Hello all,
We are excited to announce a new release of DIPY: DIPY 1.2 is out!
Please support us by citing DIPY in your papers using the following DOI:
10.3389/fninf.2014.00008 <https://www.ncbi.nlm.nih.gov/pubmed/24600385>
DIPY 1.2.0 (Wednesday, 9 September 2020)
This release received contributions from 27 developers (the full release
notes are at:
https://dipy.org/documentation/1.2.0./release_notes/release1.2/). Thank you
all for your contributions and feedback!
Please click here <https://dipy.org/documentation/1.2.0./api_changes/> to
check API changes.
Highlights of this release include:
- New command line interfaces for group analysis: BUAN.
- Added b-tensor encoding for gradient table.
- Better support for single shell or multi-shell response functions.
- Stats module refactored.
- Numpy's minimum version is 1.2.0.
- Fixed compatibilities with FURY 0.6+, VTK9+, CVXPY 1.1+.
- Added multiple tutorials for DIPY command line interfaces.
- Updated SH basis convention.
- Improved performance of tissue classification.
- Fixed a memory overlap bug (multi_median).
- Large documentation update (typography / references).
- Closed 256 issues and merged 94 pull requests.
Note:
-
Have in mind that DIPY does not support Python 2 after version 0.16.0.
All major Python projects have switched to Python 3. It is time that you
switch too.
To upgrade or install <http://dipy.org/release0.10.html> DIPY
Run the following command in your terminal:
<http://dipy.org/release0.10.html>
pip install --upgrade dipy
or
conda install -c conda-forge dipy
This version of DIPY depends on nibabel (3.0.0+).
For visualization you need FURY (0.6.1+).
Questions or suggestions?
For any questions go to http://dipy.org, or send an e-mail to
dipy(a)python.org <neuroimaging(a)python.org>
We also have an instant messaging service and chat room available at
https://gitter.im/dipy/dipy <https://gitter.im/nipy/dipy>
On behalf of the 110 DIPY developers,
Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro
https://dipy.org/contributors
