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  • Book Overview & Buying Learning F# Functional Data Structures and Algorithms
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Learning F# Functional Data Structures and Algorithms

Learning F# Functional Data Structures and Algorithms

By : Adnan Masood
4 (9)
Buy this Book
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Learning F# Functional Data Structures and Algorithms

Learning F# Functional Data Structures and Algorithms

4 (9)
By: Adnan Masood
Buy this Book

Overview of this book

If you have just started your adventure with F#, then this book will help you take the right steps to become a successful F# coder. An intermediate knowledge of imperative programming concepts, and a basic understanding of the algorithms and data structures in .NET environments using the C# language and BCL (Base Class Library), would be helpful.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Embrace the Truth
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1. Embrace the Truth
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Exploring the functional programming paradigm
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Thinking functional – why functional programming matters
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A historical primer of F#
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The Hello World example
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A brief F# language primer
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Syntactical similarities and differences
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Benefits of using F# over C#
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Summary
2
2. Now Lazily Get Over It, Again
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2. Now Lazily Get Over It, Again
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Setting up the IDE
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Your first F# project
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Talk is cheap, show me some code
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To understand recursion, you must understand recursion
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Memoization with Fibonacci
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Towers of Hanoi
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Sorting lazily
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F# 4.0 – new features
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Summary
3
3. What's in the Bag Anyway?
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3. What's in the Bag Anyway?
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Exploring data structures in F#
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F# implementation of sorting algorithms
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Algorithmic complexity and the Big-O notation
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Summary
4
4. Are We There Yet?
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4. Are We There Yet?
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Diving deep into enumerations and sequences
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Enumerating a CSV file
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Query expressions
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Creating sequences from collections
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Usage considerations for sequences
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Summary
5
5. Let's Stack Up
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5. Let's Stack Up
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Let's build a stack
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Stack with concurrency support
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Testing the stack
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Algorithm – parenthesis matching using stacks
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Summary
6
6. See the Forest for the Trees
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6. See the Forest for the Trees
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Tree as a data structure
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The binary search tree
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Navigating the tree
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Abstract syntax trees
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Summary
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7. Jumping the Queue
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7. Jumping the Queue
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Let's make a functional queue
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The FSharpx.Collections library
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Summary
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8. Quick Boost with Graph
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8. Quick Boost with Graph
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Graphs
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Modeling graphs using F#
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The shortest path algorithm
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Finding the minimal path sum
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Summary
9
9. Sets, Maps, and Vectors of Indirections
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9. Sets, Maps, and Vectors of Indirections
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Sets and maps
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Vectors
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F# and the Intermediate Language
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Summary
10
10. Where to Go Next?
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10. Where to Go Next?
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References and further readings
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F# language resources
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Component design guidelines
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Functional programming guides
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Books and interactive tutorials
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Video tutorials
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Community projects – development tools
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Community projects – functional programming
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Community projects – data science programming
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Community projects – the GPU execution
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General functional programming
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Academic resources
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Summary
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Index
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Index

Summary

In this chapter, we reviewed the data structure of Queue with a custom functional implementation. We introduced the FSharpX open source collection of functional data structures. Finally, we explored the F# agent implementation of MailboxProcessor, and provided an example use of queue for creating async work flows, throttling, and post-processing.

In the next chapter, Quick Boost with Graph, we will briefly discuss how a graph can be functionally implemented in F#, and review the challenges associated with this task. Then we will present how to utilize QuickGraph (a standard graph library in .NET) for our purposes, explaining where to find commonly used graph implementations and discussing one of the most commonly used algorithms: Dijkstra's shortest part algorithm.

CONTINUE READING
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Tech Concepts
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Programming languages
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Learning F# Functional Data Structures and Algorithms
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