TutorialsΒΆ
These tutorials consist of Jupyter Notebooks that can be run in our preconfigured software environment. If you are attending the hackweek, you have access to a JupyterHub environment with all the necessary Python software packages installed that are needed to run through these tutorials interactively. On JupyterHub, your home directory persists so any changes you make to the tutorials will be saved and be there for you next time you log in.
Anyone can run these tutorials interactively on a temporary server via MyBinder.org, but notebooks requiring authenticated data access will run into errors:
All live tutorial recordings available via UW eScience YouTube Playlist. Or see the table below for links to specific tutorial notebooks and recordings:
Tutorial |
Topics |
Datasets |
Recording Link |
---|---|---|---|
Git, GitHub, JupyterHub |
n/a |
||
SnowEx, Airborne + field data |
Snow pit data |
||
HackWeek project tips |
n/a |
||
raster, vector, python |
DEMs, SNOTEL |
||
API access to NASA archives |
GPR |
||
databases, SQL |
All SnowEx datasets |
||
altimeters, point clouds |
ICESat2, ASO, snow depth |
||
energy balance |
in-situ, airborne, ASTER |
||
microstructure |
SMP, MicroCT |
||
snow depth |
GPR, Magnaprobe |
||
theory, snow depth |
Tensorflow, Keras |
||
theory, SWE |
Sentinel-1, UAVSAR, SWESARR |
||
snow depth |
2017,2020 field campaigns |
||
hydrologic modeling, data assimilation |
NASA LIS |
||
resources, open source software |
n/a |