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    • A cookbook exploring the science and practice of radiative feedback analysis of climate model output
      Jupyter Notebook
      Apache License 2.0
      8271Updated Jun 19, 2025Jun 19, 2025
    • Jupyterbook source for the Foundations collection
      Jupyter Notebook
      Apache License 2.0
      48662811Updated Jun 19, 2025Jun 19, 2025
    • Jupyter Notebook
      Apache License 2.0
      8411Updated Jun 19, 2025Jun 19, 2025
    • 2024 Pythia Hackathon for Geostationary satellites
      Jupyter Notebook
      Apache License 2.0
      2001Updated Jun 19, 2025Jun 19, 2025
    • Accessing publicly available data from Argo ocean profilers, and using Scikit-learn functions to train machine learning models.
      Jupyter Notebook
      Apache License 2.0
      5112Updated Jun 19, 2025Jun 19, 2025
    • A short cookbook that is a companion to Unidata's CyberTraining project.
      Jupyter Notebook
      Apache License 2.0
      3011Updated Jun 19, 2025Jun 19, 2025
    • Small cookbook to review xarray gridding
      Jupyter Notebook
      Apache License 2.0
      5800Updated Jun 19, 2025Jun 19, 2025
    • Apache License 2.0
      2135241Updated Jun 19, 2025Jun 19, 2025
    • Cookbook showing use of Intake
      Jupyter Notebook
      Apache License 2.0
      6100Updated Jun 19, 2025Jun 19, 2025
    • Examples of analysis of Google Cloud CMIP6 data using Pangeo tools
      Jupyter Notebook
      Apache License 2.0
      101451Updated Jun 19, 2025Jun 19, 2025
    • Jupyter Notebook
      Apache License 2.0
      7112Updated Jun 19, 2025Jun 19, 2025
    • This Project Pythia Cookbook covers working with various sources of ocean biogeochemistry data, including Community Earth System Model (CESM) output and observational data.
      Jupyter Notebook
      Apache License 2.0
      5111Updated Jun 19, 2025Jun 19, 2025
    • This cookbook aims to understand variables that are important to dust emissions
      Jupyter Notebook
      Apache License 2.0
      7011Updated Jun 19, 2025Jun 19, 2025
    • Notebooks developed to demonstrate analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using Xarray and Dask
      Jupyter Notebook
      Apache License 2.0
      6410Updated Jun 19, 2025Jun 19, 2025
    • HEALPix Cookbook
      Jupyter Notebook
      Apache License 2.0
      4121Updated Jun 19, 2025Jun 19, 2025
    • Digital Earths Global Hackathon: Land-Atmosphere and Hydrology Interactions Cookbook
      Jupyter Notebook
      Apache License 2.0
      6200Updated Jun 19, 2025Jun 19, 2025
    • Wavelet Analysis in Python for Geoscience
      Jupyter Notebook
      Apache License 2.0
      6311Updated Jun 19, 2025Jun 19, 2025
    • Jupyter Notebook
      Apache License 2.0
      3101Updated Jun 19, 2025Jun 19, 2025
    • Notebooks to demonstrate dask functionalities
      Jupyter Notebook
      Apache License 2.0
      7510Updated Jun 19, 2025Jun 19, 2025
    • Machine learning on Landsat satellite data using open source tools
      Jupyter Notebook
      Apache License 2.0
      61422Updated Jun 19, 2025Jun 19, 2025
    • Website for the Pythia Cook-off August 2025
      Jupyter Notebook
      Apache License 2.0
      5011Updated Jun 19, 2025Jun 19, 2025
    • This Project Pythia Cookbook covers Python packaging.
      Jupyter Notebook
      Apache License 2.0
      71101Updated Jun 19, 2025Jun 19, 2025
    • Cookbook showcasing workflows & techniques for visualizing unstructured grids using the UXarray python package
      Jupyter Notebook
      Apache License 2.0
      4731Updated Jun 19, 2025Jun 19, 2025
    • Getting started with vapor python
      Jupyter Notebook
      Apache License 2.0
      6621Updated Jun 19, 2025Jun 19, 2025
    • Jupyter Notebook
      Apache License 2.0
      4141Updated Jun 19, 2025Jun 19, 2025
    • Recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem.
      Jupyter Notebook
      Apache License 2.0
      8302Updated Jun 19, 2025Jun 19, 2025
    • Python
      Apache License 2.0
      3041Updated Jun 19, 2025Jun 19, 2025
    • An open educational resource within Project Pythia for teaching atmospheric modeling fundamentals in Python with Numba
      Jupyter Notebook
      Apache License 2.0
      8362Updated Jun 19, 2025Jun 19, 2025
    • 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).
      Jupyter Notebook
      MIT License
      11413Updated Jun 19, 2025Jun 19, 2025
    • Cookbook covering empirical orthogonal function (EOF) analysis and examples of its application to climate data
      Jupyter Notebook
      Apache License 2.0
      3831Updated Jun 19, 2025Jun 19, 2025