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1 change: 1 addition & 0 deletions _toc.yml
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- caption: Workshops
chapters:
- file: workshops/scipy2026/index.ipynb
- file: workshops/scipy2025/index.ipynb
- file: workshops/scipy2024/index.ipynb
- file: workshops/scipy2023/README
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86 changes: 86 additions & 0 deletions workshops/scipy2026/index.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "0",
"metadata": {},
"source": [
"# SciPy 2026\n",
"\n",
"## Welcome to the Xarray SciPy 2026 Tutorial! \n",
"\n",
"> 🚧👷‍♀️🏗️ This page is under construction\n",
"\n",
"<!-- <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",
"\n",
"**Everything is an Xarray Dataset**\n",
"\n",
"<!-- July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315 # TODO: Update for 2026 -->\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 will review a curated set of examples that will prepare you for increasingly complex real-world data analysis tasks! TODO: Update for 2026-->\n",
"\n",
":::{admonition} Learning Goals\n",
"TODO: Update learning goals for 2026\n",
"- Understand Xarray’s core data structures\n",
"- Understand how to map typical Xarray computations and workflows over hierarchical data\n",
"- Understand how common storage formats correspond to the DataTree model\n",
"- Open a public Zarr store in the cloud and manipulate the contents\n",
":::"
]
},
{
"cell_type": "markdown",
"id": "1",
"metadata": {},
"source": [
"<!-- ## Schedule \n",
"\n",
"*Times in US/Pacific Timezone (Tacoma, WA)\n",
"\n",
"Use the links to navigate to the right notebooks.\n",
"\n",
"| Topic | Time | Notebook Links | \n",
"| :- | - | - | \n",
"| Introduction and Setup | 1:30 (10 min) | | \n",
"| The Xarray Data Model | 1:40 (50 min) | [Data structures Part 1](../../intermediate/datastructures-intermediate.ipynb)|\n",
"|||[Data structures In Biology](../../intermediate/BiologyDataset.ipynb)| \n",
"|||[Data structures Part 2](../../fundamentals/01_data_structures.md)| \n",
"| *10 minute Break* \n",
"| Computational Patterns | 2:30 (50 min) | [Computational Patterns](../../fundamentals/03.1_computation_with_xarray.ipynb) <br> [Hierarchical computation](../../intermediate/computation/hierarchical_computation.ipynb) | \n",
"| *10 minute Break* | \n",
"| Storage formats | 3:30 (50 min) | [Storage formats](../../fundamentals/01.1_io.ipynb) | \n",
"| *10 minute Break* | \n",
"| Zarr & the cloud | 4:30 (50 min) | [Intro to Zarr](../../intermediate/intro-to-zarr.ipynb) |\n",
"| | End 5:30 | | \n",
"\n",
"TODO: Update\n",
"-->"
]
},
{
"cell_type": "markdown",
"id": "2",
"metadata": {},
"source": [
"### Tutorial Setup\n",
"\n",
"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."
]
}
],
"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
}
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