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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

The imperative way

We keep contrasting FP with the imperative style of programming. What do we mean by imperative style, though?

The imperative programming style is embodied by a sequence of commands modifying a program's state. A simple example of this is a for loop. Consider the following pseudo code snippet to print all the elements of an array:

  x = [1,2,3,4...] // an array, x.size tells the number of array elements  
  for( int i = 0; i < x.size; ++i ) { 
         println(x[i]) 
      } 

Here is a pictorial rendering of the concepts:

The imperative way

As the figure shows, the for loop establishes an initial state by setting the variable i to 0. The variable is incremented every time the loop is repeated; this is what we mean by the state being modified. We keep reading and modifying the state, that is, the loop variable, until there are no elements left in the array.

FP advocates staying away from any state modification. It gives us tools so we don't worry about how to loop over a collection; instead, we focus on what we need to do with each element of the collection.

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