Charles R Harris wrote: > Hi All, > > I'm pleased to announce the NumPy 1.12.0 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/v1.12.0>. The release notes > and files hashes may also be found at Github > <https://github.com/numpy/numpy/releases/tag/v1.12.0> . > > NumPy 1.12.0rc 2 is the result of 418 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) > > Enjoy, > > Chuck
I've installed via pip3 on linux x86_64, which gives me a wheel. My question is, am I loosing significant performance choosing this pre-built binary vs. compiling myself? For example, my processor might have some more features than the base version used to build wheels. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
