index.ipynb updates for SciPy 2023 (#197)

Closes #170 

* update

* a few updates

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* edits

* small edits

* typo

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: dcherian <[email protected]>

workshops/scipy2023/README.md

@@ -20,12 +20,16 @@ For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub at [sci
 
 You can follow [this participants' guide to register and sign-in to Nebari](https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit), and:
 
-- Use this link to clone the tutorial materials:
+- Open a Terminal
+
+- Clone the tutorial materials:
 
 ```
-https://github.com/xarray-contrib/xarray-tutorial.git
+git clone https://github.com/xarray-contrib/xarray-tutorial.git
 ```
 
+- Navigate to `xarray-tutorial/workshops/scipy2023/index.ipynb`
+
 - Select `global-global-xarray` environment for the notebooks when prompted.
 
 ### Running Locally
@@ -59,11 +63,7 @@ Once your codespace is launched, the following happens:
 ```
 
 ```{dropdown} Indexing
--{doc}`../../fundamentals/02.1_indexing_Basic`
-
--{doc}`../../intermediate/indexing/boolean-masking-indexing`
-
--{doc}`../../intermediate/indexing/advanced-indexing`
+{doc}`../../intermediate/indexing/advanced-indexing`
 ```
 
 ```{dropdown} Computational Patterns

workshops/scipy2023/index.ipynb

@@ -5,41 +5,41 @@
    "id": "6bad0788-4bd2-49bb-818a-4eda1e265cf1",
    "metadata": {},
    "source": [
-    "<img src=\"../../images/scipylogo.png\" align=\"center\" width=\"90%\">\n",
+    "<img src=\"../../images/scipylogo2023.png\" align=\"right\" width=\"20%\">\n",
     "\n",
-    "# Welcome to the Xarray SciPy 2022 Tutorial! \n",
+    "\n",
+    "# Welcome to the Xarray SciPy 2023 Tutorial! \n",
     "\n",
     "**Xarray**: *Friendly, Interactive, and Scalable Scientific Data Analysis*\n",
     "\n",
-    "Learning goals:\n",
-    "- understand the Xarray data model\n",
-    "- effectively use Xarray’s multidimensional labeled indexing\n",
-    "- utilize Xarray’s powerful built-in computational methods\n",
-    "- learn about the ecosystem of software extending Xarray\n",
     "\n",
-    "This *4-hour* workshop will explore content from https://tutorial.xarray.dev, which contains a comprehensive collection of hands-on tutorial Jupyter Notebooks. We won't cover it all today, but instead will review a curated set of examples that will prepare you for increasingly complex real-world data analysis tasks!\n",
+    "This *4-hour* workshop will explore content from [the Xarray tutorial](https://tutorial.xarray.dev), which contains a comprehensive collection of hands-on tutorial Jupyter Notebooks. We won't cover it all today, but instead will review a curated set of examples that will prepare you for increasingly complex real-world data analysis tasks!\n",
     "\n",
     "\n",
     "## Schedule \n",
     "*Times in Central Daylight (Austin, TX)\n",
     "\n",
+    "Use the links to navigate to the right notebooks.\n",
+    "\n",
+    "**Remember to select `global-global-xarray environment` for the notebooks when prompted.**\n",
+    "\n",
     "| Topic | Time | Notebook Links | \n",
     "| :- | - | - | \n",
-    "| Introduction | 1:30 (20 min) | [getting started](../../overview/get-started.md) | \n",
-    "| Data Structures | 1:50 (30 min) | [datastructures](../../fundamentals/01_datastructures.ipynb) <br> [input/output](../../fundamentals/01.1_io.ipynb) | \n",
-    "| *Break*  \n",
-    "| Labeled Data | 2:30 (20 min) | [working_with_labeled_data](../../fundamentals/02.1_working_with_labeled_data.ipynb) | \n",
-    "| Visualizations | 2:50 (30 min) | [basic_plotting](../../fundamentals/04.1_basic_plotting.ipynb) <br> [facet plots](../../fundamentals/04.2_faceting.ipynb) | \n",
-    "| *Break*  | \n",
-    "| Computation | 3:30 (50 min) | [computation with xarray](../../fundamentals/03.1_computation_with_xarray.ipynb) <br> [aligning data objects](../../fundamentals/02.3_aligning_data_objects.ipynb) <br> [groupby with xarray](../../fundamentals/03.2_groupby_with_xarray.ipynb) |  \n",
-    "| *Break*  | \n",
-    "| Xarray ecosystem | 4:30 (30 min) | [xarray ecosystem](../../intermediate/xarray_ecosystem.ipynb) | \n",
-    "| Scaling Xarray | 5:00 (20 min) |  | \n",
+    "| Introduction and Setup | 1:30 (20 min) | --- | \n",
+    "| Indexing | 1:50 (30 min) | [Advanced and Vectorized Indexing](../../intermediate/indexing/advanced-indexing.ipynb) | \n",
+    "| *10 minute Break*  \n",
+    "| Computational Patterns | 2:30 (50 min) | [Computation Patterns](../../intermediate/01-high-level-computation-patterns.ipynb) |  \n",
+    "| *10 minute Break*  | \n",
+    "| Wrapping other arrays | 3:30 (50 min) | [Xarray and Dask](../../intermediate/xarray_and_dask.ipynb) |  \n",
+    "| *10 minute Break*  | \n",
+    "| Wrapping custom computation (apply_ufunc) | 4:30 (30 min) <br> <br> <br> 5:00 (30 min) | [A gentle introduction](../../advanced/apply_ufunc/simple_numpy_apply_ufunc.ipynb) <br> [Core dimensions](../../advanced/apply_ufunc/core-dimensions.ipynb) <br> [Handling complex output](../../advanced/apply_ufunc/complex-output-numpy.ipynb)  <br> Explore the rest of the material |\n",
     "| | **End 5:30** | |\n",
     "\n",
-    "**Thanks for attending!**\n",
     "\n",
-    "Please continue to explore the subfolders in the JupyterLab File Browser for additional tutorial notebooks to run, or read the rendered notebooks at https://tutorial.xarray.dev"
+    "\n",
+    "## Thanks for attending!\n",
+    "\n",
+    "Please continue to explore the subfolders in the JupyterLab File Browser for additional tutorial notebooks to run, or read the rendered notebooks at [https://tutorial.xarray.dev](https://tutorial.xarray.dev)"
    ]
   }
  ],