GISPro

The Introduction to GIS Programming resource offers a comprehensive curriculum designed to teach geospatial programming using Python. It is structured into several key sections, starting with essential Software Setup topics, including an overview of development tools, Python package management with Conda, Visual Studio Code, Git for version control, and cloud-based environments like Google Colab and JupyterLab, as well as Docker.

Following the setup, the resource delves into Python Programming Fundamentals, covering variables, data types, data structures, string operations, loops, conditional statements, functions, classes, file handling, and crucial data analysis libraries such as NumPy and Pandas. This foundational knowledge prepares learners for the more specialized geospatial topics.

The core of the course focuses on Geospatial Programming with Python. It introduces key libraries for vector data analysis (GeoPandas), raster data processing (Rasterio, Rioxarray), multi-dimensional data analysis (Xarray), and interactive visualization (Leafmap, MapLibre). Advanced topics include geoprocessing with WhiteboxTools, cloud computing with Earth Engine and Geemap, hyperspectral data visualization with HyperCoast, high-performance analytics with DuckDB, and geospatial data processing with GDAL and OGR. This makes it an invaluable guide for anyone looking to master geospatial development.