Fall 2019 NCAR Python Tutorial

Announcing the Fall 2019 NCAR Python Tutorial (September 18-20)!

First, this tutorial will be workflow focused. That is, we will be teaching Python and some of the various Python tools through hands-on examples of real world workflows, such as the calculation of ocean heat content and ENSO index calculation. Our hope is to give you, on Day 1, examples of how to use these tools for real science, rather than delving into the tools themselves and hoping you can synthesize the information.

Second, Days 2 and 3 (Sept 19-20) will give you the opportunity to collaborate with each other on short projects (Sprints) or to attend optional lectures. We hope that you will be willing to contribute a Sprint idea. Don’t be afraid to contribute your ideas! They could be anything from a desire to convert your favorite IDL (or Matlab or NCL) script, to Python to adding a new feature to your favorite Python package, to developing a new Python package with the help of other people in the room, to fixing that bug that’s been bothering you for months! If you don’t have an idea of what you’d like to Sprint on, you can collaborate with other people on their Sprint ideas or sit in on optional lectures to learn more about Python and existing Python tools.

What we need from you:

We need all of you to do a little preparation before you attend the tutorial. There are multiple ways of participating in this tutorial, including running the example notebooks on Cheyenne or Casper or on your personal laptop. However you plan on participating in the tutorial, you need to follow the instructions described in the README here:

https://github.com/NCAR/ncar-python-tutorial.git

Office Hours:

For those needing help setting your environment up for the tutorial, we will be holding “Office Hours” from 9:00am to 12:00pm on Tuesday, Sept 17, in ML-490C (Tower B). Feel free to stop by if you have questions before the tutorial.

More information can be found at the Fall 2019 NCAR Python Tutorial Homepage