This repository contains the documentation and jupyter notebooks used for delivering tutorial to BiDS'23.
The content of this repository (folder tutorial) is rendered as an online document using Jupyter Book. You can access it here.
Part-1: Pangeo
- 9:00 Welcome (5 minutes)
- 9:05 Introduction and Motivation (15 minutes)
- 9:20 Overview of the Pangeo ecosystem (20 minutes)
- 9:40 Understanding Xarray to avoid common pitfalls (30 minutes)
- 10:10 Interactive Visualization with Hvplot (20 minutes)
- 10:30 Break (30 minutes)
Part-2: OpenEO
- 11:00 Getting started with OpenEO (15 minutes)
- 11:15 Accessing data with OpenEO (25 minutes)
- 11:40 Processing data with OpenEO (30 minutes)
- 12:10 Working with data cubes with OpenEO (20 minutes)
- 12:30 Lunch
Part-3: Unlocking the Power of Space Data with Pangeo & OpenEO
- 14:00 Understanding what OpenEO does best and how to exploit it to easily streamline your data analysis (25 minutes)
- 14:25 Scaling with OpenEO (25 minutes)
- 14:50 Understanding when and how to exploit Pangeo to customise your algorithm and analyse multiple data sources (20 minutes)
- 15:10 Introduction to chunking (20 minutes)
- 15:30 Break
- 16:00 Scaling with Dask (30 minutes)
- 16:30 Cloud-friendly access to archival data with kerchunk (25 minutes)
- 16:55 Create Analysis Ready Cloud Optimised (ARCO) data (25 minutes)
- 17:20 Common workflow that combines the best of the two “worlds” (30 minutes)
- 17:50 Wrap-up and feedback survey (10 minutes)
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!