# \[ANN\] New MNE web site and official release of MNE-Python 0.1 **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [September 24, 2011, 1:24am UTC](https://mne.discourse.group/t/ann-new-mne-web-site-and-official-release-of-mne-python-0-1/362 "2011-09-24T01:24:46Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [September 24, 2011, 1:24am UTC](https://mne.discourse.group/t/ann-new-mne-web-site-and-official-release-of-mne-python-0-1/362/1 "2011-09-24T01:24:46Z")
Hi MNE users, I am excited to announce that the new MNE web site is now online and that it comes with a fresh release of MNE-Python 0.1. The website is available at : [http://martinos.org/mne/](http://martinos.org/mne/) It includes all the content of the current MNE manual and a new section dedicated to MNE data processing with Python. MNE Python comes with a lot of examples: [http://martinos.org/mne/auto\_examples/index.html](http://martinos.org/mne/auto_examples/index.html) adding some new features to MNE like statistics, time-frequency analysis in sensor and source space. All examples should run out of the box after an automatic download of a preprocessed version of the MNE sample data (but be patient ? it's more than 1GB). The MNE Python code is available at: [https://github.com/mne-tools/mne-python](https://github.com/mne-tools/mne-python) It's BSD licensed and warmly welcomes contributions. I am looking forward for your hopefully positive feed back Best, Alex PS1: special thanks to Emily Ruzich for helping me converting the MNE Manual to the new format. PS2: thanks to all early users and contributors at MGH. PS3: If you have a working python environment, install should be as easy as: