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Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
ArcGIS allows for complex analyses of spatial data. The ArcPy module is used to create custom ArcGIS tools, providing automation of geospatial analysis and map book production. The second edition of the book focuses on new Python offerings by Esri for ArcGIS for Server, ArcGIS Online and ArcGIS Pro, including the ArcGIS API for Python. Using Pyt...
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