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• Atmospheric Science
• Climate Science
• Data Science
• Data Visualization
• Glaciology
• Hydrology
• Physical Oceanography
• Remote Sensing

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• Documentation
• Gallery
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Packages

• Cartopy
• Climlab
• Contextily
• Dask
• Geocat-Comp
• Geocat-Viz
• Geopandas
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• Holoviews
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• Intake
• Ipyleaflet
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• Matplotlib
• Metpy
• Numpy
• Pandas
• Pure Python
• Rasterio
• Scipy
• Siphon
• Wrf-Python
• Xarray
• Xgcm

Matplotlib

Author: the Matplotlib development team

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

data visualization documentation matplotlib

Matplotlib Tutorial

Author: the Matplotlib development team

This page contains more in-depth guides for using Matplotlib. It is broken up into beginner, intermediate, and advanced sections, as well as sections covering specific topics.

data visualization matplotlib tutorial

Matplotlib Gallery

Author: the Matplotlib development team

This gallery contains examples of the many things you can do with Matplotlib.

data visualization gallery matplotlib

Python Programming for Earth Science Students

Author: Hanna Asefaw, Lisa Tauxe, Brendan Cych
Affiliation: Scripps Institution of Oceanography

Python Programming for Earth Science Students

matplotlib numpy pandas pure python scipy tutorial

Pangeo Gallery

Author: Pangeo Community
Affiliation: Pangeo

A gallery of different Pangeo use cases

dask gallery glaciology holoviews hydrology intake jupyter matplotlib numpy pandas physical oceanography remote sensing tutorial xarray xgcm

Python for Atmosphere and Ocean Science

Author:
Affiliation: Data Carpentry

Lesson materials for a one-day workshop on using Python in the atmosphere and ocean sciences. Useful for any geoscientist working with raster (a.k.a. “gridded”) data, the lessons cover packages/tools including conda, xarray, dask and netCDF, as well as best practices including functions, command line ...more

Python for Atmosphere and Ocean Science

Author:
Affiliation: Data Carpentry

Lesson materials for a one-day workshop on using Python in the atmosphere and ocean sciences. Useful for any geoscientist working with raster (a.k.a. “gridded”) data, the lessons cover packages/tools including conda, xarray, dask and netCDF, as well as best practices including functions, command line programs, defensive programming, provenance tracking and version control via git/GitHub.

atmospheric science cartopy climate science course dask matplotlib numpy xarray

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atmospheric science cartopy climate science course dask matplotlib numpy xarray

Python for Geosciences

Author: Nikolay Koldunov
Affiliation: Alfred Wegener Institute for Polar and Marine Research

This is a short overview of how Python is used in science and particularly in geosciences targeting people who already know programming (e.g. Matlab).

atmospheric science cartopy climate science course data science matplotlib pandas physical oceanography scipy tutorial video xarray

Python Tutorial Seminar Series - Matplotlib

Author: Project Pythia, Anissa Zacharias
Affiliation: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `matplotlib`. The content to follow along with this video is hosted on this Matplotlib Tutorial GitHub Repository.

data visualization matplotlib video

Python Tutorial Seminar Series - Cartopy

Author: Michaela Sizemore, Project Pythia
Affiliation: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `cartopy`. The content to follow along with this video is hosted in this Cartopy Tutorial GitHub Repository.

cartopy data visualization matplotlib video