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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? 2. Building Blocks FREE CHAPTER 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Functional programming is declarative

When we use SQL, we just express our intent. For example, consider this:

mysql> select count(*) from book where author like '%wodehouse%'; 

We just say what we are looking for. The actual mechanism that gets the answer is hidden from us. The following is a little too simplistic but suitable example to prove the point.

The SQL engine will have to loop over the table and check whether the author column contains the wodehouse string. We really don't need to worry about the search  algorithm. The author table resides on a disk somewhere. The number of table rows that need to be filtered could easily exceed the available memory. The engine handles all such complexities for us though.

We just declare our intent. The following Scala snippet is declarative. It counts the number of even elements in the input list:

scala> val list = List(1, 2, 3, 4, 5, 6) 
list: List[Int] = List(1, 2, 3, 4, 5, 6) 
 
scala> list.count( _ % 2 == 0 ) 
res0: Int = 3 

The code uses a higher order function, namely count. This takes another function, a predicate, as an argument. The line loops over each list element, invokes the argument predicate function, and returns the count.

Here is another example of Clojure code that shows how to generate a combination of values from two lists:

user=> (defn fun1 [list1 list2] 
  #_=>   (for [x list1 y list2] 
  #_=>     (list x y))) 
#'user/fun1 
user=> (fun1 '(1 2 3) '(4 5 6)) 
((1 4) (1 5) (1 6) (2 4) (2 5) (2 6) (3 4) (3 5) (3 6)) 

Note the code used to generate the combination. We use for comprehension to just state what we need done and it would be done for us.

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