 |
Release | : 2007-01-15 |
Genre | : Computers |
ISBN | : 1139461222 |
Haskell is one of the leading languages for teaching functional programming, enabling students to write simpler and cleaner code, and to learn how to structure and reason about programs. This introduction is ideal for beginners: it requires no previous programming experience and all concepts are explained from first principles via carefully chosen examples. Each chapter includes exercises that range from the straightforward to extended projects, plus suggestions for further reading on more advanced topics. The author is a leading Haskell researcher and instructor, well-known for his teaching skills. The presentation is clear and simple, and benefits from having been refined and class-tested over several years. The result is a text that can be used with courses, or for self-learning. Features include freely accessible Powerpoint slides for each chapter, solutions to exercises and examination questions (with solutions) available to instructors, and a downloadable code that's fully compliant with the latest Haskell release.
Author | : Noam Nisan |
Publisher | : |
Total Pages | : 343 |
Release | : 2008 |
Genre | : Computers |
ISBN | : 0262640686 |
This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.
Author | : Will Kurt |
Publisher | : Simon and Schuster |
Total Pages | : 794 |
Release | : 2018-03-06 |
Genre | : Computers |
ISBN | : 1638356777 |
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
Author | : Shane Parrish |
Publisher | : Penguin |
Total Pages | : 209 |
Release | : 2024-10-15 |
Genre | : Business & Economics |
ISBN | : 0593719972 |
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
Author | : Peter M. Kogge |
Publisher | : McGraw-Hill Companies |
Total Pages | : 774 |
Release | : 1991 |
Genre | : Computers |
ISBN | : |
Focuses on the design and implementation of two classes of non-von Neumann computer architecture: those designed for functional and logical language computing.
Author | : Hridesh Rajan |
Publisher | : MIT Press |
Total Pages | : 305 |
Release | : 2022-05-03 |
Genre | : Computers |
ISBN | : 0262045451 |
A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language. This introductory textbook uses a hands-on approach to teach the principles of programming languages. Using Java as the implementation language, Rajan covers a range of emerging topics, including concurrency, Big Data, and event-driven programming. Students will learn to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. Develops basic concepts in languages, including means of computation, means of combination, and means of abstraction. Examines imperative features such as references, concurrency features such as fork, and reactive features such as event handling. Covers language features that express differing perspectives of thinking about computation, including those of logic programming and flow-based programming. Presumes Java programming experience and understanding of object-oriented classes, inheritance, polymorphism, and static classes. Each chapter corresponds with a working implementation of a small programming language allowing students to follow along.
Author | : Joel Grus |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 336 |
Release | : 2015-04-14 |
Genre | : Computers |
ISBN | : 1491904399 |
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Author | : Rob Miles |
Publisher | : Independently Published |
Total Pages | : 224 |
Release | : 2018-10-19 |
Genre | : |
ISBN | : 9781728724966 |
Learn C# from first principles the Rob Miles way. With jokes, puns, and a rigorous problem solving based approach.You can download all the code samples used in the book from here: http: //www.robmiles.com/s/Yellow-Book-Code-Samples-64.z