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Badge](https://jupyterbook.org/badge.svg)](\u003chttps://alexenge.github.io/intro-to-eeg/\u003e)\n[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/alexenge/intro-to-eeg/deploy.yml)](https://github.com/alexenge/intro-to-eeg/actions/workflows/deploy.yml)\n[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)\n\nThis course provides a very brief introduction into analyzing electroencephalography (EEG) data.\n\nIt uses the [Python](https://www.python.org/) programming language and the [MNE-Python](https://mne.tools/stable/index.html) package for EEG analysis.\nPython and MNE-Python are open source software, which means that they are free to use and co-created and constantly improved by a large community of users.\nWhile prior programming experience is useful to follow the course materials, no specific knowledge of the Python language or MNE-Python is required.\n\nPlease visit **[alexenge.github.io/intro-to-eeg/](https://alexenge.github.io/intro-to-eeg/)** to view the course materials.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexenge%2Fintro-to-eeg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falexenge%2Fintro-to-eeg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexenge%2Fintro-to-eeg/lists"}