From fcd46f45e87ad26f22714a64052d7f2431c43313 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Mon, 30 Jun 2025 15:55:17 +0200
Subject: [PATCH 1/8] composite pixi action

---
 .github/actions/setup-pixi/action.yml |   11 +
 .github/workflows/main.yaml           |    8 +-
 .github/workflows/nocache.yaml        |    6 +-
 .github/workflows/pull_request.yaml   |    8 +-
 .github/workflows/qaqc.yaml           |    6 +-
 .gitignore                            |    1 +
 pixi.lock                             | 1474 ++++++++++++++-----------
 pyproject.toml                        |   46 +-
 8 files changed, 898 insertions(+), 662 deletions(-)
 create mode 100644 .github/actions/setup-pixi/action.yml

diff --git a/.github/actions/setup-pixi/action.yml b/.github/actions/setup-pixi/action.yml
new file mode 100644
index 00000000..d7ad03fc
--- /dev/null
+++ b/.github/actions/setup-pixi/action.yml
@@ -0,0 +1,11 @@
+name: "Setup Pixi"
+description: "Create Python environment for GitHub Action Job"
+
+runs:
+  using: "composite"
+  steps:
+    - uses: prefix-dev/setup-pixi@v0.8.10
+      with:
+        manifest-path: pyproject.toml
+        cache: true
+        activate-environment: true
diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index 541b5413..c9cc918f 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -30,13 +30,9 @@ jobs:
         with:
           path: _build
           # NOTE: change key to "jupyterbook-DATE" to force rebuilding cache
-          key: jupyterbook-20250221
+          key: jupyterbook-20250630
 
-      - uses: prefix-dev/setup-pixi@v0.8.2
-        with:
-          manifest-path: pyproject.toml
-          cache: true
-          activate-environment: true
+      - uses: ./.github/actions/setup-pixi
 
       - name: Build JupyterBook
         run: |
diff --git a/.github/workflows/nocache.yaml b/.github/workflows/nocache.yaml
index a33d0b22..1fbc7ed4 100644
--- a/.github/workflows/nocache.yaml
+++ b/.github/workflows/nocache.yaml
@@ -21,11 +21,7 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v4
 
-      - uses: prefix-dev/setup-pixi@v0.8.2
-        with:
-          manifest-path: pyproject.toml
-          cache: true
-          activate-environment: true
+      - uses: ./.github/actions/setup-pixi
 
       # https://github.com/xarray-contrib/xarray-tutorial/issues/311
       - name: Configure graphviz
diff --git a/.github/workflows/pull_request.yaml b/.github/workflows/pull_request.yaml
index b969d043..3eecff95 100644
--- a/.github/workflows/pull_request.yaml
+++ b/.github/workflows/pull_request.yaml
@@ -24,13 +24,9 @@ jobs:
         with:
           path: _build
           # NOTE: change key to "jupyterbook-DATE" to force rebuilding cache
-          key: jupyterbook-20250221
+          key: jupyterbook-20250630
 
-      - uses: prefix-dev/setup-pixi@v0.8.2
-        with:
-          manifest-path: pyproject.toml
-          cache: true
-          activate-environment: true
+      - uses: ./.github/actions/setup-pixi
 
       - name: Build JupyterBook
         if: github.event.action != 'closed'
diff --git a/.github/workflows/qaqc.yaml b/.github/workflows/qaqc.yaml
index 1b22eb99..c57528ec 100644
--- a/.github/workflows/qaqc.yaml
+++ b/.github/workflows/qaqc.yaml
@@ -19,11 +19,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - uses: prefix-dev/setup-pixi@v0.8.2
-        with:
-          manifest-path: pyproject.toml
-          cache: true
-          activate-environment: true
+      - uses: ./.github/actions/setup-pixi
 
       # NOTE: this isn't a comprehensive spellcheck, just common typos
       - name: Spellcheck
diff --git a/.gitignore b/.gitignore
index 5de41283..51efb17c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,6 +9,7 @@ _build/
 *.tiff
 *.tif
 dask-worker-space/
+.jupyter_cache
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/pixi.lock b/pixi.lock
index 07a87ab6..63647960 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -64,8 +64,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cachetools-5.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py312hf9745cd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cattrs-25.1.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.1.31-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.10.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.10.6-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py312hc0a28a1_1.conda
@@ -82,11 +83,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-44.0.1-py312hda17c39_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.0.1-py312h66e93f0_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2025.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2025.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2025.5.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2025.5.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/datashader-0.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/datashader-0.18.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.13.6-h5008d03_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.12-py312h2ec8cdc_0.conda
@@ -94,7 +94,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/deprecated-1.2.18-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2025.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2025.5.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docopt-ng-0.9.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.20.1-py312h7900ff3_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
@@ -105,7 +105,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.17.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/flexcache-0.3-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/flexparser-0.4-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/flox-0.10.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/flox-0.10.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
@@ -115,12 +115,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.56.0-py312h178313f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.13.3-ha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h9dce30a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.5.0-py312h178313f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2025.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.5.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2025.5.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.12-hb9ae30d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.4-h3551947_0.conda
@@ -146,17 +146,17 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.12.1-nompi_py312hd203070_103.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.14.0-nompi_py312h3faca00_100.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.2.0-h4bba637_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h2d575fe_101.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hicolor-icon-theme-0.17-ha770c72_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/holoviews-1.20.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.7-pyh29332c3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.11.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.11.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.7-pyhd8ed1ab_0.conda
@@ -168,6 +168,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.32.0-pyh907856f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/itsdangerous-2.2.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jmespath-1.0.1-pyhd8ed1ab_1.conda
@@ -177,7 +178,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2024.10.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-1.0.3-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-1.0.4.post1-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-1.0.1-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-resource-usage-1.1.1-pyhd8ed1ab_0.conda
@@ -188,7 +189,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.12.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.15.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.3.5-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.4.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_1.conda
@@ -216,7 +217,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-31_he106b2a_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.12.1-h332b0f4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.14.1-h332b0f4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libde265-1.0.15-h00ab1b0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
@@ -224,6 +225,8 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.13.3-ha770c72_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.13.3-h48d6fc4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda
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@@ -242,7 +245,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.4-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h0134ee8_117.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.29-pthreads_h94d23a6_0.conda
@@ -268,19 +271,21 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.6-h8d12d68_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.7-h8d12d68_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.39-h76b75d6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_26.conda
+  sha256: d18d77c8edfbad37fa0e0bb0f543ad80feb85e8fe5ced0f686b8be463742ec0b
+  md5: 312f3a0a6b3c5908e79ce24002411e32
   depends:
-  - vc14_runtime >=14.42.34433
+  - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 17669
-  timestamp: 1737627066773
+  size: 17888
+  timestamp: 1750371463202
 - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.23.1-h3e06ad9_0.conda
   sha256: 0884b2023a32d2620192cf2e2fc6784b8d1e31cf9f137e49e00802d4daf7d1c1
   md5: 0a732427643ae5e0486a727927791da1
@@ -12176,39 +12421,39 @@ packages:
   license_family: GPL
   size: 5517425
   timestamp: 1646611941216
-- conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.1.2-pyhd8ed1ab_0.conda
-  sha256: 0f59c2718573770b01d849e05a56a7fe1461f55bf7525c4df5552079c5c03427
-  md5: b8d9af89c48fa3359f05f3324809fcde
+- conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda
+  sha256: e27b45ca791cfbcad37d64b8615d0672d94aafa00b014826fcbca2ce18bd1cc0
+  md5: 145c6f2ac90174d9ad1a2a51b9d7c1dd
   depends:
   - numpy >=1.24
   - packaging >=23.2
   - pandas >=2.1
   - python >=3.10
   constrains:
-  - pint >=0.22
-  - netcdf4 >=1.6.0
-  - cartopy >=0.22
-  - iris >=3.7
-  - h5py >=3.8
-  - nc-time-axis >=1.4
-  - sparse >=0.14
-  - bottleneck >=1.3
   - scipy >=1.11
-  - numba >=0.57
-  - toolz >=0.12
-  - h5netcdf >=1.3
-  - distributed >=2023.11
   - dask-core >=2023.11
+  - bottleneck >=1.3
+  - zarr >=2.16
   - flox >=0.7
+  - h5py >=3.8
+  - iris >=3.7
+  - cartopy >=0.22
+  - numba >=0.57
+  - sparse >=0.14
+  - pint >=0.22
+  - distributed >=2023.11
+  - hdf5 >=1.12
   - seaborn-base >=0.13
-  - zarr >=2.16
+  - nc-time-axis >=1.4
   - matplotlib-base >=3.8
+  - toolz >=0.12
+  - netcdf4 >=1.6.0
   - cftime >=1.6
-  - hdf5 >=1.12
+  - h5netcdf >=1.3
   license: Apache-2.0
   license_family: APACHE
-  size: 837969
-  timestamp: 1738313762187
+  size: 879913
+  timestamp: 1749743321359
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-h988505b_2.conda
   sha256: 339ab0ff05170a295e59133cd0fa9a9c4ba32b6941c8a2a73484cc13f81e248a
   md5: 9dda9667feba914e0e80b95b82f7402b
@@ -12628,9 +12873,9 @@ packages:
   license_family: Apache
   size: 141616
   timestamp: 1737576608333
-- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.3-pyhd8ed1ab_0.conda
-  sha256: 1a59dc8a8c68413edd3ada0656eb492b3b233ab0db82f09f29907767225d7c24
-  md5: 7fc61289bd623366ccfdb821fc5d885a
+- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.8-pyhd8ed1ab_0.conda
+  sha256: 854caa950d31deca0c82ca2cdf45c19a47484b9838c7e357d967d42826c2766e
+  md5: fe4ccd05ad433a71414ac17137288809
   depends:
   - crc32c
   - donfig >=0.8
@@ -12643,8 +12888,8 @@ packages:
   - fsspec >=2023.10.0
   license: MIT
   license_family: MIT
-  size: 191015
-  timestamp: 1739705524309
+  size: 214470
+  timestamp: 1747730730866
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h3b0a872_7.conda
   sha256: a4dc72c96848f764bb5a5176aa93dd1e9b9e52804137b99daeebba277b31ea10
   md5: 3947a35e916fcc6b9825449affbf4214
@@ -12734,39 +12979,35 @@ packages:
   license_family: Other
   size: 107439
   timestamp: 1727963788936
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
-  sha256: b97015e146437283f2213ff0e95abdc8e2480150634d81fbae6b96ee09f5e50b
-  md5: 8b7069e9792ee4e5b4919a7a306d2e67
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h66e93f0_2.conda
+  sha256: ff62d2e1ed98a3ec18de7e5cf26c0634fd338cb87304cf03ad8cbafe6fe674ba
+  md5: 630db208bc7bbb96725ce9832c7423bb
   depends:
   - __glibc >=2.17,<3.0.a0
   - cffi >=1.11
   - libgcc >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - zstd >=1.5.6,<1.5.7.0a0
-  - zstd >=1.5.6,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 419552
-  timestamp: 1725305670210
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
-  sha256: d00ca25c1e28fd31199b26a94f8c96574475704a825d244d7a6351ad3745eeeb
-  md5: a4cde595509a7ad9c13b1a3809bcfe51
+  size: 732224
+  timestamp: 1745869780524
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312hea69d52_2.conda
+  sha256: c499a2639c2981ac2fd33bae2d86c15d896bc7524f1c5651a7d3b088263f7810
+  md5: ba0eb639914e4033e090b46f53bec31c
   depends:
   - __osx >=11.0
   - cffi >=1.11
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  - zstd >=1.5.6,<1.5.7.0a0
-  - zstd >=1.5.6,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 330788
-  timestamp: 1725305806565
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
-  sha256: 3e0c718aa18dcac7f080844dbe0aea41a9cea75083019ce02e8a784926239826
-  md5: a92cc3435b2fd6f51463f5a4db5c50b1
+  size: 532173
+  timestamp: 1745870087418
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h4389bb4_2.conda
+  sha256: 10f25f85f856dbc776b4a2cf801d31edd07cbfaa45b9cca14dd776a9f2887cb5
+  md5: 24554d76d0efcca11faa0a013c16ed5a
   depends:
   - cffi >=1.11
   - python >=3.12,<3.13.0a0
@@ -12774,42 +13015,41 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
-  - zstd >=1.5.6,<1.5.7.0a0
-  - zstd >=1.5.6,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 320624
-  timestamp: 1725305934189
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
-  sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
-  md5: 4d056880988120e29d75bfff282e0f45
+  size: 444685
+  timestamp: 1745870132644
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
+  sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
+  md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 554846
-  timestamp: 1714722996770
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
-  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
-  md5: d96942c06c3e84bfcc5efb038724a7fd
+  size: 567578
+  timestamp: 1742433379869
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_2.conda
+  sha256: 0d02046f57f7a1a3feae3e9d1aa2113788311f3cf37a3244c71e61a93177ba67
+  md5: e6f69c7bcccdefa417f056fa593b40f0
   depends:
   - __osx >=11.0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 405089
-  timestamp: 1714723101397
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
-  sha256: 768e30dc513568491818fb068ee867c57c514b553915536da09e5d10b4ebf3c3
-  md5: 9a17230f95733c04dc40a2b1e5491d74
+  size: 399979
+  timestamp: 1742433432699
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_2.conda
+  sha256: bc64864377d809b904e877a98d0584f43836c9f2ef27d3d2a1421fa6eae7ca04
+  md5: 21f56217d6125fb30c3c3f10c786d751
   depends:
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
-  size: 349143
-  timestamp: 1714723445995
+  size: 354697
+  timestamp: 1742433568506
diff --git a/pyproject.toml b/pyproject.toml
index e2e408db..39d59457 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -60,39 +60,39 @@ precommit = "pre-commit run --all"
 checklinks = "jupyter-book build ./ --builder linkcheck"
 
 [tool.pixi.dependencies]
-jupyter-book = ">=1.0.3,<2"
-pre-commit = ">=4.1.0,<5"
+jupyter-book = ">=1.0.4.post1,<2"
+pre-commit = ">=4.2.0,<5"
 dask-labextension = ">=7.0.0,<8"
-jupyterlab = ">=4.3.5,<5"
+jupyterlab = ">=4.4.4,<5"
 jupyter_bokeh = ">=4.0.5,<5"
 jupyterlab-myst = ">=2.4.2,<3"
 jupyter-resource-usage = ">=1.1.1,<2"
 cartopy = ">=0.24.0,<0.25"
-cf_xarray = ">=0.10.0,<0.11"
-dask = ">=2025.2.0,<2026"
-datashader = ">=0.17.0,<0.18"
-distributed = ">=2025.2.0,<2026"
-gcsfs = ">=2025.2.0,<2026"
+cf_xarray = ">=0.10.6,<0.11"
+dask = ">=2025.5.1,<2026"
+datashader = ">=0.18.1,<0.19"
+distributed = ">=2025.5.1,<2026"
+gcsfs = ">=2025.5.1,<2026"
 geoviews-core = ">=1.14.0,<2"
 gsw = ">=3.6.19,<4"
-hvplot = ">=0.11.2,<0.12"
-h5netcdf = ">=1.5.0,<2"
+hvplot = ">=0.11.3,<0.12"
+h5netcdf = ">=1.6.2,<2"
 ipykernel = ">=6.29.5,<7"
-matplotlib-base = ">=3.10.0,<4"
+matplotlib-base = ">=3.10.3,<4"
 netcdf4 = ">=1.7.2,<2"
-numpy = ">=2.1.3,<3"
-pint-xarray = ">=0.4,<0.5"
-pydap = ">=3.5.3,<4"
-python-graphviz = ">=0.20.3,<0.21"
+numpy = ">=2.2.6,<3"
+pint-xarray = ">=0.5.0,<0.6"
+pydap = ">=3.5.5,<4"
+python-graphviz = ">=0.21,<0.22"
 pooch = ">=1.8.2,<2"
-rioxarray = ">=0.18.2,<0.19"
-scipy = ">=1.15.2,<2"
-sphinx-codeautolink = ">=0.17.0,<0.18"
+rioxarray = ">=0.19.0,<0.20"
+scipy = ">=1.16.0,<2"
+sphinx-codeautolink = ">=0.17.4,<0.18"
 sphinxcontrib-mermaid = ">=1.0.0,<2"
-sphinx-notfound-page = ">=1.0.4,<2"
+sphinx-notfound-page = ">=1.1.0,<2"
 sphinxext-rediraffe = ">=0.2.7,<0.3"
-s3fs = ">=2025.2.0,<2026"
-xarray = ">=2025.1.2,<2026"
-zarr = ">=3.0.3,<4"
-flox = ">=0.10.0,<0.11"
+s3fs = ">=2025.5.1,<2026"
+xarray = ">=2025.6.1,<2026"
+zarr = ">=3.0.8,<4"
+flox = ">=0.10.4,<0.11"
 numbagg = ">=0.9.0,<0.10"

From afe84ecf25335a188e43155deb280017e8a4c808 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Mon, 30 Jun 2025 15:55:36 +0200
Subject: [PATCH 2/8] pixi tasks for cache management

---
 pyproject.toml | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/pyproject.toml b/pyproject.toml
index 39d59457..f5afd878 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -58,6 +58,10 @@ tutorial = "jupyter lab --LabApp.default_url='/lab/tree/overview/xarray-in-45-mi
 build = "jupyter-book build ./ --warningiserror --keep-going"
 precommit = "pre-commit run --all"
 checklinks = "jupyter-book build ./ --builder linkcheck"
+clear-cache = "jupyter-book clean ."
+# To clear a specific notebook pass ID number: jcache cache -p _build/.jupyter_cache remove 28
+# To clear all cached notebooks: jupyter-book clean . --all"
+list-cache = "jcache cache -p _build/.jupyter_cache list"
 
 [tool.pixi.dependencies]
 jupyter-book = ">=1.0.4.post1,<2"

From 7bdbe86f336545e04246edb596ab76996de4baf6 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Mon, 30 Jun 2025 15:56:03 +0200
Subject: [PATCH 3/8] fix dropdown note formatting

---
 intermediate/indexing/advanced-indexing.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/intermediate/indexing/advanced-indexing.ipynb b/intermediate/indexing/advanced-indexing.ipynb
index 8b2bbfce..9870db21 100644
--- a/intermediate/indexing/advanced-indexing.ipynb
+++ b/intermediate/indexing/advanced-indexing.ipynb
@@ -112,8 +112,8 @@
     "\n",
     ":::\n",
     "\n",
-    ":::{note} Orthogonal indexing with NumPy\n",
-    ":class: dropdown\n",
+    ":::{admonition} Orthogonal indexing with NumPy\n",
+    ":class: note dropdown\n",
     "\n",
     "While pointwise indexing is the default behavior in NumPy, you can achieve orthogonal indexing by using the [`np.ix_` function](https://numpy.org/doc/stable/reference/generated/numpy.ix_.html). This function constructs an open mesh from multiple arrays, allowing you to index along each dimension independently similar to Xarray indexing behavior. For example: \n",
     "\n",

From 10f3e7173e5c54cb5aeb5a2942501490910d0617 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Mon, 30 Jun 2025 16:12:59 +0200
Subject: [PATCH 4/8] update binder env

---
 .binder/environment.yml | 46 ++++++++++++++++++++---------------------
 1 file changed, 23 insertions(+), 23 deletions(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index fca9d0ae..1a81a355 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -3,40 +3,40 @@ channels:
   - conda-forge
   - nodefaults
 dependencies:
-  - jupyter-book >=1.0.3,<2
-  - pre-commit >=4.1.0,<5
+  - jupyter-book >=1.0.4.post1,<2
+  - pre-commit >=4.2.0,<5
   - dask-labextension >=7.0.0,<8
-  - jupyterlab >=4.3.5,<5
+  - jupyterlab >=4.4.4,<5
   - jupyter_bokeh >=4.0.5,<5
   - jupyterlab-myst >=2.4.2,<3
   - jupyter-resource-usage >=1.1.1,<2
   - cartopy >=0.24.0,<0.25
-  - cf_xarray >=0.10.0,<0.11
-  - dask >=2025.2.0,<2026
-  - datashader >=0.17.0,<0.18
-  - distributed >=2025.2.0,<2026
-  - gcsfs >=2025.2.0,<2026
+  - cf_xarray >=0.10.6,<0.11
+  - dask >=2025.5.1,<2026
+  - datashader >=0.18.1,<0.19
+  - distributed >=2025.5.1,<2026
+  - gcsfs >=2025.5.1,<2026
   - geoviews-core >=1.14.0,<2
   - gsw >=3.6.19,<4
-  - hvplot >=0.11.2,<0.12
-  - h5netcdf >=1.5.0,<2
+  - hvplot >=0.11.3,<0.12
+  - h5netcdf >=1.6.2,<2
   - ipykernel >=6.29.5,<7
-  - matplotlib-base >=3.10.0,<4
+  - matplotlib-base >=3.10.3,<4
   - netcdf4 >=1.7.2,<2
-  - numpy >=2.1.3,<3
-  - pint-xarray >=0.4,<0.5
-  - pydap >=3.5.3,<4
-  - python-graphviz >=0.20.3,<0.21
+  - numpy >=2.2.6,<3
+  - pint-xarray >=0.5.0,<0.6
+  - pydap >=3.5.5,<4
+  - python-graphviz >=0.21,<0.22
   - pooch >=1.8.2,<2
-  - rioxarray >=0.18.2,<0.19
-  - scipy >=1.15.2,<2
-  - sphinx-codeautolink >=0.17.0,<0.18
+  - rioxarray >=0.19.0,<0.20
+  - scipy >=1.16.0,<2
+  - sphinx-codeautolink >=0.17.4,<0.18
   - sphinxcontrib-mermaid >=1.0.0,<2
-  - sphinx-notfound-page >=1.0.4,<2
+  - sphinx-notfound-page >=1.1.0,<2
   - sphinxext-rediraffe >=0.2.7,<0.3
-  - s3fs >=2025.2.0,<2026
-  - xarray >=2025.1.2,<2026
-  - zarr >=3.0.3,<4
-  - flox >=0.10.0,<0.11
+  - s3fs >=2025.5.1,<2026
+  - xarray >=2025.6.1,<2026
+  - zarr >=3.0.8,<4
+  - flox >=0.10.4,<0.11
   - numbagg >=0.9.0,<0.10
   - python >=3.10

From b90a6054c73083e828e459387ce990b37ffa2715 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Tue, 1 Jul 2025 10:34:14 +0200
Subject: [PATCH 5/8] fix intersphinx config, use intersphinx to fix broken
 links in comp patterns

---
 _config.yml                                   | 18 ++--
 .../01-high-level-computation-patterns.ipynb  | 99 +++++++++----------
 2 files changed, 57 insertions(+), 60 deletions(-)

diff --git a/_config.yml b/_config.yml
index 0e1f89c8..6f9cb4b6 100644
--- a/_config.yml
+++ b/_config.yml
@@ -91,23 +91,23 @@ sphinx:
 
     intersphinx_mapping:
       xarray:
-        - https://docs.xarray.dev/en/latest/
+        - https://docs.xarray.dev/en/stable
         - null
       numpy:
         - https://numpy.org/doc/stable
         - null
+      pandas:
+        - https://pandas.pydata.org/docs
+        - null
       scipy:
         - https://docs.scipy.org/doc/scipy
         - null
-      matplotlib:
-        - https://matplotlib.org/stable/
+      python:
+        - https://docs.python.org/3
         - null
       dask:
-        - https://docs.dask.org/en/latest
+        - https://docs.dask.org/en/stable
         - null
-      python:
-        - https://docs.python.org/3/
-        - null
-      pandas:
-        - https://pandas.pydata.org/pandas-docs/stable
+      matplotlib:
+        - https://matplotlib.org/stable
         - null
diff --git a/intermediate/01-high-level-computation-patterns.ipynb b/intermediate/01-high-level-computation-patterns.ipynb
index 13c5f261..b12cbd01 100644
--- a/intermediate/01-high-level-computation-patterns.ipynb
+++ b/intermediate/01-high-level-computation-patterns.ipynb
@@ -79,16 +79,16 @@
     "\n",
     "Xarray provides methods for high-level analysis patterns:\n",
     "\n",
-    "1. `rolling` :\n",
-    "   [Operate on rolling or sliding (fixed length, overlapping) windows of your data e.g. running mean.](https://docs.xarray.dev/en/stable/user-guide/computation.html#rolling-window-operations)\n",
-    "1. `coarsen` :\n",
-    "   [Operate on blocks (fixed length) of your data (downsample).](https://docs.xarray.dev/en/stable/user-guide/computation.html#coarsen-large-arrays)\n",
-    "1. `groupby` :\n",
-    "   [Parse data into groups (using an exact value) and operate on each one (reduce data).](https://docs.xarray.dev/en/stable/groupby.html)\n",
-    "1. `groupby_bins`: [GroupBy after discretizing a numeric (non-exact, e.g. float) variable.](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.groupby_bins.html)\n",
-    "1. `resample` :\n",
-    "   [Groupby specialized for time axes. Either downsample or upsample your data.](https://docs.xarray.dev/en/stable/user-guide/time-series.html#resampling-and-grouped-operations)\n",
-    "1. `weighted`: [Weight your data before reducing.](https://docs.xarray.dev/en/stable/user-guide/computation.html#weighted-array-reductions) \n",
+    "1. [`rolling`](<inv:xarray#*rolling-window-operations>) :\n",
+    "   Operate on rolling or sliding (fixed length, overlapping) windows of your data e.g. running mean.\n",
+    "1. [`coarsen`](<inv:xarray#*coarsen-large-arrays>) :\n",
+    "   Operate on blocks (fixed length) of your data (downsample).\n",
+    "1. [`groupby`](<inv:xarray:py:method:#*.DataArray.groupby>) :\n",
+    "   Parse data into groups (using an exact value) and operate on each one (reduce data).\n",
+    "1. [`groupby_bins`](<inv:xarray:py:method:#*.DataArray.groupby_bins>): GroupBy after discretizing a numeric (non-exact, e.g. float) variable.\n",
+    "1. [`resample`](<inv:xarray#*resampling-and-grouped-operations>) :\n",
+    "   [Groupby specialized for time axes. Either downsample or upsample your data.]\n",
+    "1. [`weighted`](<inv:xarray#*weighted-array-reductions>): Weight your data before reducing.\n",
     "\n",
     "\n",
     "```{note}\n",
@@ -352,21 +352,21 @@
     "\n",
     "These are sequential windowed operations with a window of a fixed size.\n",
     "\n",
-    "1. `rolling` :\n",
-    "   [Operate on rolling or sliding (fixed length, overlapping) windows of your data e.g. running mean.](https://docs.xarray.dev/en/stable/user-guide/computation.html#rolling-window-operations)\n",
-    "1. `coarsen` :\n",
-    "   [Operate on blocks (fixed length) of your data (downsample).](https://docs.xarray.dev/en/stable/user-guide/computation.html#coarsen-large-arrays)\n",
+    "1. [`rolling`](<inv:xarray#*rolling-window-operations>) :\n",
+    "   Operate on rolling or sliding (fixed length, overlapping) windows of your data e.g. running mean.\n",
+    "1. [`coarsen`](<inv:xarray#*coarsen-large-arrays>) :\n",
+    "   Operate on blocks (fixed length) of your data (downsample).\n",
     "\n",
     "\n",
     "### Label space\n",
     "\n",
     "These are windowed operations with irregular windows based on your data. Members of a single group may be non-sequential and scattered through the dataset.\n",
     "\n",
-    "1. `groupby` :\n",
-    "   [Parse data into groups (using an exact value) and operate on each one (reduce data).](https://docs.xarray.dev/en/stable/groupby.html)\n",
-    "1. `groupby_bins`: [GroupBy after discretizing a numeric (non-exact, e.g. float) variable.](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.groupby_bins.html)\n",
-    "1. `resample` :\n",
-    "   [Groupby specialized for time axes. Either downsample or upsample your data.](https://docs.xarray.dev/en/stable/user-guide/time-series.html#resampling-and-grouped-operations)\n"
+    "1. [`groupby`](<inv:xarray:py:method:#*.DataArray.groupby>) :\n",
+    "   Parse data into groups (using an exact value) and operate on each one (reduce data).\n",
+    "1. [`groupby_bins`](<inv:xarray:py:method:#*.DataArray.groupby_bins> ): GroupBy after discretizing a numeric (non-exact, e.g. float) variable.\n",
+    "1. [`resample`](<inv:xarray#*resampling-and-grouped-operations>) :\n",
+    "   Groupby specialized for time axes. Either downsample or upsample your data.\n"
    ]
   },
   {
@@ -385,7 +385,7 @@
     "\n",
     "## Index space: windows of fixed width\n",
     "\n",
-    "### Sliding windows of fixed length: [`rolling`](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.rolling.html)\n",
+    "### Sliding windows of fixed length: [`rolling`](<inv:xarray:py:method:#*.DataArray.rolling>)\n",
     "\n",
     "- Supports common reductions : `sum`, `mean`, `count`, `std`, `var` etc.\n",
     "- Returns object of same shape as input\n",
@@ -435,11 +435,11 @@
    "source": [
     "#### Apply an existing numpy-only function with `reduce`\n",
     "\n",
-    "In some cases, we may want to apply a sliding window function using rolling that is not built in to Xarray. In these cases we can still leverage the sliding windows of rolling and apply our own function with [`reduce`](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.reduce.html).\n",
+    "In some cases, we may want to apply a sliding window function using rolling that is not built in to Xarray. In these cases we can still leverage the sliding windows of rolling and apply our own function with [`reduce`](<inv:xarray:py:method:#*.DataArrayRolling.reduce>).\n",
     "\n",
     "The `reduce` method on Xarray objects (e.g. DataArray, Dataset) expects a function that can *receive and return plain arrays (e.g. numpy)*, as in each of the \"windows\" provided by the rolling iterator. This is in contrast to the `map` method on DataArray and Dataset objects, which expects a function that can receive and return Xarray objects.\n",
     "\n",
-    "Here's an example function: [`np.ptp`](https://numpy.org/doc/stable/reference/generated/numpy.ptp.html).\n"
+    "Here's an example function: [`np.ptp`](<inv:numpy:py:function:#*numpy.ptp>).\n"
    ]
   },
   {
@@ -461,7 +461,7 @@
     ":class: tip\n",
     "\n",
     "Calculate the rolling mean in 5 point bins along both latitude and longitude using\n",
-    "[`rolling(...).reduce`](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.reduce.html)\n",
+    "[`rolling(...).reduce`](<inv:xarray:py:method:#*.DataArrayRolling.reduce>)\n",
     "\n",
     ":::{admonition} Solution\n",
     ":class: dropdown\n",
@@ -486,7 +486,7 @@
    "source": [
     "#### View the `rolling` operation as a Xarray object with `construct`\n",
     "\n",
-    "In the above examples, we plotted the outputs of our rolling operations. Xarray makes it easy to integrate the outputs from `rolling` directly into the DataArray using the [`construct`](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.construct.html#xarray.core.rolling.DataArrayRolling.construct) method."
+    "In the above examples, we plotted the outputs of our rolling operations. Xarray makes it easy to integrate the outputs from `rolling` directly into the DataArray using the <inv:xarray:py:method:#*.DataArrayRolling.construct> method.\n"
    ]
   },
   {
@@ -588,7 +588,7 @@
     "\n",
     "### Block windows of fixed length: `coarsen`\n",
     "\n",
-    "For non-overlapping windows or \"blocks\" use [`coarsen`](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.coarsen.html). The syntax is very similar to `rolling`. You will need to specify how you want Xarray to handle the `boundary` if the length of the dimension is not a multiple of the block size.\n",
+    "For non-overlapping windows or \"blocks\" use [`coarsen`](<inv:xarray:py:method:#*.DataArray.coarsen>). The syntax is very similar to `rolling`. You will need to specify how you want Xarray to handle the `boundary` if the length of the dimension is not a multiple of the block size.\n",
     "\n",
     "\n",
     "- Supports common reductions : `sum`, `mean`, `count`, `std`, `var` etc.\n",
@@ -759,7 +759,7 @@
    "metadata": {},
    "source": [
     "Note that `coarsen` pads with NaNs. For more control over padding, use\n",
-    "[DataArray.pad](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.pad.html) explicitly."
+    "[DataArray.pad](<inv:xarray:py:method:#*.DataArray.pad>) explicitly."
    ]
   },
   {
@@ -910,8 +910,7 @@
     "1. *Combine* : concatenate results from apply step along a new \"group\" dimension\n",
     "\n",
     "illustrated in this neat schematic from [Project Pythia](https://foundations.projectpythia.org/core/xarray/computation-masking.html#groupby-split-apply-combine):\n",
-    "<img src=\"https://foundations.projectpythia.org/_images/xarray-split-apply-combine.jpeg\" width=30%>\n",
-    "\n",
+    "<img src=\"https://raw.githubusercontent.com/ProjectPythia/pythia-foundations/refs/heads/main/core/xarray/images/xarray-split-apply-combine.jpeg\" width=30%>\n",
     "\n",
     "But really there is a \"hidden\" first step: *identifying* groups (also called \"factorization\" or sometimes \"binning\"). Usually this is the hard part.\n",
     "\n",
@@ -1036,23 +1035,22 @@
     "\n",
     "If the automatic group detection doesn't work for your problem then these functions are useful for constructing specific \"group labels\" in many cases\n",
     "\n",
-    "1. [numpy.digitize](https://numpy.org/doc/stable/reference/generated/numpy.digitize.html)\n",
+    "1. [numpy.digitize](<inv:numpy:py:function:#*numpy.digitize>)\n",
     "   for binning\n",
-    "1. [numpy.searchsorted](https://numpy.org/doc/stable/reference/generated/numpy.searchsorted.html)\n",
+    "1. [numpy.searchsorted](<inv:numpy:py:function:#*numpy.searchsorted>)\n",
     "   supports many other data types\n",
-    "1. [pandas.factorize](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.factorize.html)\n",
+    "1. [pandas.factorize](<inv:pandas:py:function:#*pandas.factorize>)\n",
     "   supports characters, strings etc.\n",
-    "1. [pandas.cut](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.cut.html)\n",
+    "1. [pandas.cut](<inv:pandas:py:function:#*pandas.cut>)\n",
     "   for binning\n",
-    "1. [\"Datetime components\"](https://docs.xarray.dev/en/stable/user-guide/time-series.html#datetime-components)  of Xarray DataArrays\n",
-    "1. [DataArray.isin](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.isin.html)\n",
-    "1. [scipy.ndimage.label](https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.label.html)\n",
+    "1. [\"Datetime components\"](<inv:xarray#*indexing-using-datetime-components>) of Xarray DataArrays\n",
+    "1. [DataArray.isin](<inv:xarray:py:method:#*.DataArray.isin>)\n",
+    "1. [scipy.ndimage.label](<inv:scipy:py:function:#*scipy.ndimage.label>)\n",
     "1. Do you know of any more? (Send in a pull request to update this list!)\n",
     "\n",
     "\n",
-    "\n",
     "```{tip}\n",
-    "Xarray uses [`pandas.factorize`](https://pandas.pydata.org/docs/reference/api/pandas.factorize.html) for `groupby` and [`pandas.cut`](https://pandas.pydata.org/docs/reference/api/pandas.cut.html) for `groupby_bins`.\n",
+    "Xarray uses `pandas.factorize` for `groupby` and `pandas.cut` for `groupby_bins`.\n",
     "```"
    ]
   },
@@ -1066,10 +1064,9 @@
     "tags": []
    },
    "source": [
-    "#### [\"Datetime components\"](https://docs.xarray.dev/en/stable/user-guide/time-series.html#datetime-components) for creating groups\n",
+    "#### \"Datetime components\" for creating groups\n",
     "\n",
-    "See a full list\n",
-    "[here](https://docs.xarray.dev/en/stable/generated/xarray.core.accessor_dt.DatetimeAccessor.html?highlight=DatetimeAccessor)\n",
+    "See a full list [here](<inv:xarray:py:class#*DatetimeAccessor>)\n",
     "\n",
     "These can be accessed in a few different ways as illustrated below.\n"
    ]
@@ -1229,7 +1226,7 @@
    "source": [
     "##### `floor`, `ceil` and `round` on time\n",
     "\n",
-    "Additional functionality in the [datetime accessor](https://docs.xarray.dev/en/stable/generated/xarray.core.accessor_dt.DatetimeAccessor.html) allows us to effectively \"resample\" our time data to remove roundoff errors in timestamps.\n"
+    "Additional functionality in the [datetime accessor](<inv:xarray:py:class#*DatetimeAccessor>) allows us to effectively \"resample\" our time data to remove roundoff errors in timestamps.\n"
    ]
   },
   {
@@ -1449,16 +1446,16 @@
     "\n",
     "Xarray provides methods for high-level analysis patterns:\n",
     "\n",
-    "1. `rolling` :\n",
-    "   [Operate on rolling (fixed length, overlapping) windows of your data e.g. running mean.](https://docs.xarray.dev/en/stable/user-guide/computation.html#rolling-window-operations)\n",
-    "1. `coarsen` :\n",
-    "   [Operate on blocks (fixed length) of your data (downsample).](https://docs.xarray.dev/en/stable/user-guide/computation.html#coarsen-large-arrays)\n",
-    "1. `groupby` :\n",
-    "   [Parse data into groups (using an exact value) and operate on each one (reduce data).](https://docs.xarray.dev/en/stable/groupby.html)\n",
-    "1. `groupby_bins`: [GroupBy after discretizing a numeric (non-exact, e.g. float) variable.](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.groupby_bins.html)\n",
-    "1. `resample` :\n",
-    "   [Groupby specialized for time axes. Either downsample or upsample your data.](https://docs.xarray.dev/en/stable/user-guide/time-series.html#resampling-and-grouped-operations)\n",
-    "1. `weighted`: [Weight your data before reducing.](https://docs.xarray.dev/en/stable/user-guide/computation.html#weighted-array-reductions)\n",
+    "1. [`rolling`](<inv:xarray#*rolling-window-operations>) :\n",
+    "   Operate on rolling or sliding (fixed length, overlapping) windows of your data e.g. running mean.\n",
+    "1. [`coarsen`](<inv:xarray#*coarsen-large-arrays>) :\n",
+    "   Operate on blocks (fixed length) of your data (downsample).\n",
+    "1. [`groupby`](<inv:xarray:py:method:#*.DataArray.groupby>) :\n",
+    "   Parse data into groups (using an exact value) and operate on each one (reduce data).\n",
+    "1. [`groupby_bins`](<inv:xarray:py:method:#*.DataArray.groupby_bins>): GroupBy after discretizing a numeric (non-exact, e.g. float) variable.\n",
+    "1. [`resample`](<inv:xarray#*resampling-and-grouped-operations>) :\n",
+    "   [Groupby specialized for time axes. Either downsample or upsample your data.]\n",
+    "1. [`weighted`](<inv:xarray#*weighted-array-reductions>): Weight your data before reducing.\n",
     "\n",
     "Xarray also provides a consistent interface to make using those patterns easy:\n",
     "\n",

From 432066d2ab07a41691acb95374720ff37122083e Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Tue, 1 Jul 2025 10:35:20 +0200
Subject: [PATCH 6/8] fix more links

---
 intermediate/xarray_ecosystem.ipynb | 2 +-
 intro.md                            | 7 ++-----
 2 files changed, 3 insertions(+), 6 deletions(-)

diff --git a/intermediate/xarray_ecosystem.ipynb b/intermediate/xarray_ecosystem.ipynb
index c5d0d6c9..9bff23f4 100644
--- a/intermediate/xarray_ecosystem.ipynb
+++ b/intermediate/xarray_ecosystem.ipynb
@@ -662,7 +662,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There are many other libraries in the wider xarray ecosystem. For a list of a few packages we particularly like for geoscience work [see here](https://tutorial.xarray.dev/overview/xarray-in-45-min.html#other-cool-packages), and for a [more exhaustive list see here](https://docs.xarray.dev/en/stable/ecosystem.html)."
+    "There are many other libraries in the wider xarray ecosystem. For a list of a few packages we particularly like for geoscience work [see here](https://tutorial.xarray.dev/overview/xarray-in-45-min.html#other-cool-packages), and for a [more exhaustive list see here](https://docs.xarray.dev/en/stable/user-guide/ecosystem.html)."
    ]
   }
  ],
diff --git a/intro.md b/intro.md
index 2f0d5cb2..3ca09db0 100644
--- a/intro.md
+++ b/intro.md
@@ -11,7 +11,6 @@
 ```{grid-item-card}
 :link: overview/get-started
 :link-type: doc
-:class-header: bg-light
 Get started! 🚀
 ^^^
 Learn how to navigate the tutorials and run code examples interactively
@@ -19,15 +18,13 @@ Learn how to navigate the tutorials and run code examples interactively
 
 ```{grid-item-card}
 :link: https://www.youtube.com/channel/UCBlxVSA6xQXeb-i4GgTlO7g
-:class-header: bg-light
 Watch videos 🎬
 ^^^
 Live walk-throughs of this material and more on Xarray's YouTube Channel
 ```
 
 ```{grid-item-card}
-:link: https://docs.xarray.dev/en/latest/help-diagram.html
-:class-header: bg-light
+:link: https://docs.xarray.dev/en/stable/get-help/help-diagram.html#help-flowchart
 Get involved 🙋
 ^^^
 Ask questions and participate in the Xarray community!
@@ -37,7 +34,7 @@ Ask questions and participate in the Xarray community!
 
 ## Citation
 
-✏️ To cite this material, you can use the recommended [Xarray citation](https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#how-should-i-cite-xarray): {cite:p}`hoyerhamman2017`, {cite:p}`xarray_v202230`.
+✏️ To cite this material, you can use the recommended [Xarray citation](https://docs.xarray.dev/en/stable/get-help/faq.html#how-should-i-cite-xarray): {cite:p}`hoyerhamman2017`, {cite:p}`xarray_v202230`.
 
 ## Acknowledgements
 

From a1cee323805206c17696066e6916be0c2735a6d1 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Tue, 1 Jul 2025 10:40:01 +0200
Subject: [PATCH 7/8] reset cache to update intersphinx

---
 .github/workflows/main.yaml         | 2 +-
 .github/workflows/pull_request.yaml | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index c9cc918f..5b332031 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -30,7 +30,7 @@ jobs:
         with:
           path: _build
           # NOTE: change key to "jupyterbook-DATE" to force rebuilding cache
-          key: jupyterbook-20250630
+          key: jupyterbook-20250701
 
       - uses: ./.github/actions/setup-pixi
 
diff --git a/.github/workflows/pull_request.yaml b/.github/workflows/pull_request.yaml
index 3eecff95..e0085fcc 100644
--- a/.github/workflows/pull_request.yaml
+++ b/.github/workflows/pull_request.yaml
@@ -24,7 +24,7 @@ jobs:
         with:
           path: _build
           # NOTE: change key to "jupyterbook-DATE" to force rebuilding cache
-          key: jupyterbook-20250630
+          key: jupyterbook-20250701
 
       - uses: ./.github/actions/setup-pixi
 

From 37ab955a67fad4a088e880f9083dd80a3a966ae0 Mon Sep 17 00:00:00 2001
From: Scott Henderson <3924836+scottyhq@users.noreply.github.com>
Date: Tue, 1 Jul 2025 10:59:10 +0200
Subject: [PATCH 8/8] fix more links

---
 fundamentals/03.3_windowed.ipynb    |  2 +-
 intermediate/xarray_ecosystem.ipynb |  2 +-
 overview/xarray-in-45-min.ipynb     | 19 +++++++++++++------
 3 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/fundamentals/03.3_windowed.ipynb b/fundamentals/03.3_windowed.ipynb
index 4454d50e..05889fc2 100644
--- a/fundamentals/03.3_windowed.ipynb
+++ b/fundamentals/03.3_windowed.ipynb
@@ -151,7 +151,7 @@
    "source": [
     "### Custom reductions\n",
     "\n",
-    "While common reductions are implemented by default, sometimes it is useful to apply our own windowed operations. For these uses, Xarray provides the `construct` methods for [DataArray.rolling](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.construct.html) and [Dataset.rolling](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DatasetRolling.construct.html).\n",
+    "While common reductions are implemented by default, sometimes it is useful to apply our own windowed operations. For these uses, Xarray provides the `construct` methods for [DataArray.rolling](https://docs.xarray.dev/en/stable/generated/xarray.computation.rolling.DataArrayRolling.construct.html#xarray.computation.rolling.DataArrayRolling.construct) and [Dataset.rolling](https://docs.xarray.dev/en/stable/generated/xarray.computation.rolling.DatasetRolling.construct.html#xarray.computation.rolling.DatasetRolling.construct).\n",
     "\n",
     "For rolling over a dimension `time` with a window size `N`, `construct` adds a new dimension (with user-provided name) of size `N`. \n",
     "\n",
diff --git a/intermediate/xarray_ecosystem.ipynb b/intermediate/xarray_ecosystem.ipynb
index 9bff23f4..0fc6a73f 100644
--- a/intermediate/xarray_ecosystem.ipynb
+++ b/intermediate/xarray_ecosystem.ipynb
@@ -252,7 +252,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Xarray objects can store [arbitrary metadata](https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#what-is-your-approach-to-metadata) in the form of a `dict` attached to each `DataArray` and `Dataset` object, accessible via the `.attrs` property."
+    "Xarray objects can store [arbitrary metadata](https://docs.xarray.dev/en/stable/get-help/faq.html#what-is-your-approach-to-metadata) in the form of a `dict` attached to each `DataArray` and `Dataset` object, accessible via the `.attrs` property."
    ]
   },
   {
diff --git a/overview/xarray-in-45-min.ipynb b/overview/xarray-in-45-min.ipynb
index d771a368..658be41b 100644
--- a/overview/xarray-in-45-min.ipynb
+++ b/overview/xarray-in-45-min.ipynb
@@ -971,7 +971,7 @@
     "\n",
     "Xarray ties in to the larger scientific python ecosystem and in turn many\n",
     "packages build on top of xarray. A long list of such packages is here:\n",
-    "<https://docs.xarray.dev/en/stable/related-projects.html>.\n",
+    "<https://docs.xarray.dev/en/stable/user-guide/ecosystem.html>.\n",
     "\n",
     "Now we will demonstrate some cool features.\n"
    ]
@@ -1104,8 +1104,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import hvplot.xarray\n",
-    "\n",
+    "import hvplot.xarray"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "ds.air.hvplot(groupby=\"time\", clim=(270, 300), widget_location='bottom')"
    ]
   },
@@ -1202,7 +1209,7 @@
     "- [MetPy](https://unidata.github.io/MetPy/latest/index.html) : tools for working\n",
     "  with weather data\n",
     "\n",
-    "Check the Xarray [Ecosystem](https://docs.xarray.dev/en/stable/ecosystem.html) page and [this tutorial](https://tutorial.xarray.dev/intermediate/xarray_ecosystem.html) for even more packages and demonstrations."
+    "Check the Xarray [Ecosystem](https://docs.xarray.dev/en/stable/user-guide/ecosystem.html) page and [this tutorial](https://tutorial.xarray.dev/intermediate/xarray_ecosystem.html) for even more packages and demonstrations."
    ]
   },
   {
@@ -1213,9 +1220,9 @@
     "\n",
     "1. Read the [tutorial](https://tutorial.xarray.dev) material and [user guide](https://docs.xarray.dev/en/stable/user-guide/index.html)\n",
     "1. See the description of [common terms](https://docs.xarray.dev/en/stable/terminology.html) used in the xarray documentation: \n",
-    "1. Answers to common questions on \"how to do X\" with Xarray are [here](https://docs.xarray.dev/en/stable/howdoi.html)\n",
+    "1. Answers to common questions on \"how to do X\" with Xarray are [here](https://docs.xarray.dev/en/stable/get-help/howdoi.html)\n",
     "1. Ryan Abernathey has a book on data analysis with a [chapter on Xarray](https://earth-env-data-science.github.io/lectures/xarray/xarray_intro.html)\n",
-    "1. [Project Pythia](https://projectpythia.org/) has [foundational](https://foundations.projectpythia.org/landing-page.html) and more [advanced](https://cookbooks.projectpythia.org/) material on Xarray. Pythia also aggregates other [Python learning resources](https://projectpythia.org/resource-gallery.html).\n",
+    "1. [Project Pythia](https://projectpythia.org/) has [foundational](https://foundations.projectpythia.org) and more [advanced](https://cookbooks.projectpythia.org/) material on Xarray. Pythia also aggregates other [Python learning resources](https://projectpythia.org/resource-gallery).\n",
     "1. The [Xarray Github Discussions](https://github.com/pydata/xarray/discussions) and [Pangeo Discourse](https://discourse.pangeo.io/) are good places to ask questions.\n",
     "1. Tell your friends! Tweet!\n",
     "\n",