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Hello all! We are excited to announce a new *major release* of Diffusion Imaging in Python (DIPY). *DIPY 0.14 (Tuesday, 1rst May 2018)* This release received contributions from *24 developers*. A warm thank you to each one of you for your contribution. The complete release notes are available at: http://nipy.org/dipy/release0.14.html *Highlights *of this release include: - *RecoBundles*: anatomically relevant segmentation of bundles - New super fast clustering algorithm: *QuickBundlesX* - New tracking algorithm:* Particle Filtering Tracking*. - New tracking algorithm: *Probabilistic Residual Bootstrap Tracking*. - New API for reading, saving and processing tractograms. - Fiber ORientation Estimated using Continuous Axially Symmetric Tensors (*FORECAST*). - New command line interfaces. - Deprecated fvtk (old visualization framework). - A range of new visualization improvements. - *Large documentation update*. To upgrade, run the following command in your terminal: *pip install --upgrade dipy* or *conda install -c conda-forge dipy* This version of DIPY depends on recent versions of nibabel (2.1.0+). For any questions go to http://dipy.org, or send an e-mail to [log in to unmask] or ask a question to our interactive chat room available at https://gitter.im/nipy/dipy On behalf of the DIPY developers, Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro http://dipy.org/developers.html