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Chunk #6 — 1. Introduction

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MEG and EEG data analysis with MNE-Python.
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with spreadsheet table oriented data processing tools as often used in econometrics and behavioral sciences. Mayavi, Scikit-Learn and Pandas are only required by a small subset of the code, and are therefore considered optional dependencies. Besides these general libraries, MNE-Python has some other optional dependencies on neuroimaging packages such as Nibabel for reading and writing volume data (MRI, fMRI). The online documentation of MNE is generated with Sphinxhttp://sphinx-doc.org.