Hi everyone, NumPy-QuadDType v0.2.0 is released ==================================
Highlights ---------- - Expanded support for NumPy operations and ufuncs - Improved cross platform stability and precision - Easier installation with improved packaging - Better linear algebra operation support - Compatible with free-threaded Python PyPI: https://pypi.org/project/numpy-quaddtype/ Conda-Forge: https://anaconda.org/conda-forge/numpy_quaddtype Contributors -------------- Thanks to Nathan Goldbaum and Juniper Tyree for their contributions. What is NumPy-QuadDType? ------------------------ NumPy-QuadDType introduces a cross-platform 128-bit (quad precision) floating-point data type for NumPy, enabling high-precision arithmetic and extended numerical functionality. Homepage and development: https://github.com/numpy/numpy-user-dtypes/tree/main/quaddtype Feedback -------- We appreciate all forms of feedback, including bug reports, suggestions, and general comments. Cheers, Swayam Singh _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3//lists/numpy-discussion.python.org Member address: arch...@mail-archive.com