Version 0.5.0

This release adds support for the new Dask DataFrame query-planning API.
This also updates the minimum Python version to 3.10 and the minimum Pandas version to 2.0.
It also includes several enhancements and compatibility changes with upstream packages.
Many thanks to @Azaya89 for contributing to this release and to @maximlt and @hoxbro for maintaining the project on an ongoing basis.

Enhancements

• Support the new Dask DataFrame query-planning API (#171)
• Ensure that pandas dtype matches dask when loading data from parquet (#156)

Compatibility:

• Numpy 2.0 (#140, #141)
• Pandas 2.2 (#143)
• Geopandas 1.0 (#148)
• Numba 0.61 and Python 3.13 (#172)

Bug fix:

• Use importlib.util.find_spec for dask detection (#163)

Tests:

• Allow point comparison (#149)
• Add example conftest (#150)
• Fix download data for examples (#155)
• Update resolution for floats in tests (#157)
• Don't compare line length of zero size (#161)

Infrastructure / CI:

• Move infrastructure to Pixi, Hatchling, Pre-commit, and Ruff (#142)
• Enable Ruff rules (#151, #153, #154, #173)
• Update test to use collector (#162)
• Small updates to build infrastructure (#165)
• Modify nighly-lock workflow to exclude forks (#174)