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145955222
Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools
89% of respondents would recommend this to a friend
Item #:
145955222
BOB 359
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This book provides the structure and clarity needed to move from Python novice to confident geospatial programmer.
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Product Details
| Publisher | Independently published |
| Publication date | June 25, 2025 |
| Language | English |
| Print length | 556 pages |
| ISBN-13 | 979-8286979455 |
| Item Weight | 2.96 pounds (1.34 kg) |
| Dimensions | 8 x 1.26 x 10 inches (20.3 x 3.2 x 25.4 cm) |
Product Description
Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools
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Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: It is aimed at students, researchers, professionals, and self-learners interested in geospatial programming. -
Question:
What programming language does the book focus on?
Answer: The book focuses on Python and its libraries for geospatial data. -
Question:
Does the book provide practical exercises?
Answer: Yes, it includes hands-on exercises to reinforce the concepts learned in each chapter.
Remote Sensing & GIS Editorial Review
"Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools" by Dr. Qiusheng Wu is receiving stellar feedback from readers, establishing itself as a crucial resource for both beginners and seasoned professionals in the field of Geographic Information Systems (GIS). The book is praised for its clear and logical layout, making complex concepts more accessible through its practical application-focused approach. Readers have highlighted Dr. Wu's ability to convey intricate geospatial techniques simply and effectively, utilizing real-world examples and open-source tools like geopandas, rasterio, and folium. This cookbook-style guide is described as easy to read, and many have appreciated the extensive range of packages covered, from foundational programming libraries such as pandas and NumPy, to more specialized tools critical for advanced GIS tasks. Faculty members, particularly GIS lecturers, have called it a game changer for combining GIS teaching with Python programming. The comprehensive nature of the textbook is complemented by additional learning resources, including detailed YouTube tutorials offered by Dr. Wu, enhancing its utility. However, some readers pointed out that certain data sources referenced in the book may no longer be available, creating a bit of a challenge. Despite this, the overall sentiment is overwhelmingly positive, with many readers recommending it as a must-have for anyone serious about advancing their GIS skills.
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Pros
- Clear and logical layout
- Simplifies complex geospatial concepts
- Practical, real-world examples using open-source tools
- Comprehensive coverage of essential Python packages for GIS
- Excellent resource for both beginners and experienced users
- Additional learning materials available via YouTube tutorials
Cons
- Some referenced data sources may no longer be accessible
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Features & Benefits
- Comprehensive, hands-on introduction to geospatial analysis using Python.
- Designed for learners of all levels, from beginners to professionals.
- Step-by-step, example-driven approach with real-world datasets.
- Covers core Python programming, geospatial tools, and advanced topics.
- Interactive exercises for practical skill application.
- Resources include video tutorials and additional materials on GitHub.
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