The article shares valuable GIS learning resources, particularly for those with a foundation in ESRI tools looking to expand their knowledge in Python and data analytics. It highlights the importance of familiarizing oneself with a variety of tools, such as GDAL and command-line utilities, as well as Git, to enhance geospatial processing capabilities. Resources are curated to help individuals build upon their existing GIS skills and adapt to a collaborative, cloud-native environment, ultimately broadening their toolset in the ever-evolving field of geospatial technologies.
This article provides a collection of essential GIS learning resources, primarily focusing on Python, cloud-native geospatial methods, and tools beyond the ESRI ecosystem.
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