projectpythia Goto Github PK
Name: Project Pythia
Type: Organization
Bio: Community learning resource for Python-based computing in the geosciences
Twitter: Project_Pythia
Location: United States of America
Blog: projectpythia.org
Project Pythia's Projects
.github
Community health files: Contributing guidelines, Code of Conduct, ...
actions
GitHub Actions to do a variety of CI tasks for project Pythia
advanced-viz-cookbook
A cookbook to demonstrate advanced visualization techniques using matplotlib, cartopy, metpy, and geocat-viz.
atmoscol-2023
cesm-lens-aws-cookbook
Notebooks developed to demonstrate analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using Xarray and Dask
cmip6-cookbook
Examples of analysis of Google Cloud CMIP6 data using Pangeo tools
cookbook-actions
Reusable workflows used by Project Pythia Cookbooks
cookbook-gallery
Root site for the ProjectPythiaCookbooks GitHub Pages
cookbook-template
Project Pythia Cookbook template
dask-cookbook
Notebooks to demonstrate dask functionalities
eofs-cookbook
Cookbook covering empirical orthogonal function (EOF) analysis and examples of its application to geoscientific data
era5_interactive-cookbook
esds-github-sandbox
Sandbox repository for the Python & Git Tutorial during the 2024 ESDS Annual Event
github-sandbox
Sandbox repository for Getting Started with GitHub Foundations content
gridding-cookbook
Small cookbook to review xarray gridding
hrrr-aws-cookbook
A cookbook for working with AWS-served HRRR model output data
intake-cookbook
Cookbook showing use of Intake
interactive-sentinel-2-cookbook
Recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem.
kerchunk-cookbook
Project Pythia cookbook for Kerchunk
landsat-ml-cookbook
Machine learning on Landsat satellite data using open source tools
librarynb
marine-heatwave-cookbook
metpy-cookbook
na-cordex-viz-cookbook
Project Pythia Cookbook for NA-CORDEX data visualization
packaging-cookbook
This Project Pythia Cookbook covers Python packaging.
physical-oceanography-cookbook
Examples of how to use Xarray, Dask, and Holoviews to load, process, and visualize cloud-based ocean data. Datasets include satellite observations (gridded sea-surface height) and ocean model output (POP, MOM6).
projectpythia.github.io
pythia-cookoff-2023
Website for the Pythia Cook-off June 2023
pythia-cookoff-2024
Website for the Pythia Cook-off June 2024
pythia-datasets
Data repository for Project Pythia examples/notebooks
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