In the following, you can find articles on how to access the most common data types from Python Most examples will be using Google Colab, but the notebooks are shared on GitHub, so you can download them from there and use them in any Python Notebook environment. At the end of the day, Python mainly relies on the GDAL library to load Geospatial data in different formats. We will, however, try to avoid the complexity of GDAL and use high-level libraries as GeoPands and Shapely to do the GDAL stuff.

Articles:

Opening files from a simple web store (such as google drive, GitHub, WordPress etc.)