A curated list of awesome Pangeo related Python frameworks, libraries, software and resources.
- Xarray - Tools for working with labelled multi-dimensional arrays
- Zarr - A Python package providing an implementation of chunked, compressed, N-dimensional arrays.
- Dask - A flexible library for parallel computing in Python.
- JupyterHub - A multi-user Hub, spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.
- Zero to JupyterHub - Resources for deploying JupyterHub to a Kubernetes Cluster
- Jupyterlab - The next-generation web-based user interface for Project Jupyter.
- Intake - A lightweight package for finding, investigating, loading and disseminating data.
- Intake-xarray - Intake plugin for xarray
- Intake-cmip - An intake plugin for reading CMIP5, and CMIP6 data using intake
- Intake-cesmle - An intake plugin for reading CESM Large Ensemble datasets.
- Esmlab - Tools for working with earth system multi-model analyses with xarray.
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Pangeo Tutorial at the 2018 AGU Fall Meeting - dask, xarray
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Pangeo Tutorial for 2018 UCAR SEA Conference - dask, xarray
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Dask for Parallel Computing and Big Data - dask, xarray
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Xarray for Multidimensional Data - xarray
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Python (and git) lesson for atmosphere and ocean scientists - xarray
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Pangeo: A Big Data Ecosystem for Scalable Earth System Science - SciPy 2018
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Parallelizing Scientific Python with Dask - SciPy 2018
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ESIP Tech Dive: "Zarr: An open, scalable solution for big NetCDF/HDF data on the Cloud"