Data Structures and Program Design Using Python

Data Structures and Program Design Using Python

A Self-Teaching Introduction

D. Malhotra, PhD and N. Malhotra
Paperback
November 2020
9781683926399
More details
  • Publisher
    Mercury Learning and Information
  • Published
    10th November 2020
  • ISBN 9781683926399
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
  •    Request Exam Copy
$79.95
Add to Cart
E-Book

E-books are now distributed via VitalSource

VitalSource offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendor website, working much like Kindle and Nook. Click here to see more detailed information on this process.

October 2020
9781683926375
More details
  • Publisher
    Mercury Learning and Information
  • Published
    5th October 2020
  • ISBN 9781683926375
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
  •    Request E-Exam Copy
$79.95
Add to Cart
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

October 2020
9781683926382
More details
  • Publisher
    Mercury Learning and Information
  • Published
    5th October 2020
  • ISBN 9781683926382
  • Language English
  • Pages 376 pp.
  • Size 7" x 9"
$159.95

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

N. Malhotra’s teaching and research interests include data structures, big data analytics, business intelligence, Java, and distributed programming.

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