I'm pleased to announce the NumPy 1.12.0rc2 New Year's release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY https://pypi.python.org/pypi?%3Aaction=pkg_edit&name=numpy, the tarball and zip files may be downloaded from Github https://github.com/numpy/numpy/releases/tag/v1.12.0rc2. The release notes and files hashes may also be found at Github https://github.com/numpy/numpy/releases/tag/v1.12.0rc2 .
NumPy 1.12.0rc 2 is the result of 413 pull requests submitted by 139 contributors and comprises a large number of fixes and improvements. Among the many improvements it is difficult to pick out just a few as standing above the others, but the following may be of particular interest or indicate areas likely to have future consequences.
* Order of operations in ``np.einsum`` can now be optimized for large speed improvements. * New ``signature`` argument to ``np.vectorize`` for vectorizing with core dimensions. * The ``keepdims`` argument was added to many functions. * New context manager for testing warnings * Support for BLIS in numpy.distutils * Much improved support for PyPy (not yet finished)