[Python-announce] [ANN] PyData/Sparse 0.18.0 released
Hameer Abbasi via Python-announce-list <[email protected]> Thu, 19 Feb 2026 07:39:08 +0100
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PyData/Sparse is a library providing N-dimensional sparse arrays for the PyData ecosystem. This release focuses on expanded array API compatibility, developer experience, and QoL fixes. Repo: https://github.com/pydata/sparse Docs: https://sparse.pydata.org/en/0.18.0/ Issue Tracker: https://github.com/pydata/sparse/issues Changelog What's Changed * Implementing `repeat` function by @prady0t in https://github.com/pydata/sparse/pull/875 * Adding `tile` function by @prady0t in https://github.com/pydata/sparse/pull/880 * Setting `boolean indexing` flag to False by @prady0t in https://github.com/pydata/sparse/pull/884 * Adding `unstack` function by @prady0t in https://github.com/pydata/sparse/pull/883 * Fixing `check_zero_fill_value` by @prady0t in https://github.com/pydata/sparse/pull/886 * Running codecov only when tests pass by @prady0t in https://github.com/pydata/sparse/pull/887 * Adding `diff` function by @prady0t in https://github.com/pydata/sparse/pull/888 * Making benchmarking tests deterministic by @prady0t in https://github.com/pydata/sparse/pull/891 * Migration guide by @hameerabbasi in https://github.com/pydata/sparse/pull/898 * Lock mlir to python <3.14 by @prady0t in https://github.com/pydata/sparse/pull/906 * feat: Add sparse.interp function for numba backend by @peanutfun in https://github.com/pydata/sparse/pull/903 * Update Finch notebook by @mtsokol in https://github.com/pydata/sparse/pull/911 * BUG: asarray: fix default format for `SparseArray` input by @lucascolley in https://github.com/pydata/sparse/pull/918 * [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/pydata/sparse/pull/916 * BLD/DEV/CI: better Pixi setup by @lucascolley in https://github.com/pydata/sparse/pull/920 * ENH: transition to SciPy sparse arrays from matrices by @lucascolley in https://github.com/pydata/sparse/pull/919 * DEV/CI: use Pixi for examples, notebooks, and xp-tests by @lucascolley in https://github.com/pydata/sparse/pull/922 New Contributors * @peanutfun made their first contribution in https://github.com/pydata/sparse/pull/903 * @lucascolley made their first contribution in https://github.com/pydata/sparse/pull/918 Full Changelog: https://github.com/pydata/sparse/compare/0.17.0...0.18.0 _______________________________________________ Python-announce-list mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/python-announce-list.python.org Member address: [email protected]