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PythonCall v0.9.32

Diff since v0.9.31

Merged pull requests:

  • Add numpy dtype access for TypeValue (#738) (@cjdoris)
  • Adds tests (and fixes) for the dtype invariant. (#739) (@cjdoris)
  • Drop redundant word (#740) (@PallHaraldsson)
  • Add trace-compile configuration and internal config helpers (#743) (@gnuille)
  • Convert JuliaError.str to python error (on branch v1) (#744) (@dpinol)
  • Fix: support CPython free-threaded builds (3.14t) (#746) (@MilesCranmerBot)
  • fix compatibility with pandas 3 (#747) (@cjdoris)
  • juliacall now starts julia with one thread by default (#750) (@cjdoris)
  • Bump julia-actions/cache from 2 to 3 (#753) (@dependabot[bot])
  • Bump codecov/codecov-action from 5 to 6 (#756) (@dependabot[bot])
  • fix: honour JULIA_NUM_THREADS (#761) (@dpinol)
  • Bump julia-actions/setup-julia from 2 to 3 (#766) (@dependabot[bot])

Closed issues:

  • Segfault on M1 when loading Python Package MNE. (#315)
  • viewing Julia docstrings from Python (#468)
  • Segfault on import PythonCall (#563)
  • Numpy v1 compatibility broken on main with DimArray (#727)
  • Allow coercion of Julia types to NumPy dtypes (#737)
  • Python to Julia dataframe conversion broken by pandas v3.0 (#745)
  • JuliaCall segfault (even in fresh enviroment) with Julia 1.12 (#748)
  • JuliaCall does not honour JULIA_NUM_THREADS (#760)
Source: README.md, updated 2026-05-14