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Resources

Contents

  • Course Materials
    • Handout
  • Bonus Resources
    • Cheatsheets
    • Colormap Tools
    • Galleries

Resources#

Course Materials#

These are the resources that were used in the short course. They are also linked by section in the Event Agenda.

  • Slides (all sections)

  • Project Pythia

    • Advanced Visualization Cookbook

    • Unstructured Grid Visualization Cookbook

Handout#

These are the resources mentioned on the handout:

  • Project Pythia

  • Scientific Visualization: Python + Matplotlib by Nicholas Rougier

  • Matplotlib cheatsheets and handouts

  • MetPy

  • Cartopy

  • Jupyter

  • Choosing Colormaps in Matplotlib

Bonus Resources#

Want some additional resources? Here’s some sites, galleries, and cheatsheets that we’ve made or recommend.

  • PyViz

  • Project Pythia Cookbooks

  • GeoCAT

    • GeoCAT-Applications

Cheatsheets#

  • Matplotlib cheatsheets and handouts

  • Holoviews cheatsheet

Colormap Tools#

  • Choosing Colormaps in Matplotlib

  • cmweather

  • cmocean

Galleries#

  • Cartopy gallery

  • Matplotlib gallery

  • GeoCAT-examples gallery

  • Holoviews gallery

  • Geoviews gallery

  • Plotly gallery

  • Lonboard gallery

  • Bokeh gallery

  • Vega-Altair gallery

  • Python Graph Gallery

Contents
  • Course Materials
    • Handout
  • Bonus Resources
    • Cheatsheets
    • Colormap Tools
    • Galleries

By GeoCAT

© Copyright 2025, University Corporation for Atmospheric Research.

The NSF National Center for Atmospheric Research (NSF NCAR) is sponsored by the U.S. National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.