Check out this geospatial Python programming course where each lesson is an interactive notebook. It starts from the very basics and introduces the student to GeoPandas, OSMnx, PyQGIS, and more.
Archive: Python
- European Centre for Medium-Range Weather Forecasts (ECMWF) has released more than 40 notebooks to help users reproduce their weather charts. Just click on any chart with a Project Jupyter icon.
- This session is intended to introduce you to geocoding with practical examples. QGIS native tools and plugins, as well as QGIS Python API classes for geocoding will be considered.
- This post shows you how to reshape rasters using the Rasterio Python package and add dimensions to raster arrays.
- MovingPandas is a Python library for handling movement data. Get started with learning how to work with the library by launching and running this interactive notebook.
- This post shows you how to calculate yearly fire frequency based on MODIS time series. The 8-day MODIS composite products, available from 2002, will be used as input data.
- Introducing a new Python package named geospatial-ml that enables to install commonly used Python packages for geospatial analysis and machine learning with only one command.
- Here is a tutorial with a interactive notebook for analyzing climate data using Python. The tutorial will help you understand various climate datasets and related terminology.
- Introducing a new Python package named geospatial that enables to install commonly used Python packages for geospatial analysis and data visualization with only one line of code.
- Dask-GeoPandas is a Python package that brings the support for geospatial data to Dask, merging the geospatial capabilities of GeoPandas and scalability of Dask.
