Data Structures and Program Design using Python

Book Details:

• Edition: 1st

• Publication Year: 2024

• ISBN-13: 9789392549687

• Category: BCA/MCA/B.Tech CSE/CSIT

• Pages: 395

About the Authors:

Dr. Dheeraj Malhotra is an Associate Professor in the IT Department at Vivekananda Institute of Professional Studies, GGS IP University, Delhi. With both academic and industry experience, he has earned significant recognition in the field. Dr. Malhotra holds Google Certified Educator credentials (Level-1 and Level-2) and was honored with the Innovation Ambassador badge by AICTE and MoE’s Innovation Cell, Government of India, for promoting innovation-driven activities in higher education institutions. His contributions to research have earned him a letter of appreciation from DRDO, and he has also received the Best PhD Thesis award from the University of Kota. Dr. Malhotra has been recognized with the Best Research Paper Award in 2019 and the Best Teacher Award in 2020. His research interests include Big Data Analytics, Machine Learning, Web Search Personalization, Computer Architecture, Data Structures, and Computer Graphics, and he has published numerous research papers in SCI and Scopus indexed journals.

Dr. Neha Malhotra holds a Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, India. She has a rich academic background, with an MCA from GGSIPU, an M.Tech in Information Technology from USIT, and a B.Sc. in Computer Science from Delhi University. Dr. Neha is currently working as an Associate Professor at Vivekananda Institute of Professional Studies, GGSIPU, Delhi, and has been an Associate Editor with prominent international journals such as Elsevier and IGI Global. She has published extensively in reputed international journals indexed in Scopus and Web of Science (Clarivate Analytics). Dr. Neha Malhotra has authored four books on Data Structures and Algorithms and her research interests include Data Mining, Business Intelligence, Java, and Hadoop-MapReduce distributed programming.

About the Book:

This book, designed for students of BCA, MCA, and B.Tech CSE/CSIT, provides a comprehensive introduction to key concepts and advanced topics in the field of computer science. Published in 2024, the book aims to bridge the gap between theory and practical application by offering clear explanations and relevant examples. Its 395 pages cover a wide range of topics, including Data Structures, Algorithms, Machine Learning, and Big Data Analytics, designed to be accessible for students with a variety of academic backgrounds.

Written by highly experienced educators and researchers, the book is not only a valuable resource for classroom learning but also a great reference for research. With a balanced approach to both theoretical foundations and practical implementation, the book guides students through core concepts, preparing them for the ever-evolving demands of the tech industry.

What's Special / Useful in this Book:

• Comprehensive Coverage: The book spans essential topics for students in BCA, MCA, and B.Tech CSE/CSIT programs, providing a solid foundation in computer science.

• Authored by Experts: Written by recognized academics with years of teaching and research experience in computer science and engineering.

• Clear and Practical Approach: The book blends theory with practical insights, making it ideal for both academic use and real-world application.

• Focus on Emerging Technologies: Topics like Big Data Analytics, Machine Learning, and Data Mining are explored, ensuring students are well-versed in the latest technological trends.

• Extensive Research Background: Backed by the authors' published research and expertise, the content is well-researched and aligned with industry standards.