We are excited to announce a new release of DIPY: DIPY 1.1.1 is out! In addition: a) A new 5 day workshop available during March 16-20 to learn the theory and applications of the hundreds of methods available in DIPY 1.1.1 Intense! See the exquisite program here <https://workshop.dipy.org>. *b) Given the need for a myriad of new DIPY derivative projects, DIPY moved to its own organization in GitHub. **Long live DIPY! * *And therefore, *https://github.com/dipy/dipy* supersedes https://github.com/nipy/dipy <https://github.com/nipy/dipy> The old link will be available as a redirect link for the next 6 months.* c) 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>otherwise the DIPY citation police will find you. ;) DIPY 1.1.1 (Friday, 10 January 2020) This release received contributions from 11 developers (the full release notes are at: https://dipy.org/documentation/1.1.1./release_notes/release1.1/). Thank you all for your contributions and feedback! Please click here <https://dipy.org/documentation/1.1.1./api_changes/> to check API changes. Highlights of this release include: - New module for deep learning DIPY.NN (uses TensorFlow 2.0). - Improved DKI performance and increased utilities. - Non-linear and RESTORE fits from DTI compatible now with DKI. - Numerical solutions for estimating axial, radial and mean kurtosis. - Added Kurtosis Fractional Anisotropy by Glenn et al. 2015. - Added Mean Kurtosis Tensor by Hansen et al. 2013. - Nibabel minimum version is 3.0.0. - Azure CI added and Appveyor CI removed. - New command line interfaces for LPCA, MPPCA and Gibbs Unringing. - New MTMS CSD tutorial added. - Horizon refactored and updated to support StatefulTractograms. - Speeded up all cython modules by using a smarter configuration setting. - All tutorials updated to API changes and 2 new tutorials added. - Large documentation update. - Closed 126 issues and merged 50 pull requests. Note: - Have in mind that DIPY stopped supporting 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 (0.4.0+). 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/nipy/dipy On behalf of the DIPY developers, Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro https://dipy.org/contributors