Cleaner scipy schedule

_toc.yml

@@ -32,6 +32,7 @@ parts:
     chapters:
       - file: intermediate/01-high-level-computation-patterns
       - file: intermediate/xarray_and_dask
+      - file: intermediate/xarray_ecosystem
       - file: intermediate/hvplot
 
   - caption: Advanced
@@ -44,6 +45,7 @@ parts:
 
   - caption: Workshops
     chapters:
+      - file: workshops/scipy2022/README
       - file: workshops/oceanhackweek2020/README
         sections:
           - url: https://tutorial.xarray.dev/overview/xarray-in-45-min
@@ -57,27 +59,6 @@ parts:
           - file: workshops/online-tutorial-series/01_xarray_fundamentals
           - file: workshops/online-tutorial-series/02_indexing
           - file: workshops/online-tutorial-series/03_computation
-      - file: workshops/scipy2022/README
-        sections:
-          - url: https://tutorial.xarray.dev/fundamentals/01_datastructures_and_io
-            title: Data Structures
-          - file: workshops/scipy2022/cleaning_real_data
-          - url: https://tutorial.xarray.dev/fundamentals/02.1_working_with_labeled_data
-            title: Labeled Data
-          - url: https://tutorial.xarray.dev/fundamentals/02.2_manipulating_dimensions
-            title: Manipulating Dimensions
-          - url: https://tutorial.xarray.dev/fundamentals/02.3_aligning_data_objects
-            title: Data Alignment
-          - url: https://tutorial.xarray.dev/fundamentals/03.1_computation_with_xarray
-            title: Computation
-          - url: https://tutorial.xarray.dev/fundamentals/03.2_groupby_with_xarray
-            title: Groupby
-          - url: https://tutorial.xarray.dev/fundamentals/04.0_plotting.html
-            title: Plotting and Visualization
-          - file: workshops/scipy2022/xarray_ecosystem
-          - url: https://tutorial.xarray.dev/fundamentals/06_xarray_and_dask
-            title: Xarray and Dask
-
   - caption: Reference
     chapters:
       - file: reference/resources

workshops/scipy2022/xarray_ecosystem.ipynb → intermediate/xarray_ecosystem.ipynb

@@ -6,17 +6,31 @@
    "source": [
     "<img src=\"http://xarray.pydata.org/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
     "\n",
-    "# Xarray Ecosystem\n",
+    "# A Tour of the Xarray Ecosystem\n",
     "\n",
     "Xarray is easily extensible.\n",
     "This means it is easy to add onto to build custom packages that tackle particular computational problems.\n",
     "Here we introduce two popular and widely used extensions that are installable as their own packages (via conda and pip).\n",
     "\n",
     "- [rioxarray](https://corteva.github.io/rioxarray/stable/index.html), for working with geospatial raster data using rasterio\n",
-    "- [pint-xarray](https://pint-xarray.readthedocs.io/en/latest/), for unit-aware computations using pint.\n",
+    "- [pint-xarray](https://pint-xarray.readthedocs.io/en/latest/), for unit-aware computations using pint."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## The accessor interface\n",
     "\n",
+    "- Describe what an accessor is before introducting `.rio`, `.pint` etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "## Rioxarray\n",
-    "more details about rioxarray here\n"
+    "more details about rioxarray here"
    ]
   },
   {

workshops/scipy2022/README.md

@@ -1,13 +1,15 @@
-# SciPy 2022 Xarray Tutorial
+# SciPy 2022
 
 ## Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis
 
-To be presented 11 July 2022 by:
+Organized by:
 
 - Scott Henderson (Univ. Washington)
+- Deepak Cherian (National Center for Atmospheric Research)
 - Jessica Scheick (Univ. New Hampshire)
-- Tom Nicholas (Lamont-Doherty)
 - Emma Marshall (Univ. Utah)
+- Anderson Banihirwe (CarbonPlan)
+- Tom Nicholas (Lamont-Doherty Earth Observatory)
 
 This four hour workshop covers fundamental Xarray concepts with increasingly complex real-world data analysis tasks.
 
@@ -17,14 +19,44 @@ Will be available after the event
 ## Schedule
 
 _These are the rough timings for the tutorial_:
-| Topic | Time (min) |
-| - | - |
-| Introduction | 20 |
-| Data structures | 30 |
-| Break | 10 |
-| Labeled data | 30 |
-| Computation | 60 |
-| Break | 10 |
-| Plotting and visualization | 30 |
-| Xarray ecosystem | 30 |
-| Oh the places we'll go | 30 |
+
+```{dropdown} Introduction (20 min)
+Logistics;
+```
+
+```{dropdown} Introduction to Xarray (30 min)
+{doc}`../../fundamentals/01_datastructures`
+
+{doc}`../../fundamentals/01.1_io`
+```
+
+**Break (10 min)**
+
+```{dropdown} Working with Labeled Data (30 min)
+{doc}`../../fundamentals/02.1_working_with_labeled_data`
+
+{doc}`../../fundamentals/04.1_basic_plotting`
+```
+
+```{dropdown} Computation (60 min)
+{doc}`../../fundamentals/03.1_computation_with_xarray`
+
+{doc}`../../fundamentals/02.3_aligning_data_objects`
+
+{doc}`../../fundamentals/03.2_groupby_with_xarray`
+```
+
+**Break**
+
+```{dropdown} Plotting and Visualization (30 min)
+
+{doc}`../../fundamentals/04.2_faceting`
+
+{doc}`../../fundamentals/04.3_geographic_plotting`
+```
+
+```{dropdown} Oh the places we'll go - (60 min)
+{doc}`../../intermediate/xarray_ecosystem`
+
+Demo
+```