This course aims to prepare people who have no experience with Jupyter notebooks, conda environments, Pandas DataFrames, Numpy arrays, or plotting images for courses that make use of these Python packages, like the spatial data analysis course. Pandas DataFrames are typically used to store data tables for analysis (similar to R data frames), whereas Numpy arrays are often used to store image data. Matplotlib is a popular Python package for creating visualizations like images but also plots of your data. All these components are heavily used in the spatial data analysis pipelines (but also in other omics pipelines). The course will give you enough background knowledge to understand the Python scripts that are used in the spatial data analysis course and to adjust them according to your needs.