Survey of python for GIS applications


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Course overview

Course type
Paid course
14 hours
85 lessons
Available on completion
Course author
Michael Miller
  • This course is broad rather than deep. My goal is that when finished, students have some knowledge of the tools in the python ecosystem for geospatial applications and more importantly, how they all work together. More detailed courses will be forthcoming. Some of the topics covered will be
  • An introduction to the language and its core principles.
  • An introduction to object oriented programming in python.
  • FInding and using third party python modules.
  • Working with the operating system
  • Working with files
  • Working with databases
  • Reading spatial data with GDAL/OGR
  • Visualizing data with matplotlib and other tools
  • Data Analysis with pandas and geopandas
  • Jupyter notebooks


Introduction to the python language and ecosystem for GIS professionals

This course covers the basics of the python language, the python language, and the core python packages for data analysis, especially of geospatial data. The goal of the course is to provide a broad introduction to the capabilities of python and how all the various packages work together. This will provide a starting point for deeper exploration on your own or in future courses.

  • Introduction to python

  • Object oriented python

  • Packages and modules

  • Unit tests

  • Jupyter notebooks

  • Numpy

  • Matplotlib

  • Pandas

  • Fiona and shapely

  • Geopandas

  • Rasterio

  • Geocoding

  • PyQt

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Survey of python for GIS applications
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