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
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