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GeoCAT Applications is a community resource inspired by the NCL Applications page.

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GeoCAT Applications

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GeoCAT Applications is a community resource managed by the GeoCAT team. Inspired by NCL Applications.

GeoCAT Applications is broken into two main sections:

  1. Applications
  2. NCL to Python

Applications

Applications is designed to be a quick reference to demonstrate capabilities within the scientific Python ecosystem that may be relevant to your geoscience workflows

NCL to Python

NCL to Python consists of pages that explain specifically how to achieve something that was possible in NCL in Python, including any algorithmic differences, guidance regarding replication under different conditions or circumstances, and any other relevant comparisons between the NCL and Python functionality

This is part of the GeoCAT team's commitment to NCL and NSF NCAR's Pivot to Python

These pages assume that the user has a working knowledge of NCL and are looking for transitional resources for specific functions. They also are not intended to be a comprehensive explanation of the Python recommendations, but rather a guide for users who are already familiar with the NCL function and are looking for “equivalent” Python code

Contributing

If you are interesting in contributing to geocat-applications, please check out our Contributor Guide

Contributors

Thank you to all of our contributors (emoji key):

Anissa Zacharias
Anissa Zacharias

🚇 💻 🤔
Cora Schneck
Cora Schneck

💻 🚇 🤔
Katelyn FitzGerald
Katelyn FitzGerald

💻 🤔
Julia Kent
Julia Kent

💻 🤔
Andy McKeen
Andy McKeen

💻

This project follows the all-contributors specification. Contributions of any kind are welcome!

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GeoCAT Applications is a community resource inspired by the NCL Applications page.

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  • Jupyter Notebook 88.1%
  • Python 4.9%
  • NCL 4.5%
  • TeX 1.7%
  • Batchfile 0.3%
  • Makefile 0.3%
  • CSS 0.2%