Hi All, On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.15.4. This is a bugfix release for bugs and regressions reported following the 1.15.3 release. The most noticeable fix is probably having a boolean type fill value for masked arrays after the use of `==` and `!=`. The Python versions supported by this release are 2.7, 3.4-3.7. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.15.4/>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.15.4>. Compatibility Note ================== The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit binaries. That will also be the case in future releases. See `#11625 < https://github.com/numpy/numpy/issues/11625>`__ for the related discussion. Those needing 32-bit support should look elsewhere or build from source. Contributors ============ A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Matti Picus - Sebastian Berg - bbbbbbbbba + Pull requests merged ==================== A total of 4 pull requests were merged for this release. - `#12296 <https://github.com/numpy/numpy/pull/12296>`__: BUG: Dealloc cached buffer info - `#12297 <https://github.com/numpy/numpy/pull/12297>`__: BUG: Fix fill value in masked array '==' and '!=' ops. - `#12307 <https://github.com/numpy/numpy/pull/12307>`__: DOC: Correct the default value of `optimize` in `numpy.einsum` - `#12320 <https://github.com/numpy/numpy/pull/12320>`__: REL: Prepare for the NumPy 1.15.4 release Cheers, Charles Harris