An Easy-to-Follow Handbook for EEG Data Analysis based on Python

Now published in Brain-X doi: 10.1002/brx2.64 This easy-to-follow handbook offers a straightforward guide to EEG data analysis using Python, aimed at all EEG researchers in cognitive neuroscience and related fields. It covers the journey from single-subject data preprocessing to advanced processing techniques across subjects, with a focus on practical application using Python libraries such as NumPy, MNE-Python, SciPy, NeuroRA, etc. Designed for easy comprehension, our handbook can serve as an essential tool for anyone looking to delve into the field of EEG data analysis with Python.