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Python for ArcGIS

  • 22 Jan 2015
  • 8:30 AM
  • 23 Jan 2015
  • 4:30 PM
  • Moore Norman Technology Center South Penn Campus 13301 S. Penn Avenue Oklahoma City, OK 73170-5007
  • 2

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Python for ArcGIS
This introductory class is designed with a strong first-day focus on the basic elements of Python itself. There will be lots of hands-on participation, and opportunities to work exercises both individually and in groups. By the end of day one, we will arrive at using Python on the ArcGIS 10 command line, and in field calculations. On the second day we will focus much more on scripting, and especially on ESRI's "arcpy" module. We will explore the creation of geoprocessing scripts, debugging, handling errors, and working with GIS files. 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 Arctools.

Day 1 Agenda - Focus on Python
- Introduction
- Variables
- Iteration
- Conditionals
- Field Calculations in ArcGIS 10
- Python Modules
- The ArcGIS 10 Commandline

Day 2 Agenda - Focus on ArcGIS
- Python and ModelBuilder Reviews
- Basic Geoprocessing Scripts
- Debugging/Handling Errors
- Working with Files and Data
- Wrapping Python Scripts into an ArcTool

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

Instructor: Matthew Collier -mwc@ou.edu

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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