Roadmap to Wildlife Management with Python

Dr. Harish R

Environment

Roadmap to Wildlife Management with Python

By Dr. Harish R

Roadmap to Wildlife Management with Python provides an innovative approach to wildlife conservation and management by integrating technology with environmental science. This book serves as a comprehensive guide for researchers, practitioners, and students who seek to utilize Python programming in the analysis and management of wildlife populations. Through practical examples and case studies, readers will discover how to apply computational techniques to real-world ecological challenges. The text covers a range of topics, including data collection, statistical analysis, and modeling of wildlife habitats. It emphasizes the importance of data-driven decision-making in wildlife management and offers step-by-step instructions to implement Python for various applications in the field. This invaluable resource aims to empower professionals in the environmental sector to harness the power of programming for more effective wildlife conservation strategies.

  • ISBN: 978-93-7973-791-5
  • Pages: 180
  • Language: English
$155.00
ecology

Roadmap to Wildlife Management with Python provides an innovative approach to wildlife conservation and management by integrating technology with environmental science. This book serves as a comprehensive guide for researchers, practitioners, and students who seek to utilize Python programming in the analysis and management of wildlife populations. Through practical examples and case studies, readers will discover how to apply computational techniques to real-world ecological challenges.

The text covers a range of topics, including data collection, statistical analysis, and modeling of wildlife habitats. It emphasizes the importance of data-driven decision-making in wildlife management and offers step-by-step instructions to implement Python for various applications in the field. This invaluable resource aims to empower professionals in the environmental sector to harness the power of programming for more effective wildlife conservation strategies.

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