Introduction to the python language and ecosystem for GIS professionals
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
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.
6 Lectures
5 Lectures
3 Lectures
8 Lectures
6 Lectures
2 Lectures
1 Lectures
7 Lectures
5 Lectures
14 Lectures
5 Lectures
7 Lectures
I have been programming and working with database applications for over 30 years, and specializing in geospatial applications for over 20 years. Â 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...
The content was much more basic than what I expected based on the course description. However, that did not detract from the course itself. My only reason for giving 4.5 instead of 5 stars is that the resources for this course are not posted, or if they are, it was not made clear to students. Also, the instructor has not been responsive to questions in the Q&A, some of which would be quite helpful to have the answer to. Lastly, for as much as the instructor pushes PostgreSQL/PostGIS, they did not give enough intro to how to get your data in this format in the first place and simply jumped into querying from it. A longer intro there would have been helpful.
Il manque les ressources documentaires et l'instructeur ne répond pas au sollicitation
great as usual
Thank you so much dear Mike for all you have been!
God bless you!
Still missing ressources
Overall a good introduction to python and python for GIS. If all of the resources were included that would benefit the course as the Jupyter section would become a more interactive learning experience.
Great course very informative
The coverage of the content was clear and very useful to learn. Its a good introduction to many topics and modules. I wish there were some exercises to figure out problems and spend time practicing, but I made up my own exercises as I went through the material. I also wish the files used in the course were made available as downloadable material so I could follow along. But again, I have my own files, and files from his other courses that I could use.
i really love it. this is what we call real value for money.thumps up
Your email address will not be published. Required fields are marked *
Sebastian F. T.
Great course with great instructor. Provides a solid foundation. At times things might be too basic, but then at times it goes quickly into deeper things. I fully recommend it as a basic course or a refresher course. Looking forward to other courses by Micheal Miller. Only issue is sometimes he references some material, which apparently is not available through UDEMY?