News
0.1.0
- First public
pymizer release as a standalone Python package wrapping the R mizer package
- Added wrappers for
MizerParams, MizerSim, model constructors, steady workflows, and common simulation output accessors
- Added built-in dataset access from Python, including the bundled North Sea helper
- Added parameter editing workflows for the common “load, tweak, rerun” modelling pattern
- Added packaging metadata, installation guidance, and wheel/source distribution checks for publishing
- Added Python tests, CI coverage, example regression tests, and documentation-build checks
- Added advanced bridge helpers for raw R evaluation, generic
.rds round-tripping, and controlled rate-function registration
- Added notebook-friendly ergonomics such as concise wrapper reprs,
biomass_tidy(), and plot_biomass()
- Added a Quarto documentation site with articles, developer guidance, and generated API reference