[Numpy-discussion] NumPy 1.12.0 release

[Neal Becker]

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.