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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "0", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# SciPy 2025\n", |
| 9 | + "\n", |
| 10 | + "## Welcome to the Xarray SciPy 2025 Tutorial! \n", |
| 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", |
| 13 | + "\n", |
| 14 | + "**Hierarchical Data Analysis with Xarray DataTree & Zarr**\n", |
| 15 | + "\n", |
| 16 | + "July 8, 13:30–17:30 (US/Pacific), Tacoma Convention Center Room 315\n", |
| 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", |
| 19 | + "\n", |
| 20 | + ":::{admonition} Learning Goals\n", |
| 21 | + "- Understand Xarray’s core data structures\n", |
| 22 | + "- Understand how to map typical Xarray computations and workflows over hierarchical data\n", |
| 23 | + "- Understand how common storage formats correspond to the DataTree model\n", |
| 24 | + "- Open a public Zarr store in the cloud and manipulate the contents\n", |
| 25 | + ":::" |
| 26 | + ] |
| 27 | + }, |
| 28 | + { |
| 29 | + "cell_type": "markdown", |
| 30 | + "id": "1", |
| 31 | + "metadata": {}, |
| 32 | + "source": [ |
| 33 | + "## Schedule \n", |
| 34 | + "\n", |
| 35 | + "*Times in US/Pacific Timezone (Tacoma, WA)\n", |
| 36 | + "\n", |
| 37 | + "Use the links to navigate to the right notebooks.\n", |
| 38 | + "\n", |
| 39 | + "| Topic | Time | Notebook Links | \n", |
| 40 | + "| :- | - | - | \n", |
| 41 | + "| Introduction and Setup | 1:30 (10 min) | | \n", |
| 42 | + "| The Xarray Data Model | 1:40 (50 min) | [Data structures](../../fundamentals/01_data_structures.md) | \n", |
| 43 | + "| *10 minute Break* \n", |
| 44 | + "| Computational Patterns | 2:30 (50 min) | [Computational Patterns](../../intermediate/01-high-level-computation-patterns.ipynb) <br> | \n", |
| 45 | + "| *10 minute Break* | \n", |
| 46 | + "| Storage formats | 3:30 (50 min) | [Storage formats](../../fundamentals/01.1_io.ipynb) | \n", |
| 47 | + "| *10 minute Break* | \n", |
| 48 | + "| Zarr & the cloud | 4:30 (50 min) | [Intro to Zarr](../../intermediate/intro-to-zarr.ipynb) |\n", |
| 49 | + "| | End 5:30 | |" |
| 50 | + ] |
| 51 | + }, |
| 52 | + { |
| 53 | + "cell_type": "markdown", |
| 54 | + "id": "2", |
| 55 | + "metadata": {}, |
| 56 | + "source": [ |
| 57 | + "### Tutorial Setup\n", |
| 58 | + "\n", |
| 59 | + "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." |
| 60 | + ] |
| 61 | + } |
| 62 | + ], |
| 63 | + "metadata": { |
| 64 | + "language_info": { |
| 65 | + "codemirror_mode": { |
| 66 | + "name": "ipython", |
| 67 | + "version": 3 |
| 68 | + }, |
| 69 | + "file_extension": ".py", |
| 70 | + "mimetype": "text/x-python", |
| 71 | + "name": "python", |
| 72 | + "nbconvert_exporter": "python", |
| 73 | + "pygments_lexer": "ipython3" |
| 74 | + } |
| 75 | + }, |
| 76 | + "nbformat": 4, |
| 77 | + "nbformat_minor": 5 |
| 78 | +} |
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