Month: 2025-12. This month focused on delivering packaging for pyshtransform in the conda-forge ecosystem and tightening Python version compatibility to improve user adoption and maintainability. Key features delivered include a new conda-forge recipe for pyshtransform enabling installation and integration into user workflows, and a consolidated Python version policy requiring Python 3.11+ with a min-version variable in meta.yaml. Meta.yaml updates were performed to satisfy the linter and CI checks, reinforcing packaging reliability across environments. No major bugs were reported or fixed this month. Impact and accomplishments: streamlined installation via conda-forge, enabling faster onboarding for users and CI pipelines; improved ecosystem alignment with modern Python versions, reducing maintenance burden and future-proofing the package. Technologies/skills demonstrated: conda-forge packaging, meta.yaml configuration, Python packaging standards, linting/CI alignment, and cross-repo collaboration with packaging processes.

April 2025 was focused on improving correctness and reliability of stacking operations in the xarray toolkit, with a targeted bug fix in Dataset.to_stacked_array to ensure dimension stacking order is applied consistently, including after transpose. The work involved adding a regression test to prevent future regressions and enhances downstream data analysis stability.