Week 6 overview
Contents
Week 6 overview¶
Announcements¶
HW2 will be assigned tomorrow (Wed. 9/27, due Wed. 10/11)
HW1 will be marked by end-of-day Thursday 9/28
Thursday office hour will be from 2:30 - 3:30 in room ETEC 483
Due to fall break, in-class lecture will take place Thursday 10/12
Be sure you are keeping up with weekly participation activities!
Learning Objectives:¶
Gridded Data with Xarray
GRIB formatted data
Analysis-ready, cloud-optimized (ARCO) gridded datasets in Zarr format
Error handling in Python
Git and GitHub: Branches and Pull Requests
Learning and Participation Activities with Due Dates (Tuesday, Oct. 3):¶
Xarray data analysis and visualization notebooks
a.
cdto your/spare11/atm533/<NetID>directoryb. Clone Kevin’s week6 folder:
git clone /spare11/atm533/ktyle/week6c. Open up a JupyterLab session on Turing
d. Browse to your atm533/week6 directory
e. Work through Xarray notebooks 6-9 (Notebooks 8, 9 demonstrated in class)
f. Create a notebook named ErrorHandling.ipynb. View this MetPy Monday video and write code cells in this notebook that correspond to the video.
Tip
Include Markdown cells to document your notebook!
Git and GitHub: Branches and Pull Requests
cd to your
/spare11/atm533/<netid>/github-sandboxfolder and work through these two chapters in Project Pythia Foundations:
Note: Be sure you are in the github-sandbox directory, *NOT* the github_sandbox directory!a. Branches
Note: Make sure you have completed working through the three previous GitHub chapters assigned last week!
Post any questions you have on the Week 6 Brightspace class forum.