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Welcome to GEOG 489 - Advanced Python Programming for GIS

Lesson 3 Python Geo and Data Science Packages & Jupyter Notebooks

3.1 Overview and Checklist
3.2 Installing the required packages for this lesson
3.3 Regular Expressions
3.4 Higher Order Functions and lambda expressions
3.5 Python for Data Science
3.6 Jupyter Notebook
3.7 Species distribution modeling with R and the dismo package
3.8 Pandas and the manipulation of tabular data
3.9 GDAL and OGR
3.10 Esri ArcGIS API for Python
3.11 Walkthrough: Species distribution modeling with Jupyter
3.12 Lesson 3 Practice Exercises
Lesson 3 Assignment

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3.1 Overview and Checklist ›

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Welcome to GEOG 489 - Advanced Python Programming for GIS

Course materials prepared by James O'Brien, Jan Oliver Wallgrün, Jim Detwiler, and Andrew Murdoch, College of Earth and Mineral Sciences, The Pennsylvania State University.

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