https://github.com/zarr-developers/tutorials

Notebooks and other content for Zarr tutorials
https://github.com/zarr-developers/tutorials

Last synced: 6 months ago
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Notebooks and other content for Zarr tutorials

• Host: GitHub
• URL: https://github.com/zarr-developers/tutorials
• Owner: zarr-developers
• License: apache-2.0
• Created: 2022-04-12T18:15:47.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-11-07T11:45:24.000Z (about 3 years ago)
• Last Synced: 2025-05-06T17:48:41.312Z (9 months ago)
• Language: Jupyter Notebook
• Size: 3.07 MB
• Stars: 39
• Watchers: 5
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-zarr - Zarr tutorials (zarr-developers/tutorials)

README

          
# Zarr Interactive Tutorial

👋 Welcome to the Zarr tutorial! This tutorial was created for the 2022 [Cloud-Native Geo Event](https://schedule.cloudnativegeo.org/). It borrows heavily from the [tutorial section of the Zarr docs](https://zarr.readthedocs.io/en/stable/tutorial.html).

[![Binder](https://aws-uswest2-binder.pangeo.io/badge_logo.svg)](

https://aws-uswest2-binder.pangeo.io/v2/gh/pangeo-data/pangeo-docker-images/793b4d0?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fzarr-developers%252Ftutorials%26urlpath%3Dlab%252Ftree%252Ftutorials%252Fzarr_cloud_native_geospatial_2022_blank.ipynb%26branch%3Dmain)

_Level: intermediate python programs. Ideally you are already a bit familiar with Numpy and Xarray._

This will be a live-coding tutorial. You will get the most out of the tutorial if you follow along in a blank notebook and type the code in yourself. 

**Learning Goals**

By the end of this tutorial, you should be able to:

- Identify the fundamental data structures in Zarr (Groups and Arrays) and the key properties of Arrays (shape, dtype, chunks, attributes)

- Create Arrays and Groups in local files or in S3

- Create and edit attributes (metadata)

- Read and write data into Arrays

- Evaluate the tradeoffs of different Array chunking strageies

- Read and write NetCDF-style data to Zarr using Xarray

- Do parallel processing on Xarray / Zarr data using Dask