Week 4 overview

Participation Assessment¶

Learning Objectives:¶

1. Git and GitHub integration
2. Tabular datasets

• Parquet format
• Alternatives to Pandas
• Interactive display with Geopandas

3. Performance monitoring

Learning and Participation Activities with Due Dates (Tuesday, Sep. 23, end of day):¶

In class, Tuesday 9/16¶

1. Review last week’s notebooks

• Helene track map and time series
• HURDAT2 Atlantic Basin analysis and visualization

2. Clone the week4 directory:

   a. Access the class Jupyterhub server on Turing

   b. In the Launcher, open up a Terminal session

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

   d. Follow the steps described in class to set up your secure API key in GitHub.

   e. Type git clone git@github.com:DAES433533/week4

   f. You should then have a week4 folder visible in your atm533 directory, which contains one Jupyter notebook.

   g. Open and run the notebook; then close and shut it down after you are done!

   h. Make a copy of the notebook and experiment with your own code.

   i. Save, stage and commit your edits to these notebooks as often as you’d like (more often is better!)

   j. Attempt at least item 1 on HW1

HW1: Due End of Day, Tuesday September 9/30¶