Haskell Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Librar

Description: Haskell Quick Syntax Reference by Stefania Loredana Nita, Marius Mihailescu 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 wont 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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 wont 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. You will: Quickly and effectively use the Haskell programming language Take advantage of strong static typing Work with lazy evaluations Harness concurrency and extensive parallelism using Haskell Author Biography Stefania Loredana Nita holds two B.Sc., one in mathematics (2013) and one in computer science (2016) from the University of Bucharest, Faculty of Mathematics and Computer Science; she received her M.Sc. in software engineering (2016) from the University of Bucharest, faculty of Mathematics and Computer Science. She has worked as developer for an insurance company (Gothaer Insurance), and as a teacher of mathematics and computer science in private centers of education. Currently, she is a Ph.D. student in computer science in the Faculty of Mathematics and Computer Science at the University of Bucharest. Also, she is a teaching assistant at the same university and since 2015 has worked as a researcher and developer at the Institute for Computers, Bucharest, Romania. Her domains of interest are cryptography applied in cloud computing and big data, parallel computing and distributed systems, and software engineering.Marius Mihailescu received his B.Sc. in science and information technology (2008) and B.Eng. in computer engineering (2009) from the University of Southern Denmark; he holds two M.Sc., one in software engineering (2010) from the University of Bucharest and the second one in information security technology (2011) from the Military Technical Academy. His Ph.D. is in computer science (2015) from the University of Bucharest, Romania with a thesis on security of biometrics authentication protocols. From 2005 to 2011 he worked as a software developer and researcher for different well-known companies (Softwin, NetBridge Investments, Declic) from Bucharest, Romania (software and web development, business analysis, parallel computing, cryptography researching, distributed systems). Starting in 2012 until 2015 he has been an assistant in the informatics department, University of Titu Maiorescu and computer science department, University of Bucharest. Since 2015, he is a lecturer at the University of South-East Lumina. Table of Contents 1. Functional Programming.- 2. Static Typing.- 3. GHC.- 4. Types.- 5. Tuples.- 6. Lists.- 7. Functions.- 8. Recursion.- 9. List Comprehension.- 10. Classes.- 11. Pattern Matching.- 12. Monads.- 13. Monads Transformers.- 14. Parsecs.- 15. Folds.- 16. Algorithms.- 17. Parsings.- 18. Parallelism.- 19. Haskell Pipes.- 20. Lens.- 21. Lazy Evaluation.- 22. Performance.- 23. Haskell Stack.- 24. Yesod.- 25. Haskell Libraries.- 26. Cabal. Feature Written by Haskell experts who are professional coders, engineers and lecturers/trainers A unique quick syntax reference guide to the Haskell programming language Covers Haskells functional programming features, as well as strong static typing, lazy evaluation, extensive parallelism, and concurrency Details ISBN1484245067 Author Marius Mihailescu Publisher APress Year 2019 Edition 1st ISBN-10 1484245067 ISBN-13 9781484245064 Format Paperback Imprint APress Subtitle A Pocket Guide to the Language, APIs, and Library Place of Publication Berkley Country of Publication United States Pages 207 Publication Date 2019-06-11 DEWEY 005.133 Short Title Haskell Quick Syntax Reference Language English DOI 10.1007/978-1-4842-4507-1 AU Release Date 2019-06-11 NZ Release Date 2019-06-11 US Release Date 2019-06-11 UK Release Date 2019-06-11 Illustrations 33 Illustrations, black and white; XX, 207 p. 33 illus. Edition Description 1st ed. 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