Learning Functional Data Structures and Algorithms
Atul S. Khot, Raju Kumar Mishra
- 318 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Learning Functional Data Structures and Algorithms
Atul S. Khot, Raju Kumar Mishra
About This Book
Learn functional data structures and algorithms for your applications and bring their benefits to your work now
About This Book
- Moving from object-oriented programming to functional programming? This book will help you get started with functional programming.
- Easy-to-understand explanations of practical topics will help you get started with functional data structures.
- Illustrative diagrams to explain the algorithms in detail.
- Get hands-on practice of Scala to get the most out of functional programming.
Who This Book Is For
This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward.
What You Will Learn
- Learn to think in the functional paradigm
- Understand common data structures and the associated algorithms, as well as the context in which they are commonly used
- Take a look at the runtime and space complexities with the O notation
- See how ADTs are implemented in a functional setting
- Explore the basic theme of immutability and persistent data structures
- Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying.
- Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms
- Gain Scala best practices and idioms
In Detail
Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs.
How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures?
This book attempts to answer these questions by looking at functional implementations of traditional algorithms.
It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical.
Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency.
By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.
Style and approach
Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
Frequently asked questions
Information
Learning Functional Data Structures and Algorithms
Learning Functional Data Structures and Algorithms
Credits
| Authors Atul S. Khot Raju Kumar Mishra | Copy Editor Gladson Monteiro |
| Reviewer Muhammad Ali Ejaz | Project Coordinator Sheejal Shah |
| Commissioning Editor Kunal Parikh | Proofreader Safis Editing |
| Acquisition Editor Denim Pinto | Indexer Mariammal Chettiyar |
| Content Development Editor Nikhil Borkar | Graphics Abhinash Sahu |
| Technical Editor Hussain Kanchwala | Production Coordinator Shantanu Zagade |
About the Authors
I would like to thank my mother, late Sushila S. Khot, for teaching me the value of sharing. Aai, I remember all you did for the needy girl students! Your support for the blind school - you brought hope to so many lives! You are no more, however your kindness and selfless spirit lives on! I know you are watching dear mother, and I will carry on the flame till I live! I also would like to thank my father, late Shriniwas V. Khot. Anna, I have a photo of the 'Tamra pat'--an engraved copper plaque--commemorating your great contribution to the country's freedom struggle. You never compromised on core values --always stood for the needy and poor. You live on in my memories--a hero forever! I would also want to thank Martin Odersky for giving us the Scala programming language. I am deeply thankful to Rich Hickey and the Clojure community for their work on persistent data structures. Chris Okasaki’s "Purely Functional Data Structures" is a perennial source of inspiration and insight. I wish to thank Chris for writing the book. This book is influenced by many ideas Chris presented in his book. I also wish to thank the functional programming community for all the technical writings which is a source of continual learning and inspiration. I would love to express my heartfelt thanks to Nikhil Borkar for all the support through out the book writing. I also would take this opportunity to thank Hussain Kanchwala for the detailed editing efforts to make the book perfect. You guys are awesome! Thanks to y’all!
My heartiest thanks to the Almighty. I would like to thank my mom, Smt. Savitri Mishra, my sisters, Mitan and Priya, and my maternal uncle, Shyam Bihari Pandey, for their support and encouragement. I am grateful to Anurag Pal Sehgal, Saurabh Gupta, and all my friends. Last but not least, thanks to Nikhil Borkar, Content Development Editor at Packt Publishing for his support in writing this book.