initial commits and contents

Author: negin513

intermediate/intro-to-zarr.ipynb

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+{
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+  {
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+   "id": "8253fe2d",
+   "metadata": {},
+   "source": [
+    "# Intro to Zarr\n",
+    "\n",
+    "This notebook provides a brief introduction to Zarr and how to\n",
+    "use it in cloud environments for scalable, chunked, and compressed data storage.\n",
+    "Zarr is a file format with implementations in different languages. In this tutorial, we will look at an example of how to use the Zarr format by looking at some features of the `zarr-python` library and how Zarr files can be opened with `xarray`.\n",
+    "\n",
+    "## What is Zarr?\n",
+    "\n",
+    "The Zarr data format is an open, community-maintained format designed for efficient, scalable storage of large N-dimensional arrays. It stores data as compressed and chunked arrays in a format well-suited to parallel processing and cloud-native workflows.\n",
+    "\n",
+    "### Zarr Data Organization:\n",
+    "- **Arrays**: N-dimensional arrays that can be chunked and compressed.\n",
+    "- **Groups**: A container for organizing multiple arrays and other groups with a hierarchical structure.\n",
+    "- **Metadata**: JSON-like metadata describing the arrays and groups, including information about dimensions, data types, and compression.\n",
+    "- **Dimensions and Shape**: Arrays can have any number of dimensions, and their shape is defined by the number of elements in each dimension.\n",
+    "- **Coordinates & Indexing**: Zarr supports coordinate arrays for each dimension, allowing for efficient indexing and slicing.\n",
+    "\n",
+    "The diagram below showing the structure of a Zarr file:\n",
+    "![EarthData](https://learning.nceas.ucsb.edu/2025-04-arctic/images/zarr-chunks.png)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae9c38ed",
+   "metadata": {
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+     "languageId": "plaintext"
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+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "233640b0",
+   "metadata": {
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+   },
+   "outputs": [],
+   "source": [
+    "The Xarray library provides a rich API for working with Zarr data, slicing, and selecting data. \n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
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+ "nbformat_minor": 5
+}