Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.17.4 has been released. This is a bugfix release. The Python versions supported in this release are 3.5-3.8. Downstream developers should use Cython >= 0.29.13 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy Wheels for this release can be downloaded from PyPI https://pypi.org/project/numpy/1.17.4/, source archives and release notes are available from Github https://github.com/numpy/numpy/releases/tag/v1.17.4. *Highlights* - Fixed `random.random_integers` biased generation of 8 and 16 bit integers. - Fixed `np.einsum` regression on Power9 and z/Linux. - Fixed histogram problem with signed integer arrays *Contributors* A total of 5 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Chris Burr + - Matti Picus - Qiming Sun + - Warren Weckesser *Pull requests merged* A total of 8 pull requests were merged for this release. - gh-14758: BLD: Declare support for python 3.8 - gh-14781: BUG: Random: biased samples from integers() with 8 or 16 bit... - gh-14851: BUG: Fix `_ctypes` class circular reference. (gh-13808) - gh-14852: BLD: Add 'apt update' to shippable - gh-14855: BUG: Fix `np.einsum` errors on Power9 Linux and z/Linux - gh-14857: BUG: Fix histogram problem with signed integer arrays. - gh-14858: BLD: Prevent -flto from optimising long double representation... - gh-14866: MAINT: move buffer.h -> npy_buffer.h to avoid conflicts Cheers, Charles Harris