Masterclass in Wildlife Management with Python

Prof. Swathi R

Environment

Masterclass in Wildlife Management with Python

By Prof. Swathi R

Masterclass in Wildlife Management with Python provides an essential guide for students, researchers, and practitioners in the field of environmental science. This book integrates advanced programming techniques using Python to address complex challenges in wildlife management. Through practical examples and case studies, readers will learn to apply data analysis, modeling, and simulation tools to real-world scenarios in wildlife conservation and habitat management. The book emphasizes the importance of data-driven decision-making in managing wildlife populations and ecosystems. Each chapter offers step-by-step tutorials, enabling readers to develop their coding skills while exploring critical environmental issues. By bridging the gap between technology and ecology, this masterclass serves as a vital resource for those looking to enhance their understanding and capabilities in wildlife management.

  • ISBN: 978-93-7973-315-3
  • Pages: 180
  • Language: English
$121.00
ecology

Masterclass in Wildlife Management with Python provides an essential guide for students, researchers, and practitioners in the field of environmental science. This book integrates advanced programming techniques using Python to address complex challenges in wildlife management. Through practical examples and case studies, readers will learn to apply data analysis, modeling, and simulation tools to real-world scenarios in wildlife conservation and habitat management.

The book emphasizes the importance of data-driven decision-making in managing wildlife populations and ecosystems. Each chapter offers step-by-step tutorials, enabling readers to develop their coding skills while exploring critical environmental issues. By bridging the gap between technology and ecology, this masterclass serves as a vital resource for those looking to enhance their understanding and capabilities in wildlife management.

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