Survey of python for GIS applications
What you'll learn
- This course is broad rather than deep. My goal is that when finished, students have some knowledge of the tools in the python ecosystem for geospatial applications and more importantly, how they all work together. More detailed courses will be forthcoming. Some of the topics covered will be
- 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
Requirements
- 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 in python.
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.
Introduction to python
Object oriented python
Packages and modules
Unit tests
Jupyter notebooks
Numpy
Matplotlib
Pandas
Fiona and shapely
Geopandas
Rasterio
Geocoding
PyQt
Who this course is for:
- This course is oriented towards geospatial professionals who want a better understanding of the complete python ecosystem for geospatial applications.
- For this course I will not go into detail about any specific python tool, rather this is intended to be an introduction to the language and an overview of its capabilities.
Instructor
- 4.5 Instructor Rating
- 8,106 Reviews
- 24,360 Students
- 20 Courses
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.