Unlike any other programming language, Haskell is purely functional
with a strong type system and lazy evaluation. It is arguable the most
interesting language but also has the reputation of being one of the
most challenging to learn. Learning Haskell doesn't have to be
difficult, and this book can help!
Get Programming with Haskell introduces you to the Haskell language
without drowning you in academic jargon and heavy functional
programming theory. By working through 43 easy-to-follow lessons,
you'll learn Haskell by doing Haskell. This book starts with first
concepts, building your knowledge with concrete examples and
exercises. You'll learn to think the Haskell way, as you start to
understand the language and how to use it effectively. And you'll really
appreciate the crystal-clear illustrations, quick-checks, and open-ended
tasks that make sure you're solid on each new concept before you move
along!
KEY FEATURES
• Full of interesting examples
• Easy approach to functional programming basics
• Write safe, predictable code with fewer bugs
• Lots of illustrations and exercises
Readers should have some experience with JavaScript, Python or
Ruby. No functional programming or math skills required.
ABOUT THE TECHNOLOGY
Haskell is a purely functional programming language. It treats programs as
much like math as you can, requires you to think more than you type, and
can express the idea of infinite lists in code! These are just the more obvious
features that make Haskell unlike any other programming language
AUTHOR BIO
Will Kurt currently works as a Data Scientist at Quick Sprout. With a
formal background in both Computer Science (MS) and English Literature
(BA) he is fascinated with explaining complex technical topics as clearly
and generally as possible. He has taught a course section on Haskell at the
University of Nevada, Reno and given workshops on Functional
Programming. He also blogs about probability at CountBayesie.com.
"Sinopsis" puede pertenecer a otra edición de este libro.
AUTHOR BIO
Will Kurt currently works as a Data Scientist at Quick Sprout. With aformal background in both Computer Science (MS) and English Literature
(BA) he is fascinated with explaining complex technical topics as clearly
and generally as possible. He has taught a course section on Haskell at the
University of Nevada, Reno and given workshops on Functional
Programming. He also blogs about probability at CountBayesie.com.
"Sobre este título" puede pertenecer a otra edición de este libro.
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