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Cookbooks Gallery

Pythia Cookbooks provide example workflows on more advanced and domain-specific problems developed by the Pythia community. Cookbooks build on top of skills you learn in Pythia Foundations.

Cookbooks are created from Jupyter Notebooks that we strive to binderize so each Cookbook can be executed in the cloud with a single click from your browser, but in some instances executing a Cookbook will require running the notebooks locally.

Interested in contributing a new Cookbook or contributing to an existing Cookbook? Great! Please see the Project Pythia Cookbook Contributor’s Guide, and consider opening a discussion under the Project Pythia category of the Pangeo Discourse.

Submit a new Cookbook

CESM LENS on AWS Cookbook

Author: the Project Pythia Community


Notebooks developed to demonstrate analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using Xarray and Dask.

climate intake-esm
nightly-build Binder

CMIP6 Cookbook

Author: Ryan Abernathey, Henri Drake, Robert Ford


Examples of analysis of Google Cloud CMIP6 data using Pangeo tools.

climate intake-esm xesmf
nightly-build Binder

HRRR-AWS-Cookbook

Author: the Project Pythia Community


A cookbook for working with AWS-served HRRR model output data.

AWS-cloud HRRR-model xarray zarr
nightly-build Binder

Radar Cookbook

Author: Max Grover, Zachary Sherman


A cookbook meant to work with various weather radar data.

Py-Art radar
nightly-build Binder

Intake Cookbook

Author: James Morley


This cookbook shows examples of using and creating Intake catalogs to access data.

Data-access intake intake-markdown intake-xarray
nightly-build Binder

Landsat ML Cookbook

Author: Demetris Roumis


Machine learning on Landsat data

climate dask hvPlot intake ml satellite xarray
nightly-build Binder

(re)Gridding with xarray

Author: Thomas Martin


A small collection of notebooks that explores some (re)gridding options within the [Xarray](https://docs.xarray.dev/en/stable/) ecosystem.

sampledomain samplepackage
nightly-build Binder

Kerchunk Cookbook

Author: Norland Raphael Hagen


A Project Pythia Cookbook for Kerchunk

AWS-Cloud Data-Access HRRR-model intake kerchunk xarray zarr
nightly-build Binder

xbatcher for Machine Learning Part 1

Author: Christopher Dupuis


A complete workflow for a convolutional neural network using xbatcher.

IPython data-science intake machine-learning matplotlib numpy oceanography scientific-software-engineering tensorflow xarray xbatcher zarr
nightly-build Binder
NCAR
Unidata
UAlbany

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© 2022. By the Project Pythia Community. Last updated on 13 March 2023.

This material is based upon work supported by the National Science Foundation under Grant Nos. 2026863 and 2026899. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.