Release 0.3.0 preparations (#43)

* Bump version, update README

* Add py3.12 to CI

.github/workflows/build_test.yml

@@ -16,7 +16,7 @@ jobs:
       fail-fast: false
       matrix:
         os: ['ubuntu-latest', 'macos-latest', 'windows-latest']
-        python-version: ['3.10', '3.11']
+        python-version: ['3.10', '3.11', '3.12']
     env:
       MPLBACKEND: Agg  # https://github.com/orgs/community/discussions/26434
     steps:

CHANGELOG.md

@@ -6,8 +6,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/).
 
 ## Unreleased
 
+# 0.3.0 (2024-09-05)
+
 New contributors:
- - @slevang
+ - [@slevang](https://github.com/slevang)
 
 Fixed:
  - conservative regridding now can be constructed fully lazily [#39](https://github.com/EXCITED-CO2/xarray-regrid/pull/39).
@@ -20,7 +22,7 @@ Added:
 ## v0.2.3 (2024-02-29)
 
 New contributors:
- - @kjdoore
+ - [@kjdoore](https://github.com/kjdoore)
 
 Fixed:
  - Ensure all attributes are kept upon regridding (dataset, variable and coordinate attrs) ([#27](https://github.com/EXCITED-CO2/xarray-regrid/pull/27)).

README.md

@@ -10,6 +10,8 @@ With xarray-regrid it is possible to regrid between two rectilinear grids. The f
  - Cubic
  - "Most common value" (zonal statistics)
 
+All regridding methods, except for the "most common value" can operate lazily on [Dask arrays](https://docs.xarray.dev/en/latest/user-guide/dask.html).
+
 Note that "Most common value" is designed to regrid categorical data to a coarse resolution. For regridding categorical data to a finer resolution, please use "nearest-neighbor" regridder.
 
 [![PyPI](https://img.shields.io/pypi/v/xarray-regrid.svg?style=flat)](https://pypi.python.org/pypi/xarray-regrid/)

src/xarray_regrid/__init__.py

@@ -9,4 +9,4 @@
     "methods",
 ]
 
-__version__ = "0.2.3"
+__version__ = "0.3.0"