Skip to main content
Presented to you through Paradigm Publishing Services

Mercury Learning and Information

book: Data Structures in Java
Book
Licensed
Unlicensed Requires Authentication

Data Structures in Java

Language: English
Published/Copyright: 2023

About this book

This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces recursion and uses code samples to check if a positive number is prime, to find the prime divisors of a positive integer, to calculate the GCD (greatest common divisor) and LCM (lowest common multiple) of a pair of positive integers. The third chapter contains Java code samples involving strings and arrays, such as finding binary substrings of a number, checking if strings contain unique characters, counting bits in a range of numbers, and how to compute XOR without using the XOR function. Chapters 4 through 6 include Java code samples involving search algorithms, concepts in linked lists, and tasks involving linked lists. Finally, Chapter 7 discusses data structures called queues and stacks, along with additional Java code samples.

Features:

  • Extensive topics, code samples, and scripts related to data structures
  • Covers strings, arrays, queues, and stacks, linked lists, computing the XOR function, checking for unique characters, and more
  • Includes companion files with code samples from the book (available for downloading from the publisher)

Author / Editor information

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).

  • Publicly Available
    Download PDF
  • Publicly Available
    Download PDF
  • Publicly Available
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF
  • Requires Authentication Unlicensed
    Licensed
    Download PDF

Publishing information
Pages and Images/Illustrations in book
eBook published on:
May 24, 2023
eBook ISBN:
9781683929543
Paperback published on:
May 16, 2023
Paperback ISBN:
9781683929550
Pages and Images/Illustrations in book
Main content:
232
Downloaded on 24.4.2026 from https://www.degruyterbrill.com/document/doi/10.1515/9781683929543/html?lang=en
Scroll to top button