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Python for ArcGIS

  • 24 Mar 2015
  • 8:30 AM
  • 25 Mar 2015
  • 4:30 PM
  • Moore Norman Technology Center South Penn Campus 13301 S. Penn Avenue Oklahoma City, OK 73170-5007
  • 17


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Python for ArcGIS
This workshop is designed with a strong first-day focus on the basic elements of Python programming. There will be lots of hands-on participation, and opportunities to work exercises individually, with your neighbors, and as a class. With this foundation of the basics of Python in place, on the second day we will focus more on using Python for geoprocessing work flows with a special emphasis on using it in the ArcGIS world. As on the first day, there will be lots of hands-on participation and exercises to reinforce the material. By the end of day two, we will be creating geoprocessing scripts from scratch and even wrapping them back into toolboxes.

Day 1 Agenda - Focus on Python
- Introduction
- Variables
- Iteration
- Conditionals
- User Defined Functions
- Python Modules
- Scripting with Python

Day 2 Agenda - Focus on Python for ArcGIS
- Python Review
- ModelBuilder Review
- Basic Geoprocessing Scripts with Arcpy
- Debugging/Handling Errors from Python and ArcGIS
- Using Python to work with Geographic Data and Files
- Field Calculations with Python in ArcGIS 10
- Python on the ArcGIS 10 Commandline
- Creating a Python-based ArcTool

GISP Credits Attend 2 day training : 16 hours - EDU - 0.4 credits

Instructor: Matthew Collier -

Matthew has been using the Python programming language for wrangling data, and task automation since 2006. He developed his first Python workshop for beginners in 2010 and has taught numerous programming workshops directly for academia, and industry professionals. Matthew's recent major Python experiences include teaching Python for the Geoprogramming class at OU in the fall of 2012; the SCAUG conferences in 2012 at McAllen, and 2013 in OKC; and the SCAUG Python training events in November 2013 and February 2014;  Furthermore, he completed a collaborative programming project at the USGS in 2013 to modernize a tool for spatially stratified random sampling from AML into Python. And, current work at USGS includes using Python scripting to automate near real-time evapotranspiration calculations using local weather data and remotely sensed imagery for agricultural regions in California and New Mexico.

SCAUG is a not for profit organization dedicated to benefit users of ESRI’s geographic information software | Founded in 1990 | © SCAUG 2019 |

South Central Arc Users Group

P.O. Box 96

Ardmore, OK 73402

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