History of Fish Processing Technology with Python
Dr. Gopal K
Fisheries
History of Fish Processing Technology with Python
By Dr. Gopal K
In 'History of Fish Processing Technology with Python', Dr. Gopal K explores the evolution of fish processing techniques through a comprehensive historical lens. This book delves into the technological advancements that have shaped the industry, while integrating Python programming as a tool for analyzing data and trends in fish processing. By combining historical context with practical applications, this work serves as both a scholarly resource and a guide for practitioners seeking to innovate within the field. The text is structured to offer insights into the critical milestones in fish processing technology, including the introduction of refrigeration, canning, and modern preservation methods. Dr. Gopal K provides readers with case studies and real-world examples that highlight the application of Python in analyzing historical data, enabling a deeper understanding of how technology influences sustainability and efficiency in fisheries. This book is essential for researchers, industry professionals, and students looking to grasp the intricate relationship between technology and fish processing.
- ISBN: 978-93-7973-288-0
- Pages: 180
- Language: English
In 'History of Fish Processing Technology with Python', Dr. Gopal K explores the evolution of fish processing techniques through a comprehensive historical lens. This book delves into the technological advancements that have shaped the industry, while integrating Python programming as a tool for analyzing data and trends in fish processing. By combining historical context with practical applications, this work serves as both a scholarly resource and a guide for practitioners seeking to innovate within the field.
The text is structured to offer insights into the critical milestones in fish processing technology, including the introduction of refrigeration, canning, and modern preservation methods. Dr. Gopal K provides readers with case studies and real-world examples that highlight the application of Python in analyzing historical data, enabling a deeper understanding of how technology influences sustainability and efficiency in fisheries. This book is essential for researchers, industry professionals, and students looking to grasp the intricate relationship between technology and fish processing.
