============================= Announcing PyData/Sparse 0.4.1 =============================
(Apologies for the cross-posting) Hi everyone, This is a performance, bug-fix and feature release. The changelog can be seen at https://sparse.pydata.org/en/latest/changelog.html Highlights include: Faux In-place operations Mixed ndarray-sparse operations Fill-values other than zero Misc support for different functions What’s PyData/Sparse? ——————————— PyData/Sparse is a an N-dimensional sparse array library. It’s compatible with NumPy and follows the ndarray interface as closely as possible. It depends on NumPy, SciPy and Numba. Where can I find PyData/Sparse? ——————————————— The project is available on GitHub at https://github.com/pydata/sparse and is available on PyPI and conda-forge as “sparse”. Documentation is hosted as https://sparse.pydata.org. Best Regards, Hameer Abbasi
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