Rakesh Nayak, Nishu Gupta

Python for Engineers and Scientists (eBook, PDF)

Concepts and Applications

• Format: PDF

Produktbeschreibung

The text focuses on the basics of Python programming fundamentals and introduction to present-day applications in technology and the upcoming state-of-art trends in a comprehensive manner. The text is based on Python 3.x and it covers the fundamentals of Python with object-oriented concepts having numerous worked-out examples. It provides a learning tool for the students of beginner level as well as for researchers of advanced level. Each chapter contains additional examples that explain the usage of methods/functions discussed in the chapter. It provides numerous programming examples along with their outputs.

The book:

• Includes programming tips to highlight the important concepts and help readers avoid common programming errors
• Provides programming examples along with their outputs to ensure the correctness and help readers in mastering the art of writing efficient Python programs
• Contains MCQs with their answers; conceptual questions and programming questions; and solutions to some selected programming questions, for every chapter
• Discusses applications like time zone converter and password generators at the end
• Covers fundamental of Python up to object oriented concepts including regular expression

The book offers a simple and lucid treatment of concepts supported with illustrations for easy understanding, provides numerous programming examples along with their outputs, and includes programming tips to highlight the important concepts. It will be a valuable resource for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 458
• Erscheinungstermin: 19. Dezember 2022
• Englisch
• ISBN-13: 9781000802160
• Artikelnr.: 66259019

Autorenporträt

Dr. Rakesh Nayak, author of two text books, is currently a professor in the Department of Computer Science and Engineering at O. P. Jindal University, Raigarh, Chhattisgarh, India. He earned his Master's degree in Computer Applications from Indira Gandhi National Open University in the year 2007 and MTech in computer science and engineering from Acharya Nagarjuna University, Andhra Pradesh, India in 2010 and his PhD degree in Computer Science from Behrampur University, Odisha, India in 2013. Prior to joining the computer science department of O. P. Jindal University in January 2022, he worked in various capacities in different Engineering/MCA colleges. He has more than 22 years of teaching experience and has guided 11 MTech students. He has many publications in international journals to his credit.

Dr. Nishu Gupta is a senior member, IEEE. He is a postdoctoral fellow in the Smart Wireless Systems (SWS) Research Group at Norwegian University of Science and Technology (NTNU), located in Gjøvik, Norway. Before this position, he was an assistant professor in the Electronics and Communication Engineering department, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India. He earned his PhD degree from Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, which is an Institute of National Importance as declared by the Govt. of India. He has authored and edited several books with international publishers such as Taylor & Francis, Springer, Wiley, Scrivener, among others. Dr. Nishu is on the editorial board of various International reputed journals and transactions. Dr. Nishu serves as an active reviewer in various highly reputed journals such as IEEE Transactions on ITS, IEEE Access, IET Communications and many more. He is a recipient of the Best Paper Presentation Award during an International Conference at Nanyang Technological University, Singapore. His research interests include Autonomous Vehicles, Edge Computing, Augmented Intelligence, Internet of Things, Internet of Vehicles, Deep Learning, Machine Learning, Ad-Hoc Networks, Vehicular Communication, Driving Efficiency, Cognitive Computing, and Human-Machine Interaction.