Geocomputation with Python av Michael Dorman, Anita Graser, Jakub Nowosad, Robin (University of Leeds UK) Lovelace

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<p><i>Geocomputation with Python</i> is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Python''s capabilities for spatial data analysis, as well as dozens of worked-through examples covering the entire range of standard GIS operations. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent starting point for those new to working with geographic data with Python, making it ideal for students and practitioners beginning their journey with Python.</p><p>Key features:</p><ul><li>Showcases the integration of vector and raster datasets operations.</li><li>Provides explanation of each line of code in the book to minimize surprises.</li><li>Includes example datasets and meaningful operations to illustrate the applied nature of geographic research.</li></ul><p>Another unique