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Add placeholder Scipy 2026 tutorial page (#357)
* Copy 2025 tutorial to 2026 as template * update TOC * Update workshop page for 2026
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_toc.yml

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- caption: Workshops
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chapters:
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- file: workshops/scipy2026/index.ipynb
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- file: workshops/scipy2025/index.ipynb
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- file: workshops/scipy2024/index.ipynb
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- file: workshops/scipy2023/README

workshops/scipy2026/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": "0",
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"metadata": {},
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"source": [
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"# SciPy 2026\n",
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"\n",
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"## Welcome to the Xarray SciPy 2026 Tutorial! \n",
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"\n",
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"> 🚧👷‍♀️🏗️ This page is under construction\n",
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"\n",
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"<!-- <img src=\"https://images.squarespace-cdn.com/content/v1/6743676bb9f2e109f0ddba96/055e9b3f-965f-42c7-b496-2ba3870e216e/Logo_color-black.png?format=1500w\" align=\"right\" width=\"20%\"> TODO: Update for 2026 --> \n",
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"\n",
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"**Everything is an Xarray Dataset**\n",
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"\n",
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"<!-- July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315 # TODO: Update for 2026 -->\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 will review a curated set of examples that will prepare you for increasingly complex real-world data analysis tasks! TODO: Update for 2026-->\n",
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"\n",
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":::{admonition} Learning Goals\n",
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"TODO: Update learning goals for 2026\n",
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"- Understand Xarray’s core data structures\n",
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"- Understand how to map typical Xarray computations and workflows over hierarchical data\n",
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"- Understand how common storage formats correspond to the DataTree model\n",
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"- Open a public Zarr store in the cloud and manipulate the contents\n",
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":::"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1",
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"metadata": {},
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"source": [
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"<!-- ## Schedule \n",
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"\n",
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"*Times in US/Pacific Timezone (Tacoma, WA)\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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"| Topic | Time | Notebook Links | \n",
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"| :- | - | - | \n",
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"| Introduction and Setup | 1:30 (10 min) | | \n",
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"| The Xarray Data Model | 1:40 (50 min) | [Data structures Part 1](../../intermediate/datastructures-intermediate.ipynb)|\n",
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"|||[Data structures In Biology](../../intermediate/BiologyDataset.ipynb)| \n",
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"|||[Data structures Part 2](../../fundamentals/01_data_structures.md)| \n",
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"| *10 minute Break* \n",
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"| Computational Patterns | 2:30 (50 min) | [Computational Patterns](../../fundamentals/03.1_computation_with_xarray.ipynb) <br> [Hierarchical computation](../../intermediate/computation/hierarchical_computation.ipynb) | \n",
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"| *10 minute Break* | \n",
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"| Storage formats | 3:30 (50 min) | [Storage formats](../../fundamentals/01.1_io.ipynb) | \n",
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"| *10 minute Break* | \n",
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"| Zarr & the cloud | 4:30 (50 min) | [Intro to Zarr](../../intermediate/intro-to-zarr.ipynb) |\n",
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"| | End 5:30 | | \n",
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"\n",
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"TODO: Update\n",
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"-->"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2",
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"metadata": {},
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"source": [
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"### Tutorial Setup\n",
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"\n",
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"Refer to the [Getting Started Section](../../overview/get-started.md) for various options to run tutorial notebooks either on your personal computer or on a free Cloud-hosted server."
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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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}

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