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Data Structures and Program Design Using Python de Dheeraj Malhotra

Data Structures and Program Design Using Python

Autor Dheeraj Malhotra, Neha Malhotra
en Limba Engleză Paperback – 24 noi 2020
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.
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Specificații

ISBN-13: 9781683926399
ISBN-10: 1683926390
Pagini: 394
Dimensiuni: 178 x 229 x 22 mm
Greutate: 0.67 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information

Notă biografică

Dr. Dheeraj Malhotra brings a rich blend of academic and industry experience to his current role as Associate Professor in the Department of Information Technology at Vivekananda Institute of Professional Studies, GGSIPU. Dr. Malhotra has numerous journal/conference publications in SCI/SCIE/Scopus indexed journals and proceedings, and multiple patents granted or published both nationally and internationally in the advanced fields of Computer Science Engineering. He has authored multiple books on Data Structures and Algorithms using various programming platforms published with Mercury Learning and Information, DeGruyter Brill. Dr. Neha Malhotra works as an associate professor of Information Technology at VIPS, GGSIPU. She has authored research publications in reputed SCI/ESCI international journals that are indexed in Web of Science and Scopus. Her teaching and research interests include Data Structures, Business Intelligence, OOP with C++ and Java, and Hadoop-MapReduce distributed programming.

Cuprins

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