Follow the course through Binder: Weeks 1&2

RUG-Elective/Notebooks

Using mamba to create the Geo-Python environment

Starting steps

This briefly describes how to install a Python virtual environment for the Geospatial course.

1. Install miniconda from https://docs.conda.io/en/latest/miniconda.html
2. Install mamba

   conda install mamba -n base -c conda-forge

3. Clone the course from GitHub

   https://github.com/RUG-Elective/Notebooks_official.git

4. Change into the working directory with the cloned environment file (yml)

   cd python-environments

Creating the environment for students

1. Create the python environment using mamba

   mamba env create -f geospatial-student.yml

2. Activate the new environment

   conda activate geospatial-student

3. Install JupyterLab

   pip install jupyterlab

4. Install a new kernel (ipykernel) for the virtual environment

   pip install ipykernel

5. Register the environment as a kernel, give it a name and a display name

   python -m ipykernel install --user --name geospatial-student --display-name "Python (geospatial-student)"

6. Run Jupyterlab

   jupyter lab