Unidata installation

New to Python? Learn the basics of this powerful programming language and see how you can use it for atmospheric science education and research. Looking for examples of how to use MetPy, Siphon, Xarray, Pandas, or other useful Python packages with your meteorological data? Check out our example gallery for ideas on how to analyze and visualize your data! Would you like to work through advanced examples of the scientific Python ecosystem, along with detailed visualizations of meteorological data?

Work through our workshop notebooks at your own pace, or come back to the material after attending on of our in-person workshops. Have an example of how you use Python for atmospheric science research or education? Share it with the community by contributing it to our gallery. Confused about something you read here? Add more documentation where you find it lacking! Check out our contributor's guide for information on how to help build this site! Installation consists of getting Conda what you'll use to manage your Python installation and packages , getting the workshop materials, then creating a copy of the environment we've created that contains the useful packages you'll need to follow along with the materials and do much of your domain specific work.

If you're unfamiliar with conda, plan on dedicating about 30 minutes to this process. If you are attending and in-person workshop we ask that you complete the installation steps before arriving at the workshop or arrive slightly early for help so we may begin on time.

You are also welcome to contact our Python team at any time with issues you encounter! Conda is a great way to manage multiple environments think sandboxes to work in, but more on that later. Start New Discussion. Create a new discussion If you're asking for technical help, please be sure to include all your system info, including operating system, model number, and any other specifics related to the problem.

Track this discussion and email me when there are updates. Reset Post Submit Post. Related Discussions. In addition to Tier I, install jupyter, for instance using Anaconda. To have your Case Study.

Documentation is here, from this github code repo. Display something meaningful in the IDV. These examples are also seen within the documentation in the Siphon Examples. Siphon 0. Installation Guide Python 2. Docs » Installation Guide Improve this page.