Revised Edition of Wildlife Management with Python
Prof. Swathi R
Environment
Revised Edition of Wildlife Management with Python
The Revised Edition of Wildlife Management with Python provides an essential resource for researchers and practitioners in the field of environment and wildlife management. This comprehensive guide integrates the principles of wildlife management with the power of Python programming, offering readers the tools necessary to analyze and interpret ecological data effectively. Through practical examples and case studies, the book demonstrates how Python can be utilized for species monitoring, habitat assessment, and conservation planning. In this edition, Prof. Swathi R expands upon foundational concepts while introducing advanced techniques in data analysis and visualization, ensuring that readers can apply these methods to real-world scenarios. The inclusion of updated case studies reflects recent advancements in wildlife management practices and reinforces the importance of data-driven decision-making in conservation efforts. This book is a valuable asset for students, researchers, and professionals seeking to enhance their understanding of wildlife management in an increasingly data-centric world.
- ISBN: 978-93-7973-528-7
- Pages: 180
- Language: English
The Revised Edition of Wildlife Management with Python provides an essential resource for researchers and practitioners in the field of environment and wildlife management. This comprehensive guide integrates the principles of wildlife management with the power of Python programming, offering readers the tools necessary to analyze and interpret ecological data effectively. Through practical examples and case studies, the book demonstrates how Python can be utilized for species monitoring, habitat assessment, and conservation planning.
In this edition, Prof. Swathi R expands upon foundational concepts while introducing advanced techniques in data analysis and visualization, ensuring that readers can apply these methods to real-world scenarios. The inclusion of updated case studies reflects recent advancements in wildlife management practices and reinforces the importance of data-driven decision-making in conservation efforts. This book is a valuable asset for students, researchers, and professionals seeking to enhance their understanding of wildlife management in an increasingly data-centric world.