Python for Data Analysis, Automation and Research Computing

Description

Python has emerged as one of the most powerful and versatile programming languages for data analysis, automation, and research computing. Its simplicity, readability, and extensive ecosystem of libraries have transformed the way data is processed, workflows are automated, and scientific investigations are conducted. This book, Python for Data Analysis, Automation and Research Computing, presents a structured and integrated approach to understanding Python as a comprehensive computational tool for analytical and research-driven environments. The book systematically introduces the foundational principles of Python programming and gradually extends them to advanced applications in data analysis, task automation, and computational research. It emphasizes practical workflows for collecting, cleaning, transforming, analyzing, and validating data
while ensuring reproducibility and computational accuracy. Furthermore, it highlights the significance of automation in reducing manual effort, minimizing errors, and increasing productivity in data-centric and research-oriented tasks.

About the Authors

Dr. Subodh Kant holds B.Tech, M.Tech, and Ph.D. degrees in Computer Science and Engineering
and has over 14 years of experience in teaching and research. He is presently serving as Project
Director, Principal, and Head of the Department of Computer Science and Engineering at Government Polytechnic Atraulia, Azamgarh (PPP), Uttar Pradesh. With strong academic and
administrative expertise, his areas of interest include Artificial Intelligence, Machine Learning,
Data Analytics, Cyber Security, and emerging computing technologies.

Er. Jyoti Tripathi is a Senior Lecturer in the Department of Mechanical Engineering and
Emerging Technologies and is currently serving as Lecturer-cum-Assistant Director at Government Polytechnic Ghosi, Mau. With strong academic and professional experience, she is actively involved in technical education, skill development, and applied learning. Her areas of interest include Mechanical Engineering, emerging technologies, innovation in engineering education, and industry-oriented training.

Er. Ritesh Prajapati is a Senior Lecturer in the Department of Computer Science and Engineering and serves as Senior Lecturer-cum-Program Coordinator at Government Polytechnic Atraulia, Azamgarh, Uttar Pradesh. With over 10 years of teaching experience, his interests include computer programming, software engineering, and emerging computing technologies. As a book author, he is committed to practical, skill-oriented technical education.

Er. Vedant Tripathi is a Lecturer in the Department of Computer Science and Engineering at
Government Polytechnic Atraulia, Azamgarh, Uttar Pradesh. He specializes in Artificial Intelligence and Machine Learning and is actively involved in teaching and academic mentoring. His interests include AI-driven applications and emerging computing technologies. As a book author, he is committed to promoting practical, research-oriented, and industry-relevant technical education.

Er. Amitosh Pandey is a Lecturer in the Department of Electrical Engineering at Government
Polytechnic Phoolpur, Azamgarh, Uttar Pradesh. He has expertise in the Internet of Things (IoT)
and its applications in electrical and smart systems. Actively engaged in teaching and academic
mentoring, he focuses on IoT-based solutions, smart technologies, and industry-relevant
technical education. As a book author, he is committed to promoting practical learning and
innovation-driven technical education.

Er. Ashok Bharti is the Head of the Department, Mechanical Engineering at Government
Polytechnic Kadipur, Sultanpur, Uttar Pradesh. He has rich academic and administrative
experience in mechanical engineering and is actively involved in teaching, departmental
leadership, and student mentoring. As a book author, he is committed to promoting practical
knowledge, skill-based learning, and quality technical education.

Book Details

ISBN: 9789347142734

Publisher: AgniLeaf

Number of Pages: 125

Dimensions: 6.93"x9.84"

Interior Pages: B&W

Binding: Paperback (Perfect Binding)

Availability: In Stock (Print on Demand)

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