Pythia Resource Gallery

Your First Python Tutorial

Author: Xdev Team
Institution: NCAR

A tutorial for getting started with Python aimed at scientists with experience in at least one other coding language. Designed to teach you Python, not package specific syntax.

pure-python pythia video xdev

Unidata Python Training

Author: Anonymous
Institution: Unidata

Introduction to Python for Atmospheric Science

course unidata

Unidata Python Workshop - Jupyter Notebooks Introduction

Author: Anonymous
Institution: Unidata

Jupyter notebooks are a great way to have code, output, images, video, and other information in one place. Notebooks are an ideal tool for the student, research scientist, and even software developer. In this lesson we will go over the basic features of Jupyter notebooks and how to use them.

jupyter unidata

An Introduction to Earth and Environmental Data Science

Author: Kerry Key, Ryan Abernathey
Institution: Lamont-Doherty Earth Observatory

This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education ...more

course pangeo

The Climate Laboratory

Author: Brian Rose
Institution: University of Albany

A hands on approach to climate physics and climate modeling. Fundamental climate processes are introduced through interactive and reproducible Python-based modeling exercises. This JupyterBook serves as a course textbook at the University of Albany.

atmospheric-science book climate-science climlab course

Earth Analytics Python Course

Author: Earth Lab
Institution: University of Colorado Boulder

Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data’. This course is designed for graduate students and students participating ...more

course

Earth Data Science

Author: Earth Lab
Institution: University of Colorado Boulder

This site contains open, tutorials and course materials covering topics including data integration, GIS and data intensive science.

course

Geohackweek 2019

Author: eScience Institute
Institution: University of Washington

Geohackweek is a 5-day hackweek to be held at the University of Washington eScience Institute. Tutorials from the hackweek are available for everyone to follow (participants and non-participants alike).

course

Research Software Engineering with Python

Author: Damien Irving, et al.

We believe every researcher should know how to write short programs that clean and analyze data in a reproducible way and how to use version control to keep track of what they have done. But just as some astronomers spend their careers designing telescopes, some researchers focus on building the software ...more

course

Data Analysis with Python- Zero to Pandas

Author: Jovian.ai

"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

course

MTH271- Mathematical Computing with Data

Author: Jay Gopalakrishnan
Institution: Portland State University

In this course, we will have multiple occasions to procure, analyze, and visualize data. We will study mathematical and statistical techniques to discern patterns in complex data. We shall do so in an ecosystem of python computing modules developed by open-source enthusiasts worldwide.

course

ATSC301- Atmospheric Radiation and Remote Sensing

Author: Philip Austin
Institution: University of British Columbia

This course teaches radiation and remote sensing, but also covers: how to write clear, documented and tested code that can ingest, manipulate and display data, and how to turn equations into computer algorithms in Python.

course remote-sensing

Introduction to Geospatial Concepts

Author: The Carpentries

The goal of this lesson is to provide an introduction to core geospatial data concepts. It is intended for learners who have no prior experience working with geospatial data, and as a pre-requisite for the R for Raster and Vector Data lesson . This lesson can be taught in approximately 75 minutes and ...more

course

Dani Arribas-Bel Course Repositories

Author: Dani Arribas-Bel
Institution: University of Liverpool Department of Geography and Planning

A collection of courework repositories for various data science classes taught by Dani Arribas-Bel.

course data-science

Cartopy Documentation

Author: UK Met Office

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

cartopy documentation

Cartopy Gallery

Author: UK Met Office

Visual examples demonstrating some of the functionality of Cartopy, particularly its matplotlib interface.

cartopy gallery

Contextily Documentation

Author: Dani Arribas-Bel & Contexily Contributors

contextily is a small Python 3 (3.6 and above) package to retrieve tile maps from the internet. It can add those tiles as basemap to matplotlib figures or write tile maps to disk into geospatial raster files. Bounding boxes can be passed in both WGS84 (EPSG:4326) and Spheric Mercator (EPSG:3857).

contextily documentation gallery

Contextily Tutorial

Author: Dani Arribas-Bel & Contexily Contributors

Welcome to the taster guide for contextily, the package for contextual tiles in Python. In this notebook, we will show the basic functionality available in contextily, a package to work with web-tiles for background maps. To do that, we will use additional data to illustrate contextily can be integrated ...more

contextily tutorial

Dask

Author: Dask core developers

Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love.

dask documentation

Dask Tutorial

Author: Dask Developers

Dask is a parallel computing library that scales the existing Python ecosystem. This tutorial will introduce Dask and parallel data analysis more generally.

dask tutorial

GeoCAT Tutorial

Author: GeoCat
Institution: NCAR

The examples below show GeoCAT-comp functions being utilized in real-world use cases. They also demonstrate how GeoCAT-comp can be used to make plots with Matplotlib (using Cartopy) and PyNGL (work in progress).

geocat-comp tutorial

GeoCAT Gallery

Author: GeoCAT
Institution: NCAR

A gallery of plotting examples from GeoCat.

data-visualization gallery geocat-comp geocat-viz

GeoPandas Documentation

Author: GeoPandas developers

GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for ...more

documentation geopandas

GeoPandas Gallery

Author: GeoPandas developers

Examples that show off the functionality in GeoPandas. They highlight many of the things you can do with this package, and show off some best-practices.

gallery geopandas

hvPlot

Author: HoloViz developers

hvPlot provides a high-level plotting API built on HoloViews that provides a general and consistent API for plotting data in all the abovementioned formats. hvPlot can integrate neatly with the individual libraries if an extension mechanism for the native plot APIs is offered, or it can be used as a ...more

documentation hvPlot

hvPlot Tutorial

Author: HoloViz developers

The user guide provides a detailed introduction to the API and features of hvPlot. In the Introduction you will learn how to activate the plotting API and start using it. Next you will learn to use the API for tabular data and get an overview of the types of plots you can generate and how to customize ...more

data-visualization hvPlot tutorial

hvPlot Gallery

Author: HoloViz developers

Incomplete Reference Gallery containing some small examples of different plot types using hvPlot.

data-visualization gallery hvPlot

Ipyleaflet

Author: The Jupyter development team

Interactive maps in the Jupyter notebook.

documentation ipyleaflet

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

MetPy

Author: MetPy developers
Institution: Unidata

MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.

documentation metpy

MetPy Tutorial

Author: MetPy developers
Institution: Unidata

This collection of tutorials (under development) demonstrates the use of MetPy to perform common meteorological tasks.

metpy tutorial

Unidata Python Workshop- MetPy

Author: Anonymous
Institution: Unidata

MetPy is a modern meteorological open-source toolkit for Python. It is a maintained project of Unidata to serve the academic meteorological community. MetPy consists of three major areas of functionality: plots, calculations, and file i/o.

metpy tutorial

MetPy Gallery

Author: MetPy Developers
Institution: Unidata

Examples of using a variety of MetPy’s functionality together.

gallery metpy

Unidata Gallery

Author: Anonymous
Institution: Unidata

Check out detailed examples for atmospheric science and meteorology, from data analysis to publication-quality figures.

atmospheric-science gallery

Unidata MetPy Mondays

Author: Anonymous
Institution: Unidata

A weekly video series showing how to use MetPy or other Python libraries to solve problems relevant to geoscience applications.

metpy video

Numpy

Author: NumPy

The fundamental package for scientific computing with Python.

documentation numpy

Numpy Tutorials

Author: NumPy

A curated collection of external resources teaching numpy from beginner to advanced uses.

numpy

Unidata Numpy Workshop

Author: Anonymous
Institution: Unidata

Unidata Numpy tutorial that covers how to create an array of ‘data’, perform basic calculations on this data using python math functions, and slice and index the array.

numpy tutorial

Intro to Numerical Computing with NumPy

Author: A. Chabot-LeClerc
Institution: Enthought

NumPy provides Python with a powerful array processing library and an elegant syntax that is well suited to expressing computational algorithms clearly and efficiently. We'll introduce basic array syntax and array indexing, review some of the available mathematical functions in NumPy, and discuss how ...more

numpy video

Pandas

Author: Pandas Development Team

Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

documentation pandas

Pandas Tutorials

Author: Pandas Development Team

Tutorial for getting started with pandas.

pandas tutorial

Pandas Gallery

Author: Pandas Development Team

A gallery of example pandas functionality.

gallery pandas

Rasterio

Author: MapBox

Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON.

documentation rasterio

Rasterio Tutorial

Author: MapBox

This document explains how to use Rasterio to read existing files and to create new files. Some advanced topics are glossed over to be covered in more detail elsewhere in Rasterio’s documentation.

rasterio tutorial

Siphon

Author: Siphon Contributors
Institution: Unidata

Siphon is a collection of Python utilities for downloading data from remote data services. Much of Siphon’s current functionality focuses on access to data hosted on a THREDDS Data Server. It also provides clients to a variety of simple web services.

documentation siphon

Siphon Tutorial

Author: Anonymous
Institution: Unidata

An overview on Siphon from the Unidata Python Workshop that: uses Siphon to access a THREDDS catalog, filters data, and uses Siphon to perform remote data access.

siphon tutorial

Siphon Gallery

Author: Siphon Contributors
Institution: Unidata

Examples of using Siphon’s functionality.

gallery siphon

WRF-Python

Author: Anonymous
Institution: NCAR

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

documentation wrf-python

WRF-Python Gallery

Author: Anonymous
Institution: NCAR

Examples of how wrf-python can be used to make plots with matplotlib (with basemap and cartopy) and PyNGL. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly.

gallery wrf-python

Xarray

Author: Xarray Developers

xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!

Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, …more

documentation xarray

Unidata Xarray Workshop

Author: Anonymous
Institution: Unidata

An introduction to Xarray through the Unidata Python Workshop that asks, "What is XArray and how does XArray fit in with Numpy and Pandas?"" by creating a DataArray, openning netCDF data using XArray, and subsetting the data.

tutorial xarray

Xarray Tutorial

Author: Xarray Developers

A collection of tutorials provided by the Xarray developers.

tutorial xarray

Python Programming for Earth Science Students

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

Python Programming for Earth Science Students

matplotlib numpy pandas pure-python scipy tutorial

Pangeo Gallery

Author: Pangeo Community
Institution: Pangeo

A gallery of different Pangeo use cases

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

Python for Atmosphere and Ocean Science

Author:
Institution: 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

atmospheric-science cartopy climate-science course dask matplotlib numpy xarray

Python for Geosciences

Author: Nikolay Koldunov

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

Your First Python Tutorial - Reading in a .txt File

Author: Julia Kent, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers setting up a work environment and opening a .txt file. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

pure-python pythia video xdev

Your First Python Tutorial - Creating a Data Dictionary

Author: Julia Kent, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers creating a data dictionary. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

pure-python pythia video xdev

Your First Python Tutorial - Writing Functions

Author: Julia Kent, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to write and call functions in Python. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

pure-python pythia video xdev

Your First Python Tutorial - Creating Your Own Package

Author: Julia Kent, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to create and call modules and packages. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

pure-python pythia video xdev

Your First Python Tutorial - Using a Built-In Package and Publishing Your Package

Author: Julia Kent, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to use your first external buil-in package, `math`, and how to publish your package. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

pure-python pythia video xdev

Python Tutorial Seminar Series - Jupyter Notebooks

Author: Project Pythia, Kevin Paul
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.

jupyter pythia video xdev

Python Tutorial Seminar Series - Numpy

Author: Project Pythia, A Kootz
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `numpy`. The content to follow along with this video is hosted on this Numpy Google Collab.

numpy pythia video xdev

Python Tutorial Seminar Series - Matplotlib

Author: Anissa Zacharias, Project Pythia
Institution: 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 pythia video xdev

Python Tutorial Seminar Series - Object Oriented Programming

Author: Project Pythia, A Kootz
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing Object Oriented Programming. The content to follow along with this video is hosted in this Object Oriented Programming Tutorial GitHub Repository.

pythia video xdev

Python Tutorial Seminar Series - Cartopy

Author: Michaela Sizemore, Project Pythia
Institution: 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 pythia video xdev

Python Tutorial Seminar Series - Git and GitHub

Author: Project Pythia, Kevin Paul
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the tools Git and GitHub. The content to follow along with this tutorial is hosted in this Git and GitHub Demo GitHub Repository.

git pythia video xdev

Python Tutorial Seminar Series - Pandas

Author: Drew Camron, Project Pythia, Max Grover
Institution: NCAR

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

pandas pythia video xdev

Python Tutorial Seminar Series - Xarray Part 1

Author: Anderson Banihirwe, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

pythia video xarray xdev

Python Tutorial Seminar Series - Xarray Part 2

Author: Anderson Banihirwe, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

pythia video xarray xdev

Python Tutorial Seminar Series - Dask Part 1

Author: Anderson Banihirwe, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

dask pythia video xdev

Python Tutorial Seminar Series - Dask Part 2

Author: Anderson Banihirwe, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

dask pythia video xdev

Python Tutorial Seminar Series - Plotting with GeoCAT

Author: Anissa Zacharias, Project Pythia
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing advanced plotting techniques and highlighting tools developed by GeoCAT. The content to follow along with this video is hosted in this Plotting with GeoCat GitHub Repository.

data-visualization geocat-viz pythia video xdev

Python Tutorial Seminar Series - GeoCAT-Comp

Author: Project Pythia, A Kootz
Institution: NCAR

Recording from the Python Tutorial Seminar Series introducing `geocat-comp`. The content to follow along with this video is hosted in this GeoCat-Comp GitHub Repository.

geocat-comp pythia video xdev

The Pythia Foundations Book

Author: Project Pythia

Brought to you by Project Pythia, this growing collection covers the foundational skills everyone needs to get started with scientific computing in the open-source Python ecosystem.

book pythia

Pythia Foundations - Getting started with Python

Author: Project Pythia

This chapter of the Project Pythia Foundations book covers Python spin-up for new users. Here you will look at your first Python code and learn to run/install Python on various platforms.

book pure-python pythia

Pythia Foundations - Getting started with Jupyter

Author: Project Pythia

This chapter of the Project Pythia Foundations book covers Python spin-up using Jupyter. Here you will learn about the JupyterLab interface and markdown formatting.

book jupyter pythia

Pythia Foundations - Getting started with GitHub

Author: Project Pythia

This chapter of the Project Pythia Foundations book covers GitHub: what it is, basic version control, and how to open a pull request.

book git pythia

Pythia Foundations - Numpy

Author: Project Pythia

This chapter of the Project Pythia Foundations book covers the Python package NumPy: NumPy basics, intermediate NumPy, and NumPy broadcasting.

book numpy pythia

Pythia Foundations - Matplotlib

Author: Project Pythia

This chapter of the Project Pythia Foundations book covers basics of the Python package Matplotlib.

book data-visualization matplotlib pythia

Pythia Foundations - Cartopy

Author: Project Pythia

This chapter of the Project Pythia Foundations book introduces the Python package Cartopy, a package designed for geospatial data processing and used for its ability to produce maps.

book cartopy data-visualization pythia

Pythia Foundations - Datetime

Author: Project Pythia

This section of the Project Pythia Foundations book contains tutorials on dealing with times and calendars in scientific Python, beginning with use of the datetime standard library.

book datetime pythia

Pythia Foundations - Pandas

Author: Project Pythia

This section of the Project Pythia Foundations book covers Pandas, a very powerful library for working with tabular data (i.e. anything you might put in a spreadsheet – a common data type in the geosciences).

book pandas pythia

Pythia Foundations - Data Formats

Author: Project Pythia

This section of the Project Pythia Foundations book covers how to interact in Python with data file formats in widespread use in the geosciences, such as NetCDF.

book data-formats netCDF4 pythia

Pythia Foundations - Xarray

Author: Project Pythia

This section of the Project Pythia Foundations book contains tutorials on using Xarray. Xarray is used widely in the geosciences and beyond for analysis of gridded N-dimensional datasets.

book pythia xarray