Introduction to Python for ArcGIS

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Category GIS
Description A two-session, hands-on workshop offered through
the Geospatial Centroid and CSU Libraries

April 10 & 17, 2015
1:00 - 5:00 p.m.
Morgan Library Computer Lab 175

$120 CSU Staff/Faculty
$90 Students
($150 Non-CSU Participants)

Course description

This short course will provide a basic introduction to the Python scripting language and its application in ArcGIS 10.2. Students will become familiar with several methods for writing, editing, and running geoprocessing scripts in Python. In-class demonstrations and hands-on exercises will illustrate the use of Python scripts for automating GIS workflows, determining the properties of a spatial dataset, searching and updating attribute information, and creating an ArcGIS toolbox to manage and share scripts.


Dr. Sarah Reed is a Smith Conservation Research Fellow in the Department of Fish, Wildlife, and Conservation Biology and an Associate Conservation Scientist with the Wildlife Conservation Society. She applies GIS and spatial modeling to investigate the effects of human land use and development on wildlife and biodiversity.
Prerequisites Students should be proficient desktop users of ArcGIS 10.x. Prior knowledge of Python is not necessary, but familiarity with ModelBuilder would be helpful. For additional background information, students may wish to consider taking a free introductory web course from ESRI on Model Builder or Python.
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Location Colorado State University, Morgan Library Computer Classroom 175, 1201 Center Avenue Mall, Fort Collins, CO
Capacity 30
Payment Method Credit Card (Visa, MasterCard or Discover)
Early Registration Discount
Multiple Event Discount
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Early Registration Deadline
Registration Closes
Event Starts4/10/2015 1:00 PM
Event Ends4/17/2015 5:00 PM
Partners and Sponsors
Partner or SponsorContactDescription
CSU Geospatial Centroid
CSU Geospatial Centroid
Contact The Geospatial Centroid at CSU is dedicated to facilitating campus-wide communication about events, research, and education in geospatial sciences.