Course schedule
Course scheduleΒΆ
Note
This schedule is subject to change!
Week |
Period |
Topics |
Python Libraries |
Assignment Milestones |
|---|---|---|---|---|
1 |
Aug. 22-28 |
Introduction; Python and Jupyter |
Jupyterlab |
Survey, Set up GitHub account |
2 |
Aug. 29-Sep. 4 |
Git & Github; Plotting |
Matplotlib |
|
3 |
Sep. 5-11 |
Git and Github; Mapping |
Cartopy |
|
4 |
Sep. 12-18 |
Tabular datasets |
Pandas |
HW1 due |
5 |
Sep. 19-25 |
Georeferenced tabular datasets |
Geopandas |
|
6 |
Sep. 26-Oct 2 |
Gridded datasets |
Xarray, MetPy |
Set up RDA account |
7 |
Oct. 3-9 |
Cloud-served Gridded datasets |
Xarray, MetPy, Zarr |
HW2 due |
8 |
Oct. 10-16 |
Rasters and Shapefiles |
Rasterio, Contextily, Ipyleaflet |
|
9 |
Oct. 17-23 |
Satellite and Radar datasets |
Satpy, Py-Art |
Midterm assignment due |
10 |
Oct. 24-30 |
Cloud-optimized imagery |
Intake |
|
11 |
Oct. 31-Nov. 6 |
GPU-optimized data analysis/visualization |
RAPIDS-AI environment, Datashader |
HW 3 due |
12 |
Nov. 7-13 |
Interactive visualization |
Holoviz suite |
|
13 |
Nov. 14-20 |
Interactive visualization |
Holoviz suite |
HW 4 due |
14 |
Nov. 21-27 |
3D-viz |
PyVista |
|
15 |
Nov.28-Dec. 4 |
TBD |
||
16 |
Dec. 5-11 |
Project presentations |
Final Project due |