[Mne_analysis] Mne_analysis Digest, Vol 55, Issue 15

[Alexandre Gramfort]

hi Kambiz,

I am glad that you found your way but "python setup.py install"
or "python setup.py install --user" (for single user install) should work.
I tried and it seemed to work.

For most users "easy_install -U mne" or 'pip install mne --upgrade"
should do automatic install from the web.

Alex

On Fri, Aug 24, 2012 at 12:50 AM, Kambiz Tavabi <ktavabi at uw.edu> wrote:
> Regarding the last message about python import error for mne module. I
> found a solution with appending the mne-python installation directory to
> my python path in my bashrc, which wasn't the case with the previous
> version. In any case, things seem to be in order now, please disregard
> last post.
> Kam
>
> On 08/23/2012 09:00 AM, mne_analysis-request at nmr.mgh.harvard.edu wrote:
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>> Today's Topics:
>>
>>     1. [ANN] MNE-Python 0.4 release (Alexandre Gramfort)
>>
>>
>> ----------------------------------------------------------------------
>>
>> Message: 1
>> Date: Wed, 22 Aug 2012 19:34:36 +0200
>> From: Alexandre Gramfort <gramfort at nmr.mgh.harvard.edu>
>> Subject: [Mne_analysis] [ANN] MNE-Python 0.4 release
>> To: mne_analysis at nmr.mgh.harvard.edu, "NIPY Developer's List"
>>       <nipy-devel at neuroimaging.scipy.org>
>> Cc: megscan at nmr.mgh.harvard.edu
>> Message-ID:
>>       <CADeotZrszNp64ok-RjmGVTYQN-Mv9d9D54Yw730qj3+7A-qmYg at mail.gmail.com>
>> Content-Type: text/plain; charset=ISO-8859-1
>>
>> Hi,
>>
>> A few months after the last release of MNE-python and a few days before
>> Biomag 2012, I am pleased to announce the new 0.4 release.
>>
>> This release comes with bug fixes and many great new features:
>> LCMV Beamformers, L1/L2 MxNE, sLORETA and much more.
>>
>> See the detailed summary on the what's new page:
>>
>> http://martinos.org/mne/whats_new.html
>>
>> As usual we welcome bug reports, feature requests and even more contributions.
>>
>> Many thanks to the four new contributors:
>>
>> Daniel Strohmeier, Christian Brodbeck, Louis Thibault and Brad Buran.
>>
>> Some links;
>>
>> - http://martinos.org/mne (full MNE documentation with the Python examples)
>> - https://github.com/mne-tools/mne-python (code + readme on how to install)
>>
>> Regards,
>> The MNE-Python developers
>>
>>
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