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Update Xarray in 45 min (#240)
* Update Xarray in 45 min * Fix errors * Small updates * Remove logo in most places
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advanced/accessors/01_accessor_examples.ipynb

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"Perhaps you find yourself running similar code for multiple xarray objects or across related projects. By packing your code into an extension, it makes it easy to repeat the same operation while reducing the likelihood of [human introduced] errors.\n",
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"Here we wrap the reorganization of InSAR ice velocity data illustrated in [this tutorial](https://tutorial.xarray.dev/data_cleaning/ice_velocity.html?highlight=ice_velocity) into a custom Xarray extension that makes it easy to re-apply each time you begin working with a new InSAR velocity dataset. Please see the linked tutorial for details on the data, applications, and each step in this process."
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"Here we wrap the reorganization of InSAR ice velocity data illustrated in [this tutorial](https://tutorial.xarray.dev/intermediate/data_cleaning/05.3_ice_velocity.html) into a custom Xarray extension that makes it easy to re-apply each time you begin working with a new InSAR velocity dataset. Please see the linked tutorial for details on the data, applications, and each step in this process."
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"nbformat": 4,
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"nbformat_minor": 4
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advanced/map_blocks/simple_map_blocks.ipynb

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"tags": []
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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# A gentle introduction\n",
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"`map_blocks` is inspired by the `dask.array` function of the same name and lets\n",

fundamentals/01.1_creating_data_structures.ipynb

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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Creating Data Structures"
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fundamentals/01_datastructures.ipynb

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"cell_type": "markdown",
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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Xarray's Data structures\n",
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"In this lesson, we cover the basics of Xarray data structures. Our\n",

fundamentals/02.2_manipulating_dimensions.ipynb

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"cell_type": "markdown",
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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Manipulating Dimensions (Data Resolution)\n",
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"Sometimes we need to change the resolution of our data. We might need to look at inferred values between dimension (grid) spaces\n",

fundamentals/02.3_aligning_data_objects.ipynb

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"cell_type": "markdown",
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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Computing with Multiple Objects\n",
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"Learning goals:\n",

fundamentals/03.4_weighted.ipynb

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"# Weighted Reductions\n",
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"Xarray supports [weighted reductions](https://docs.xarray.dev/en/stable/user-guide/computation.html#weighted-array-reductions).\n",

fundamentals/04.1_basic_plotting.ipynb

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"toc": true
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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Basic Visualization\n",
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"At the end of this lesson you will learn:\n",

fundamentals/04.2_faceting.ipynb

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"# Faceting\n",
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"Faceting is the art of presenting \"small multiples\" of the data. It is an\n",

fundamentals/04.3_geographic_plotting.ipynb

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"<img src=\"https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png\" align=\"right\" width=\"30%\">\n",
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"# Geography with Cartopy\n",
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"Since xarray's default plotting functionality builds on matplotlib, we can\n",

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