Models for Fish Processing Technology with Python
Dr. Murali K
Fisheries
Models for Fish Processing Technology with Python
By Dr. Murali K
Models for Fish Processing Technology with Python offers a comprehensive exploration of innovative methodologies in fish processing through the lens of Python programming. This book provides readers with practical insights into the application of computational models that enhance efficiency and sustainability in the fisheries sector. By integrating theoretical concepts with hands-on programming examples, it serves as an essential resource for researchers and practitioners looking to improve processing techniques in aquatic food production. The text covers a wide range of topics, including data analysis, machine learning, and simulation models tailored for the fish processing industry. Each chapter is designed to build upon the previous one, ensuring a coherent flow of information that caters to both novice programmers and experienced professionals. By leveraging Python's capabilities, this book empowers readers to make data-driven decisions that contribute to the advancement of sustainable fishing practices.
- ISBN: 978-93-7991-422-4
- Pages: 180
- Language: English
Models for Fish Processing Technology with Python offers a comprehensive exploration of innovative methodologies in fish processing through the lens of Python programming. This book provides readers with practical insights into the application of computational models that enhance efficiency and sustainability in the fisheries sector. By integrating theoretical concepts with hands-on programming examples, it serves as an essential resource for researchers and practitioners looking to improve processing techniques in aquatic food production.
The text covers a wide range of topics, including data analysis, machine learning, and simulation models tailored for the fish processing industry. Each chapter is designed to build upon the previous one, ensuring a coherent flow of information that caters to both novice programmers and experienced professionals. By leveraging Python's capabilities, this book empowers readers to make data-driven decisions that contribute to the advancement of sustainable fishing practices.
