Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.21.3. NumPy 1.21.3 is a maintenance release that fixes a few bugs discovered after the 1.21.2 release. It also provides 64 bit Python 3.10.0 wheels. Note a few oddities about the Python 3.10 wheels: - There are no 32 bit wheels for Windows, Mac, or Linux. - The Mac Intel builds are only available in universal2 wheels. The Python versions supported in this release are 3.7-3.10. If you want to compile your own version using gcc-11 you will need to use gcc-11.2+ to avoid problems. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.21.3/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.21.3>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. A recent version of pip is needed to install the universal2 macos wheels. *Contributors* A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aaron Meurer - Bas van Beek - Charles Harris - Developer-Ecosystem-Engineering + - Kevin Sheppard - Sebastian Berg - Warren Weckesser *Pull requests merged* A total of 8 pull requests were merged for this release. - #19745: ENH: Add dtype-support to 3 ```generic``/``ndarray`` methods - #19955: BUG: Resolve Divide by Zero on Apple silicon + test failures... - #19958: MAINT: Mark type-check-only ufunc subclasses as ufunc aliases... - #19994: BUG: np.tan(np.inf) test failure - #20080: BUG: Correct incorrect advance in PCG with emulated int128 - #20081: BUG: Fix NaT handling in the PyArray_CompareFunc for datetime... - #20082: DOC: Ensure that we add documentation also as to the dict for... - #20106: BUG: core: result_type(0, np.timedelta64(4)) would seg. fault. Cheers, Charles Harris