This lesson was originally given as an interactive tutorial the 6th of May at the Nordic Nanolab User Meeting (NNUM) 2022 at Chalmers University of Technology, with the title "HyperSpy: Reproducible and open source data analysis of Electron Microscopy data using Jupyter Notebooks". It gives an introduction to JupyterLab, Python and HyperSpy, through looking at a slice-and-view Scanning Electron Microscopy - Energy Dispersive X-ray Spectroscopy (SEM-EDS) dataset. It is intended for people who are familiar with SEM-EDX, but has no experience with JupyterLab, Python and HyperSpy. This deposit consist of: - A Jupyter Notebook on how to use JupyterLab - A Jupyter Notebook on how to analyse SEM-EDS data using HyperSpy - SEM-EDS and SEM-SE datasets. - A zip-file containing all these files, to make it easier to download them all. The sample and the data used in the SEM-EDS notebook are described in P. Burdet, et al., Ultramicroscopy, 148, p. 158-167 (2015). https://doi.org/10.1016/j.ultramic.2014.10.010 The initial version of the SEM-EDS Jupyter Notebook was made by Pierre Burdet. This was adapted by Magnus Nord, to show and explain basic Python and HyperSpy concepts. Requires: - HyperSpy 1.7.0 (with GUI libraries) - JupyterLab See the requirements.txt