Unidata AMS 2021 Python Workshop


  • Are you looking to make the transition to Python but unsure of where to start?

  • Do you already know Python but want to see atmospheric science specific applications?

  • Are you looking for data?

If so, then please join us for a virtual hands-on AMS Student Conference Python Workshop where beginners and experts alike will learn skills that enhance their ability to find, analyze, and explore data. All the workshop resources will be in the cloud, so no specialized local software installations are necessary. All you need is a laptop or tablet (a keyboard may be helpful) and a GitHub ID to participate.


No prior experience with GitHub or Python is necessary to take part in this workshop!

Join us!

To join us: begin by registering for the workshop.

  • We’ll need your GitHub user ID in order to provision the cloud resources you’ll use for the workshop.

  • If you don’t have a GitHub ID yet, don’t worry — they’re easy to create and the accounts are free. Just click here to create one.


Please register by January 7, 2021, so we can get everything set up.

Kick off

Things will kick off with two identical orientation sessions during the AMS Student Conference:

  • Session A: Sunday, January 10, 2021, 1:00 PM - 1:30 PM EST

  • Session B: Sunday, January 10, 2021, 1:30 PM - 2:00 PM EST


    Pick one session to attend; they’ll both present the same information.


After the orientation, you’ll choose a project to work on over the course of the week. Check out a list of example projects that have been posted here.

We’ve tried to come up with some projects for each level of python experience (beginner, intermediate, and advanced).


Please feel free to come up with your own project idea, you are not limited to the ones we’ve brainstormed!

Remote Help

Remote follow-up help will be available. Take a look at the Asynchronous Workshop section of our agenda to learn about how and when to attend our “office hours”. Workshop sessions and office hours will be staffed by an elite team of student volunteers who have signed up to help show you how using Python can benefit your science.


In addition to the virtual office hours, we also have a Github repository set up to support our workshop. Please feel free to join in the discussions page if you have any questions or are looking for help.

For a detailed look at all the resources backing our workshop, checkout our github repository for yourself.

We hope you’ll join us for the workshop!