Important disclaimer and acknowledgement: This repository is my personal class notes from Dr. Qiusheng Wu's GEOG 312 course: Introduction to GIS programming in Python course at The University of Tennessee. All rights, including lab and class materials, are reserved for the original authors. Original course website and Github repo
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Fundamentals of Python: Start with the basics—variables, data types, data structures, string operations, looping, and control statements. Progress to more advanced topics, including functions, classes, file handling, and exception handling.
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Geospatial Applications: Delve into Python’s application in the geospatial realm. Learn to create interactive web maps using Leafmap, visualize vector and raster data, and explore 3D mapping with MapLibre. You'll also get hands-on experience with a number of specialized geospatial libraries, including GeoPandas, Rasterio, Xarray, Rioxarray, Leafmap, Whitebox, MapLibre, Geemap, SAMGeo, HyperCoast, DuckDB, and more.
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Hands-On Experience: Engage in practical labs and projects designed to reinforce the concepts covered in lectures. These activities culminate in a final project where you'll apply your skills to a real-world geospatial problem.
By the end of the course, you will have a robust understanding of Python programming, specifically tailored to geospatial analysis and visualization, empowering you to confidently tackle various geospatial challenges.
All course materials, including lecture videos, are freely available on the course website.
The lecture videos are available as a YouTube playlist: https://bit.ly/intro-gis-programming