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Java 9 Data Structures and Algorithms

You're reading from Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

Product type Paperback

Published in Apr 2017

Publisher Packt

ISBN-13 9781785889349

Length 340 pages

Edition 1st Edition

Languages

Java

Concepts

Data Structures and Algorithms

Author (1):

Debasish Ray Chawdhuri

View More author details

Table of Contents (19) Chapters

Java 9 Data Structures and Algorithms

Credits

About the Author

About the Reviewer

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Preface

1. Why Bother? – Basic FREE CHAPTER

2. Cogs and Pulleys – Building Blocks

3. Protocols – Abstract Data Types

4. Detour – Functional Programming

5. Efficient Searching – Binary Search and Sorting

6. Efficient Sorting – quicksort and mergesort

7. Concepts of Tree

8. More About Search – Search Trees and Hash Tables

9. Advanced General Purpose Data Structures

10. Concepts of Graph

11. Reactive Programming

Index

Chapter 11. Reactive Programming

This chapter is a little detour to reactive programming. It lets us handle the concurrency requirements of an application in some cases. It provides an abstraction to handle concurrency. Even though the concepts are old, it has gained interest in recent years due to the beginning of large inflow of data. In modern times, billions of devices generate data every day. Tapping into this data is essential for the growth of business; in some cases, processing the data to statistically analyze it or feeding it to some machine learning algorithm may be the entire business in itself. This makes it essential to support the processing of this large in-flow of data, provide a quick response, and be resilient to failures. Of course, one can do these things even using a traditional or imperative programming paradigm, just as one can, in theory, build any application using an assembly language. However, this makes the application extremely complex to maintain and impossible...

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Authors (1)

Ray Chawdhuri

Ray Chawdhuri

Debasish Ray Chawdhuri is an established Java developer and has been in the industry for the last eight years. He has developed several systems, from CRUD applications to programming languages and big data processing systems. He provided the first implementation of an extensible business reporting language specification, and a product around it, to verify company financial data for the Government of India while he was employed at Tata Consultancy Services Ltd. In Talentica Software Pvt. Ltd., he implemented a domain-specific programming language to easily implement complex data aggregation computations that compiled to Java bytecode. Currently, he leads a team developing a new high-performance structured data storage framework to be processed by Spark. The framework is named Hungry Hippos and will be open-sourced very soon. He also blogs at http://www.geekyarticles.com/ about Java and other computer science-related topics. He has worked for Tata Consultancy Services Ltd., Oracle India Pvt. Ltd., and Talentica Software Pvt. Ltd.

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