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Week 5 overview


Announcements

Treat the fully-rendered notebooks as the “notebooks of record” for the class!

They will continually be updated for fixes and clarity.

In some cases, e.g. the NLDN notebook, you can interact with the content in your web browser.

Kevin has a couple of physical copies available to borrow!


Learning Objectives:

  1. Git and GitHub continued
  2. Gridded datasets

Learning and Participation Activities with Due Dates (Tuesday, Sep. 30, end of day):

In class, Tuesday 9/23

  1. Git and GitHub continued

    a. Access the class Jupyterhub server on Turing

    b. In the Launcher, open up a Terminal session

    c. cd to your atm533 folder: cd /spare11/atm533/<YourNetID>

    d. Type git clone git@github.com:DAES433533/week5

    f. You should then have a week5 folder visible in your atm533 directory, which contains one Jupyter notebook and a README.

    g. Create and check out a development branch for your Week 5 clone:

    • git checkout -b dev

    h. Follow along with the Git and GitHub activites demonstrated in class.

  2. Intro to Xarray

    Follow along with the Intro to Xarray notebook.

On your own:

  1. Attempt the suggested things to try at the end of the Intro to Xarray notebook.

  2. Stage and commit your revisions on your dev branch.

  3. When notified, pull updates to the origin repository to your main branch: