|
5 | 5 | "id": "0", |
6 | 6 | "metadata": {}, |
7 | 7 | "source": [ |
8 | | - "# SciPy 2025\n", |
| 8 | + "# SciPy 2026\n", |
9 | 9 | "\n", |
10 | | - "## Welcome to the Xarray SciPy 2025 Tutorial! \n", |
| 10 | + "## Welcome to the Xarray SciPy 2026 Tutorial! \n", |
11 | 11 | "\n", |
12 | | - "<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", |
| 12 | + "> 🚧👷♀️🏗️ This page is under construction\n", |
13 | 13 | "\n", |
14 | | - "**Hierarchical Data Analysis with Xarray DataTree & Zarr**\n", |
| 14 | + "<!-- <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", |
15 | 15 | "\n", |
16 | | - "July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315\n", |
| 16 | + "**Everything is an Xarray Dataset**\n", |
17 | 17 | "\n", |
18 | | - "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", |
| 18 | + "<!-- July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315 # TODO: Update for 2026 -->\n", |
| 19 | + "\n", |
| 20 | + "<!-- 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", |
19 | 21 | "\n", |
20 | 22 | ":::{admonition} Learning Goals\n", |
| 23 | + "TODO: Update learning goals for 2026\n", |
21 | 24 | "- Understand Xarray’s core data structures\n", |
22 | 25 | "- Understand how to map typical Xarray computations and workflows over hierarchical data\n", |
23 | 26 | "- Understand how common storage formats correspond to the DataTree model\n", |
|
30 | 33 | "id": "1", |
31 | 34 | "metadata": {}, |
32 | 35 | "source": [ |
33 | | - "## Schedule \n", |
| 36 | + "<!-- ## Schedule \n", |
34 | 37 | "\n", |
35 | 38 | "*Times in US/Pacific Timezone (Tacoma, WA)\n", |
36 | 39 | "\n", |
|
48 | 51 | "| Storage formats | 3:30 (50 min) | [Storage formats](../../fundamentals/01.1_io.ipynb) | \n", |
49 | 52 | "| *10 minute Break* | \n", |
50 | 53 | "| Zarr & the cloud | 4:30 (50 min) | [Intro to Zarr](../../intermediate/intro-to-zarr.ipynb) |\n", |
51 | | - "| | End 5:30 | |" |
| 54 | + "| | End 5:30 | | \n", |
| 55 | + "\n", |
| 56 | + "TODO: Update\n", |
| 57 | + "-->" |
52 | 58 | ] |
53 | 59 | }, |
54 | 60 | { |
|
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