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Data Structures in Java

by Oswald Campesato
Save 29% Save 29%
Current price ₹3,823.00
Original price ₹5,390.00
Original price ₹5,390.00
Original price ₹5,390.00
(-29%)
₹3,823.00
Current price ₹3,823.00

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Book cover type: Paperback
  • ISBN13: 9781683929550
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Mercury Learning and Information
  • Publisher Imprint: Mercury Learning and Information
  • Publication Date:
  • Pages: 232
  • Original Price: USD 54.99
  • Language: English
  • Edition: N/A
  • Item Weight: 477 grams
  • BISAC Subject(s): Languages / Java and Data Science / Data Analytics

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)

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).

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