Synopsis
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision.
Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
About the Authors
Mohammad Gouse Galety received his PhD in Computer Science in 2012. His research interests span both computer science and information science. Dr Mohammad Gouse Galety (co‐) authorizes more than 50 journal papers and publications in international conference proceedings indexed by Springer, Scopus, two patents, and five books. Since 1999, he has served in different national and international organizations like Sree Vidyanikethan Degree College, Tirupati, India; Emeralds Degree College, Tirupati, India; Brindavan College of Engineering, Bangalore, India; Kuwait Educational Center, Kuwait; Ambo University, Ambo, Ethiopia, Debre Berhan University, Debre Berhan, Ethiopia, Lebanese French University, Erbil, Iraq and Catholic University in Erbil, Erbil, Iraq. He is a professor in the Computer Science Department at Samarkand International University of Technology, Samarkand, Uzbekistan. In addition, he teaches several computer sciences and information technology/science engineering to undergraduate and postgraduate students. His research interests cover several aspects of computer science, mainly web mining, IoT, and Networks. He is a Fellow of the IEEE. As of 2020, Google Scholar reports over 250 citations to his work.
Arul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy degree in Computer Science from Bharathidasan University, India, in 2017. Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, as evidenced by his portfolio of scholarly works. He has authored 50 peer-reviewed and internationally indexed publications and delivered 35 conference presentations. Additionally, he has edited and published 04 books with IGI Global, USA, which are indexed in Scopus and focus on Artificial Intelligence and Cybersecurity. He also has 04 more books in the processing stage with IGI Global, Wiley, and Springer. In addition to his academic pursuits, Dr. Arul is a prolific innovator. He has 17 patents granted in India and 1 granted in the United Kingdom, spanning diverse fields such as communication and computer science. His latest work involves 1 copyrighted research (Govt. of India) in Artificial Intelligence and Machine Learning, specifically focused on segmenting, classifying, and tracking issue nuclei in images. Dr. Arul also exhibits notable proficiency in networking and cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He continues to demonstrate a strong interest in Generative AI for Cybersecurity.
A. V. Sriharsha completed his B.Tech from AU, M.Tech from Sathyabama University, and Ph.D. from SV University and SCSVMV University. He holds Honorary Diploma in Computer Programming and Applications moderated by National Computing Center, United Kingdom. He is a member and designated as a chartered engineer by the Institution of Engineers India, Calcutta. Member of ISOC, “The Internet Society”, Life Member in IAENG. He has been in IT, IT-enabled services, and Education for about 25+ years. Have 7 years of industrial experience on strategic servers and 19 years of teaching and research. Around 40+ articles of research have been published in journals and conferences of national and international repute where some of them are indexed in Scopus and ESCI. His research interests are data science, privacy-preserving data mining, differential privacy and machine learning, big data, software architectures, and robotics. Freelance programming and consulting for industrial applications, web service frameworks, and cyber security solutions are the regular track of his occupation while building research models adaptable for industry and academia. His academic profile fairs with funded projects and seminar grants from AICTE, ISRO, etc.. He has 3 (three) patents filed, 1 (one) design patent in the amendment, and 1 (one) copyright to his credits.
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