Advanced Python Programming for GIS

Credit: Jan Oliver Wallgrun, © Penn State University, (CC BY-NC-SA 4.0)

Resource Description

In GEOG 489, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. It complements the material covered in GEOG 485: GIS Programming and Customization. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR. Students will also make use of the Git version control software for code management, and learn techniques for distributing Python applications to end users.

Course Number

GEOG 489

License

CC BY-NC-SA 4.0

Resource
Author(s)

Online Resource

View the entire resource online here: Advanced Python Programming for GIS

Download Source Files

Download the resource's source files here: .zip (136.22 MB)

James O'Brien

I got involved in GIS in 1993 but via a slightly different path perhaps to most people. A year earlier I'd been introduced to GIS at a university promotional event where it was described as "Computing and Environmental Studies." Intrigued at how the two could be combined, I went along, listened, liked what I heard and selected GIS as my undergraduate degree.

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Jan Oliver Wallgrun

I have been working as a researcher and instructor at the Penn State Geography department, but a little while ago moved back to Germany where I am originally from. I am a computer scientist by training, with my master and Ph.D. both in Informatics. However, I have been working in the areas of GIS and GIScience for more than a decade now. In my residential courses at Penn State, I have been teaching introductory courses to GIS and GIScience, geospatial data management and spatial databases, and object-oriented programming for GIScience.