Data Structures and Program Design Using Python

A Self-Teaching Introduction

Paperback
November 2020
9781683926399
More details
  • Publisher
    Mercury Learning & Information
  • Published
    10th November
  • ISBN 9781683926399
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
$79.95
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October 2020
9781683926382
More details
  • Publisher
    Mercury Learning & Information
  • Published
    5th October
  • ISBN 9781683926382
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
$159.95
E-Book (ePub)
October 2020
9781683926375
More details
  • Publisher
    Mercury Learning & Information
  • Published
    5th October
  • ISBN 9781683926375
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
$59.95

Data structures provide a means to managing huge amounts of information such as large databases, using SEO effectively, and creating Internet/Web indexing services. This book is designed to present fundamentals of data structures for beginners using the Python programming language in a friendly, self-teaching, format. Practical analogies using real world applications are integrated throughout the text to explain technical concepts. The book includes a variety of end-of-chapter practice exercises, e.g., programming, theoretical, and multiple-choice.

FEATURES:

  • Covers data structure fundamentals using Python
  • Numerous tips, analogies, and practical applications enhance understanding of subjects under discussion
  • “Frequently Asked Questions” integrated throughout the text clarify and explain concepts
  • Includes a variety of end-of-chapter exercises, e.g., programming, theoretical, and multiple choice.

1: Introduction to Data Structures
2: Introduction to Python
3: Arrays
4: Linked Lists
5: Queues
6: Searching & Sorting
7: Stacks
8: Trees
9: Multi-Way Search Trees
10: Hashing
11: Files
12: Graphs
Appendix: Answers to Selected Exercises
Index

D. Malhotra, PhD

D. Malhotra, PhD is a professor in information technology and has published numerous research articles with international publishers such as ACM, Springer, Elsevier, and IEEE.

N. Malhotra, PhD

N. Malhotra, PhD is a professor of computer applications including data structures, big data analytics, business intelligence, and distributed programming. She has research publications with numerous international publishers such as Emerald, Taylor and Francis, and Springer.

big data analytics; business intelligence; distributed programming; search trees