PDF Download Purely Functional Data Structures
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Purely Functional Data Structures
PDF Download Purely Functional Data Structures
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Product details
Paperback: 232 pages
Publisher: Cambridge University Press (June 13, 1999)
Language: English
ISBN-10: 0521663504
ISBN-13: 978-0521663502
Product Dimensions:
6 x 0.6 x 9 inches
Shipping Weight: 14.6 ounces (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
19 customer reviews
Amazon Best Sellers Rank:
#340,057 in Books (See Top 100 in Books)
A very interesting book on data structures in Functional Programming. The concepts can be applied to any Functional Programming Language. NOT for the faint of heart though, I would suggest knowing and have a firm grasp of the Functional Programming Paradigm and confident in a Functional Programming Language (e.g. Haskell, Erlang etc). Knowing about Data Structures as well (such as Heaps, Linked Lists etc) is a must as well.It is a great challenge to read and gives a great view of data structures you would never have thought of.
In the pantheon of knowledge there are increasing levels of value; data, information, knowledge and wisdom. Okasaki's "Purely Functional Data Structures" firmly fits into the latter category. The book provides a relatively complete survey of all the academic literature on the topic and presents it in a way that is understandable to an advanced programmer.If you are an advanced programmer, i.e. you have significant experience with a procedural or OO language and some experience with a functional programming language, then this book may be for you. If you have experienced issues in synchronising access to data structures in multi-threaded environments or ensuring transactional access to complex data, then this book contains the wisdom you seek.
Okasaki's book on purely functional data structures is a timeless classic.Every programmer -- functional or otherwise -- should have a copy at arm's length.This book remains the best resource available on implementing performant purely functional versions of well-known data structures -- the kind of data structures that everyday programmers need to get their jobs done.It would be one thing to only aim for coverage of the space, but Okasaki goes much further by demanding that every algorithm he presents be as elegant as possible.That insistence on elegance really pays off for the reader: the algorithms are easy to understand and easy to implement in the language of your choice.To the delight of the reader, in many cases, the functional versions of these data structures end up much easier to implement and understand than their more well-known imperative versions.
Easy to follow, useful, and cheap. Great book to have on the shelf for functional programming.
Despite the editorial description of the book, the book is really about Standard ML. It happens to have an appendix where source code has been translated -- out of order, and without reference to the text -- into Haskell. This makes it very difficult to read through the book without speaking Standard ML.The exercises, also, are only SML. Several appear to use idiosyncratic SML features -- I say "appear" because no answers to the exercises, even the basic ones, are provided for me to check my understanding.Essentially, the content is good, but expect to learn Standard ML to really get the most out of this book.
I'm not going to lie; I didn't make it through the second 2/3rds of this book. But that first third did more for my understanding of functional programming than the rest of my FP library did combined. This book seems to me to be the functional programming answer to Design Patterns. It's worth having on your shelf if you have any interest in functional programming, ML, or Haskell.
Even if you don't plan to do functional programming, it will make you a better programmer to think about recursive / immutable data structures outlined in this book. Aside from improving you as a programmer, it's just intellectually stimulating to see this elegant ways of expressing the structures, especially if you first learned imperative / stateful data structures. This is not an introductory book, however.
This book is great for someone who already understands the basics of functional programming but wants to learn more. I should note that terseness is one of this book's greatest strong points. In other words, don't assume that just because the book is short that it will be a short read. There's just a lot of information packed into so few words!
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