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@python.org <neuroimaging@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