Post-SciPy update (#210)

* Post-SciPy update

* remove scipy nebari information

README.md

@@ -58,4 +58,4 @@ Thanks to our contributors so far!
 
 ## Acknowledgements
 
-This website is the result of many contributions from the Xarray community! We're very grateful for everyone's volunteered effort as well as [sponsored development](https://xarray.dev/#sponsors). Funding for SciPy 2022, SciPy 2023 tutorial materialdevelopment specifically was supported by NASA's Open Source Tools, Frameworks, and Libraries Program (award 80NSSC22K0345).
+This website is the result of many contributions from the Xarray community! We're very grateful for everyone's volunteered effort as well as [sponsored development](https://xarray.dev/#sponsors). Funding for SciPy 2022, SciPy 2023 tutorial material development specifically was supported by NASA's Open Source Tools, Frameworks, and Libraries Program (award 80NSSC22K0345).

_config.yml

@@ -8,7 +8,7 @@ only_build_toc_files: true
 # See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
 html:
   # NOTE: this announcement shows up on all pages
-  announcement: 'ℹ️ SciPy Tutorial Attendees. <a href="https://tutorial.xarray.dev/workshops/scipy2023/README.html">Click here </a>.'
+  #announcement: 'ℹ️ SciPy Tutorial Attendees. <a href="https://tutorial.xarray.dev/workshops/scipy2023/README.html">Click here </a>.'
   home_page_in_navbar: false
   use_edit_page_button: true
   use_issues_button: true

_toc.yml

@@ -9,6 +9,7 @@ parts:
       - file: overview/learning-paths.md
         sections:
           - file: overview/fundamental-path/README.md
+          - file: overview/intermediate-path/README.md
 
   - caption: Fundamentals
     chapters:

overview/fundamental-path/README.md

@@ -1,4 +1,6 @@
-# Fundamentals Learning Path
+(fundamental-path)=
+
+# Fundamental Path
 
 This syllabus comes from Scipy 2022 tutorial workshop.
 This path covers fundamental Xarray concepts with

overview/intermediate-path/README.md

@@ -0,0 +1,42 @@
+# Intermediate Path
+
+This learning path was presented at SciPy 2023. It covers intermediate
+and more advanced topics and is a good follow-on from the [Fundamental Path](fundamental-path)
+
+The tutorial was organized by:
+
+- Deepak Cherian (National Center for Atmospheric Research)
+- Scott Henderson (Univ. Washington)
+- Jessica Scheick (Univ. New Hampshire)
+- Negin Sobhani (National Center for Atmospheric Research)
+- Tom Nicholas (Lamont-Doherty Earth Observatory)
+- Anderson Banihirwe (CarbonPlan)
+- Don Setiawan (Univ. Washington)
+
+## Outline
+
+```{dropdown} Introduction
+{doc}`../../overview/get-started`
+```
+
+```{dropdown} Indexing
+{doc}`../../intermediate/indexing/advanced-indexing`
+```
+
+```{dropdown} Computational Patterns
+{doc}`../../intermediate/01-high-level-computation-patterns`
+```
+
+```{dropdown} Wrapping other arrays: dask
+{doc}`../../intermediate/xarray_and_dask`
+```
+
+```{dropdown} Wrapping custom computation
+{doc}`../../advanced/apply_ufunc/simple_numpy_apply_ufunc`
+
+{doc}`../../advanced/apply_ufunc/core-dimensions`
+
+{doc}`../../advanced/apply_ufunc/complex-output-numpy`
+
+{doc}`Explore the remaining material <../../advanced/apply_ufunc/apply_ufunc>`
+```

overview/intermediate-path/index.ipynb

@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6bad0788-4bd2-49bb-818a-4eda1e265cf1",
+   "metadata": {},
+   "source": [
+    "<img src=\"../../images/scipylogo2023.png\" align=\"right\" width=\"20%\">\n",
+    "\n",
+    "\n",
+    "# Welcome to the Xarray SciPy 2023 Tutorial! \n",
+    "\n",
+    "**Xarray**: *Friendly, Interactive, and Scalable Scientific Data Analysis*\n",
+    "\n",
+    "\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 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",
+    "\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](https://tutorial.xarray.dev)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

workshops/scipy2023/README.md

@@ -14,28 +14,6 @@ Organized by:
 
 ## Instructions
 
-### Nebari
-
-For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub at [scipy.quansight.dev](https://scipy.quansight.dev/)
-
-You can follow [this participants' guide to register and sign-in to Nebari](https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit).
-
-**NOTE: When you're in `Server Options` page, select the `Medium Instance for xarray` for the machine instance for this tutorial.**
-
-Once you see the Jupyterlab interface spun up, do the following:
-
-- Open a Terminal
-
-- Clone the tutorial materials:
-
-```
-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
 
 See instructions to set up the environment for running the tutorial material [here](get-started).