Documentation overview

The documentation for MNE-Python is divided into four main sections:

1. The :doc:`../auto_tutorials/index` provide narrative explanations, sample code, and expected output for the most common MNE-Python analysis tasks. The emphasis is on thorough explanations that get new users up to speed quickly, at the expense of covering only a limited number of topics.
2. The :doc:`How-to Examples <../auto_examples/index>` provides working code samples demonstrating various analysis and visualization techniques. These examples often lack the narrative explanations seen in the tutorials, but can be a useful way to discover new analysis or plotting ideas, or to see how a particular technique you've read about can be applied using MNE-Python.
3. The :doc:`glossary` provides short definitions of MNE-Python-specific vocabulary and general neuroimaging concepts. The glossary is often a good place to look if you don't understand a term or acronym used somewhere else in the documentation.
4. The :doc:`API reference <../api/python_reference>` provides documentation for the classes, functions and methods in the MNE-Python codebase. This is the same information that is rendered when running :samp:`help(mne.{<function_name>})` in an interactive Python session, or when typing :samp:`mne.{<function_name>}?` in an IPython session or Jupyter notebook.

The rest of the MNE-Python documentation pages (parts outside of the four categories above) are shown in the navigation menu, including the :ref:`list of example datasets<datasets>`, :ref:`implementation details<implementation>`, and more. Documentation for the related C and MATLAB tools are available here:

• `MNE-MATLAB`_ (repository)
• `MNE-C <MNE-C manual_>`_ (PDF)