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Post-SciPy update (#210)
* Post-SciPy update * remove scipy nebari information
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‎README.md

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## Acknowledgements
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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).
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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

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

‎_toc.yml

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- file: overview/learning-paths.md
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sections:
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- file: overview/fundamental-path/README.md
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- file: overview/intermediate-path/README.md
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- caption: Fundamentals
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chapters:

‎overview/fundamental-path/README.md

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

‎overview/intermediate-path/README.md

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

‎overview/intermediate-path/index.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "6bad0788-4bd2-49bb-818a-4eda1e265cf1",
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"metadata": {},
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"source": [
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"<img src=\"../../images/scipylogo2023.png\" align=\"right\" width=\"20%\">\n",
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"\n",
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"\n",
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"# Welcome to the Xarray SciPy 2023 Tutorial! \n",
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"\n",
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"**Xarray**: *Friendly, Interactive, and Scalable Scientific Data Analysis*\n",
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"\n",
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"\n",
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"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",
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"\n",
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"\n",
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"## Schedule \n",
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"*Times in Central Daylight (Austin, TX)\n",
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"\n",
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"Use the links to navigate to the right notebooks.\n",
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"\n",
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"**Remember to select `global-global-xarray environment` for the notebooks when prompted.**\n",
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"\n",
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"| Topic | Time | Notebook Links | \n",
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"| :- | - | - | \n",
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"| Introduction and Setup | 1:30 (20 min) | --- | \n",
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"| Indexing | 1:50 (30 min) | [Advanced and Vectorized Indexing](../../intermediate/indexing/advanced-indexing.ipynb) | \n",
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"| *10 minute Break* \n",
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"| Computational Patterns | 2:30 (50 min) | [Computation Patterns](../../intermediate/01-high-level-computation-patterns.ipynb) | \n",
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"| *10 minute Break* | \n",
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"| Wrapping other arrays | 3:30 (50 min) | [Xarray and Dask](../../intermediate/xarray_and_dask.ipynb) | \n",
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"| *10 minute Break* | \n",
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"| 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",
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"| | **End 5:30** | |\n",
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"\n",
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"\n",
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"\n",
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"## Thanks for attending!\n",
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"\n",
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"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)"
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]
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}
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],
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎workshops/scipy2023/README.md

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## Instructions
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### Nebari
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For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub at [scipy.quansight.dev](https://scipy.quansight.dev/)
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You can follow [this participants' guide to register and sign-in to Nebari](https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit).
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**NOTE: When you're in `Server Options` page, select the `Medium Instance for xarray` for the machine instance for this tutorial.**
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Once you see the Jupyterlab interface spun up, do the following:
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- Open a Terminal
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- Clone the tutorial materials:
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```
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git clone https://github.com/xarray-contrib/xarray-tutorial.git
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```
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- Navigate to `xarray-tutorial/workshops/scipy2023/index.ipynb`
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- Select `global-global-xarray` environment for the notebooks when prompted.
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### Running Locally
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See instructions to set up the environment for running the tutorial material [here](get-started).

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