Unidata Online Python Training

Learning Python for the Atmospheric Sciences at your own pace

View project on GitHub

Unidata’s Online Python Training

With support from the National Science Foundation, Unidata is working to create a collection of online training materials focused on the use of Python in the atmospheric sciences. While our examples and scenarios may feature Unidata tools and data technologies, our aim is to present a generic set of freely available tools that are generally useful to scientists, educators, and students in the geosciences, broadly defined.

Unidata staff are actively developing and curating the material here, but what you see today is an early version of what we envision for this resource. Please forgive the unfinished nature of the materials here, and feel free to give us your suggestions for additions or improvements by contacting Unidata Python Support.

Introduction

Getting Started

Git and Github

GitHub is a online platform for hosting code that promotes collaboration.

Installing Python

Jupyter Notebooks

Basic Python Syntax

Here are some good sources for learning the basics of Python’s Syntax:

Beginning Python Concepts

What follows is a series of Jupyter notebooks on learning Python with geoscience objectives. You can either peruse this material with the nbviewer links below or run the Jupyter notebooks interactively.

Scientific Python Packages

Python for Meteorology

  • Siphon
  • Metpy

Support or Contact