Survey of Python for GIS Applications
Introduction to the python language and ecosystem for GIS professionals
Updated on Jun, 2025
Language - English
Development ,Programming Languages,Python
Lectures -85
Duration -13.5 hours
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Course Description
This course covers the basics of the Python language, the Python language, and the core Python packages for data analysis, especially of geospatial data. The goal of the course is to provide a broad introduction to the capabilities of Python and how all the various packages work together. This will provide a starting point for deeper exploration on your own or in future courses.
This course will start from:
Introduction to Python.
Object-oriented python.
Packages and modules.
Unit tests.
Jupyter notebooks.
Numpy.
Matplotlib.
Pandas.
Fiona and shapely.
Geopandas.
Rasterio.
Geocoding.
Goals
- An introduction to the language and its core principles.
- An introduction to object-oriented programming in Python.
- Finding and using third-party Python modules.
- Working with the operating system.
- Working with files.
- Working with databases.
- Reading spatial data with GDAL/OGR.
- Visualizing data with Matplotlib and other tools.
- Data Analysis with pandas and geopandas.
- Jupyter Notebooks.
Prerequisites
- This course is not a beginner programming course. I assume you have some programming knowledge, i.e. what. variable is, what an expression is, what a loop is, what a function is, etc. But I do go over the basics of how all those things are implemented.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
6 Lectures
-
Introduction
07:32
07:32
-
What is python?
18:59
18:59
-
Why use python?
06:04
06:04
-
What can you do with Python?
08:01
08:01
-
What can you do with python? - Part 2 GIS
14:45
14:45
-
About Python
15:23
15:23
Installing Python
3 Lectures
Getting started with Python
5 Lectures
Operators and expressions in Python
3 Lectures
Complex data structures
8 Lectures
Program control
4 Lectures
User Input
3 Lectures
Functions
6 Lectures
Error Handling in Python
2 Lectures
Modules
1 Lectures
Objects in python
7 Lectures
Python packages, virtual environments, and documentation
5 Lectures
Formal testing in python
2 Lectures
Working with the operating system and files
14 Lectures
Working with database data
3 Lectures
The python data science stack
5 Lectures
Geospatial analysis in python
7 Lectures
Instructor Details
Michael Miller
I have been programming and working with database applications for over 30 years, and specializing in geospatial applications for over 20 years. I am a believer in the 80/20 pareto principle which suggests that you only need to understand 20% of a subject in order to do 80% of your work. My goal in all my courses is to teach at the level of that 20% sweet spot and to provide my students with the background and the tools they need to learn the rest of what they need on their own.
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