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1 change: 1 addition & 0 deletions _toc.yml
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Expand Up @@ -81,6 +81,7 @@ parts:

- caption: Workshops
chapters:
- file: workshops/scipy2025/index.ipynb
- file: workshops/scipy2024/index.ipynb
- file: workshops/scipy2023/README
- file: workshops/thinking-like-xarray/README
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101 changes: 101 additions & 0 deletions workshops/scipy2025/index.ipynb
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I'll make sure the codespace setup is working, the readme also has a binder link, which is still pointing at the 2024 index:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD?labpath=workshops/scipy2024/index.ipynb)

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{
"cells": [
{
"cell_type": "markdown",
"id": "0",
"metadata": {},
"source": [
"# SciPy 2025\n",
"\n",
"## Welcome to the Xarray SciPy 2025 Tutorial! \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%\">\n",
"\n",
"**Xarray**: *Friendly, Interactive, and Scalable Scientific Data Analysis*\n",
"\n",
"July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315\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!\n",
"\n",
":::{admonition} Learning Goals\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](../../fundamentals/01_data_structures.md) | \n",
"| *10 minute Break* \n",
"| Computational Patterns | 2:30 (50 min) | [Computational Patterns](../../intermediate/01-high-level-computation-patterns.ipynb) <br> | \n",
"| *10 minute Break* | \n",
"| Storage formats | 3:30 (50 min) | [Storage formats](../../intermediate/storage_formats.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 | |"
]
},
{
"cell_type": "markdown",
"id": "2",
"metadata": {},
"source": [
"### Tutorial Setup\n",
"\n",
"We recommend using a preconfigured GitHub Codespace for this tutorial. This section describes how to access and manage a GitHub Codespace.\n",
"\n",
":::{note}\n",
"If you prefer to work on your own computer, refer to instructions in the [Getting Started Section](../../overview/get-started.md)\n",
":::\n",
"\n",
"This tutorial is available to run within [Github Codespaces](https://github.com/features/codespaces) - \"a development environment that's hosted in the cloud\".\n",
"\n",
"[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new/xarray-contrib/xarray-tutorial/tree/main?devcontainer_path=.devcontainer%2Fscipy2024%2Fdevcontainer.json)\n",
"\n",
"☝️ Click the button above to go to options window to launch a Github Codespace.\n",
"\n",
"GitHub currently gives every user [120 vCPU-hours per month for free](https://docs.github.com/en/billing/managing-billing-for-github-codespaces/about-billing-for-github-codespaces#monthly-included-storage-and-core-hours-for-personal-accounts), beyond that you must pay. **So be sure to explicitly stop your Codespace when you are done by going to this page (https://github.com/codespaces).**\n",
"\n",
"Once your Codespace is launched, the following happens:\n",
"\n",
"- [Visual Studio Code](https://code.visualstudio.com/) Interface will open up within your browser.\n",
"- A built in terminal will open and it will execute `jupyter lab` automatically.\n",
"- Once you see a url to click within the terminal, simply `cmd + click` the given url.\n",
"- This will open up another tab in your browser, leading to a [Jupyter Lab](https://jupyterlab.readthedocs.io/en/latest/) Interface.\n",
"\n",
":::{warning}\n",
"Consider Codespaces as ephemeral environments. You may lose your connection and any edits you make.\n",
":::"
]
}
],
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"name": "ipython",
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"file_extension": ".py",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3"
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}
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