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:orphan:
.. include:: ../links.inc
Documentation overview
======================
.. note::
If you haven't already installed Python and MNE-Python, here are the
:doc:`installation instructions <install/index>`, and some resources for
:doc:`learn_python`.
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:`Examples Gallery <../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 <../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 linked here:
.. toctree::
:maxdepth: 1
faq
design_philosophy
implementation
datasets_index
cookbook
../generated/commands
migrating
cite
get_help
Documentation for the related C and MATLAB tools are available here:
- :ref:`MNE-MATLAB <mne_matlab>` (HTML)
- `MNE-C <MNE-C manual_>`_ (PDF)
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