README.md

Material for the EGU23 Short Course 5.5: "Introduction to Geospatial Raster and Vector Data with Python"

Setup

Option A (Recommended): Mybinder.org

In order to quickly get started, please click on the following badge:

You will get access to a JupyterLab environment running on mybinder.org.

Option B: Google Colab

If the above Binder option does not work for you, please click on the following Colab badge:

You can select one of the four notebooks of this course and run them in a Google Colab environment. However it has the following limitations:

1. You need a Google account
2. You need to upload the course data manually to the Colab environment. To do this, 1) download this GitHub repository as a .zip file, 2) unzip it locally, and 3) upload the data folder to the Colab environment.
3. You need to install Python dependencies manually on Colab. To do this, uncomment the first cell (with the pip command) in the notebook and execute it.

Option C: local setup

The solutions described above are suitable for short sessions and demonstrations, but resources are limited! If you want to keep experimenting with Python, we recommend to set up an environment on your computer. You can do so by following these setup instructions.

Resources

This short course is based on the lesson Introduction to Geospatial Raster and Vector Data with Python, which is part of the Carpentries Incubator.