--- product_id: 30403337 title: "Geoprocessing with Python" price: "Bs.1172" currency: BOB in_stock: true reviews_count: 9 url: https://www.desertcart.bo/products/30403337-geoprocessing-with-python store_origin: BO region: Bolivia --- # Geoprocessing with Python **Price:** Bs.1172 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Geoprocessing with Python - **How much does it cost?** Bs.1172 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.bo](https://www.desertcart.bo/products/30403337-geoprocessing-with-python) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only Review: Easy-to-understand GDAL primer - This is a great book to understand geoprocessing with Python. It uses GDAL, and mostly shows code in GeoTiff format, which is the best format for this type of work anyway. Pleasantly surprised at the no-nonsense, but explains everything style of the author. Highly recommend. Review: The Python code examples are given line by line and does a great job in giving plain and straightforward explanations - This book could simply stand on the merits of learning the basics of Python, using geospatial data as examples. The author has the ability to take complex principles and present those principles in an uncomplicated manner. The Python code examples are given line by line and does a great job in giving plain and straightforward explanations. Examples are used from many different types of vector and raster data, which gave me the opportunity to learn and understand geospatial formats with which I was not familiar. The book is broken down into logical chapters, each building upon the previous ones. Instruction is given on how to install and configure the Python programming environment. With other books, configuring the environment has not always been that straight forward. Geoprocessing with Python stands above other programming books I have read. What I really like about this particular book is that I can take the knowledge I gained throughout the book and create programs that are practical and useful in my craft as a GIS professional. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,520,644 in Books ( See Top 100 in Books ) #395 in Database Storage & Design #428 in Data Mining (Books) #462 in Data Modeling & Design (Books) | | Customer Reviews | 4.3 out of 5 stars 23 Reviews | ## Images ![Geoprocessing with Python - Image 1](https://m.media-amazon.com/images/I/61p9qhP4k4L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Easy-to-understand GDAL primer *by P***. on May 24, 2023* This is a great book to understand geoprocessing with Python. It uses GDAL, and mostly shows code in GeoTiff format, which is the best format for this type of work anyway. Pleasantly surprised at the no-nonsense, but explains everything style of the author. Highly recommend. ### ⭐⭐⭐⭐⭐ The Python code examples are given line by line and does a great job in giving plain and straightforward explanations *by B***R on June 8, 2016* This book could simply stand on the merits of learning the basics of Python, using geospatial data as examples. The author has the ability to take complex principles and present those principles in an uncomplicated manner. The Python code examples are given line by line and does a great job in giving plain and straightforward explanations. Examples are used from many different types of vector and raster data, which gave me the opportunity to learn and understand geospatial formats with which I was not familiar. The book is broken down into logical chapters, each building upon the previous ones. Instruction is given on how to install and configure the Python programming environment. With other books, configuring the environment has not always been that straight forward. Geoprocessing with Python stands above other programming books I have read. What I really like about this particular book is that I can take the knowledge I gained throughout the book and create programs that are practical and useful in my craft as a GIS professional. ### ⭐⭐⭐⭐⭐ Exceptional resource to master GDAL/OGR and using Python to work with geospatial datasets *by P***I on August 27, 2020* This is a fantastic resource if you want to understand how to use GDAL/OGR to read and process geospatial datasets using Python. Any Python developer should seriously consider using this book when starting looking in geospatial problems. The book contains a lot of organized information which is not easily findable in the web. Even if the author uses GDAL Python bindings, you will still find the book to be super useful when using more modern libraries like Fiona/Rasterio/Shapely. Congratulations to the author for putting together such a great amount of useful information in a single book. ## Frequently Bought Together - Geoprocessing with Python - Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.bo/products/30403337-geoprocessing-with-python](https://www.desertcart.bo/products/30403337-geoprocessing-with-python) --- *Product available on Desertcart Bolivia* *Store origin: BO* *Last updated: 2026-06-08*