Charles R Harris
2016-12-20 01:43:48 UTC
Hi All,
I am pleased to announce the release of NumPy 1.12.0rc1. This release
supports Python 2.7 and 3.4 - 3.6 and is the result of 406 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)
The release notes are quite sizable and rather than put them inline I've
attached them as a file. They may also be viewed at Github
<https://github.com/numpy/numpy/releases/tag/v1.12.0rc1>. Zip files and
tarballs may also be found the Github link. Wheels and a zip archive are
available from PyPI, which is the recommended method of installation.
Cheers,
Charles Harris
I am pleased to announce the release of NumPy 1.12.0rc1. This release
supports Python 2.7 and 3.4 - 3.6 and is the result of 406 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)
The release notes are quite sizable and rather than put them inline I've
attached them as a file. They may also be viewed at Github
<https://github.com/numpy/numpy/releases/tag/v1.12.0rc1>. Zip files and
tarballs may also be found the Github link. Wheels and a zip archive are
available from PyPI, which is the recommended method of installation.
Cheers,
Charles Harris