Workshop Resources for Introduction to Python Scripting

Instructor: Dr. Jason Parent
Contact: jason.parent@uconn.edu

Workshop Folder (includes exercises, lecture notes, modules and sample scripts):
Download zip file (462 MB)

 

Lecture Notes

The two-day CLEAR workshop will cover the following lectures:

Section 1: a, b, c, d, e
Section 2: a, b, c, d, e, f
Section 3: a, b
Section 7: b,c
Section 8: a, b, c

Section 1

• 1a - Introduction to Scripting
• 1b - Introduction to Python
• 1c - Introduction to Python Geoprocessing
• 1d - Introduction to Numbers and Strings
• 1e - Basic Script Debugging Tips

 

Section 2

• 2a - Lists
• 2b - Dictionaries
• 2c - Files
• 2d - For Loops
• 2e - While Loops
• 2f - Suitability Analysis Explaination

 

Section 3

• 3a - Python Basics (Decision-Making)
• 3b - Working with Rasters

 

Section 4

• 4a - Math Module
• 4b - Sys, Shutil, and OS Modules
• 4c - Time and Datetime Modules
• 4d - Random and Zipfile Moldules
• 4e - Custom Functions and Modules

 

Section 5

• 5a - Cursors and Resading Attribute Data
• 5b - Modifying and Creating Attribute Data
• 5c - Loops Continued, List Comprehensions

 

Section 6

• 6a - Reading Point Feature Geometery
• 6b - Reading Line and Polygon Feature Geometry
• 6c - Creating Feature Geometries

 

Section 7

• 7a - Comparing Feature Geometries
• 7b - Describe and List Tools
• 7c - Spatial Analyst
• 7d - Rasters in Array Format

 

Section 8

• 8a - Preparing to Create an ArcScript
• 8b - Importing a Script into ArcToolbox
• 8c - Summary of Creating an ArcScript

 

Section 9

• 9a - Working with Layers
• 9b - Working with the Map Layout

 

Section 10

• 10a - Excel Workbooks and Worksheets
• 10b - Working with Excel
• 10c - Working with Charts

 

Section 11

• 11a - Creating Bar Plots
• 11b - Titles, Labels and Legends
• 11c - Pie Plots, Scatterplots, Line Plots, Histograms and Boxplots
• 11d - Creating Figures with Multiple Plots

 

Section 12

• 12a - Scipy Descriptive Statistics
• 12b - Identifying Types of Distributions
• 12c - Tests for Differences Among Datasets
• 12d - Associations, Correlations and Linear Regression

 

Section 13

• 13a - Numpy Arrarys
• 13b - Optimizing Script Efficiency
• 13c - Copying Lists and Dictionaries