From Newsgroup: comp.lang.python.announce

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
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