python-for-hydrology
Focusing on general python for data analysis in hydrologic contexts and the python interface into MODFLOW for groundwater modeling.
https://github.com/DOI-USGS/python-for-hydrology
Category: Sustainable Development
Sub Category: Education
Keywords from Contributors
hydrology groundwater modflow water earth-science prms modflow6 surfacehydrology swb groundwater-modelling
Last synced: about 21 hours ago
JSON representation
Repository metadata
python and flopy tutorials for hydrologic applications and MODFLOW modeling
- Host: GitHub
- URL: https://github.com/DOI-USGS/python-for-hydrology
- Owner: DOI-USGS
- License: other
- Created: 2022-09-16T16:44:54.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-09-26T14:27:59.000Z (3 months ago)
- Last Synced: 2025-10-25T06:14:05.129Z (2 months ago)
- Language: Jupyter Notebook
- Size: 490 MB
- Stars: 62
- Watchers: 3
- Forks: 22
- Open Issues: 1
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
README.md
python-for-hydrology
Welcome to the USGS python for hydrology and flopy course. This is organized into two parts: part 0 focusing on general python for data analysis in hydrologic contexts, and part 1 focusing on flopy - the python interface into MODFLOW for groundwater modeling.
The main curriculum is found in the notebooks folder and includes tutorial notebooks and activities.
Click here to see a rendered version of the course notebooks.
We encourage students to explore these materials for their own study or to reach out to USGS to attend an in-person course.
If you are on the code.usgs.gov site, note that up-to-date changes are maintained on the version on the GitHub version.
Suggested Citation:
Fienen MN, Hughes, JD, Langevin, CL, Larsen, JD, and Leaf, AT. 2024.
python-for-hydrology
U.S. Geological Survey software release. Reston, VA.
https://doi.org/10.5066/P1QTRYJY
Owner metadata
- Name: U.S. Geological Survey
- Login: DOI-USGS
- Email: gs_help_git@usgs.gov
- Kind: organization
- Description: By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.
- Website: https://www.usgs.gov/
- Location: United States of America
- Twitter: USGS
- Company:
- Icon url: https://avatars.githubusercontent.com/u/65027635?v=4
- Repositories: 59
- Last ynced at: 2023-06-11T08:40:17.441Z
- Profile URL: https://github.com/DOI-USGS
GitHub Events
Total
- Issues event: 7
- Watch event: 20
- Issue comment event: 20
- Push event: 44
- Pull request event: 38
- Fork event: 8
Last Year
- Issues event: 7
- Watch event: 18
- Issue comment event: 20
- Push event: 44
- Pull request event: 38
- Fork event: 7
Committers metadata
Last synced: 2 months ago
Total Commits: 367
Total Committers: 11
Avg Commits per committer: 33.364
Development Distribution Score (DDS): 0.616
Commits in past year: 81
Committers in past year: 9
Avg Commits per committer in past year: 9.0
Development Distribution Score (DDS) in past year: 0.728
| Name | Commits | |
|---|---|---|
| Mike Fienen | m****n@u****v | 141 |
| Leaf, Andrew T | a****f@u****v | 98 |
| jlarsen | j****n@u****v | 68 |
| Joseph Hughes | j****s@u****v | 27 |
| ncorson-dosch | n****h@u****v | 11 |
| Langevin, Christian D | l****n@u****v | 9 |
| Laura DeCicco | l****o@u****v | 4 |
| Jahn, Kalle L | k****n@u****v | 4 |
| Mike Taves | m****s@g****m | 2 |
| George Dang | 5****g | 2 |
| wpbonelli | w****i@u****u | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 16
Total pull requests: 228
Average time to close issues: 2 months
Average time to close pull requests: about 5 hours
Total issue authors: 5
Total pull request authors: 10
Average comments per issue: 0.5
Average comments per pull request: 0.12
Merged pull request: 209
Bot issues: 0
Bot pull requests: 0
Past year issues: 7
Past year pull requests: 42
Past year average time to close issues: 2 months
Past year average time to close pull requests: about 9 hours
Past year issue authors: 3
Past year pull request authors: 8
Past year average comments per issue: 0.43
Past year average comments per pull request: 0.45
Past year merged pull request: 34
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- mnfienen (9)
- langevin-usgs (2)
- mcekiz (2)
- jlarsen-usgs (2)
- aleaf (1)
Top Pull Request Authors
- mnfienen (96)
- aleaf (48)
- jlarsen-usgs (30)
- jdhughes-usgs (27)
- langevin-usgs (14)
- ntdosch (6)
- kallejahn (2)
- mwtoews (2)
- gtdang (2)
- wpbonelli (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
- actions/cache v2.1.0 composite
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- modflowpy/install-modflow-action v1 composite
- actions/checkout v3 composite
- mamba-org/setup-micromamba main composite
- JamesIves/github-pages-deploy-action 3.7.1 composite
- actions/checkout v3 composite
- mamba-org/setup-micromamba v1 composite
- modflowpy/install-modflow-action v1 composite
- actions/checkout v4 composite
- mamba-org/setup-micromamba main composite
- affine
- dataretrieval
- descartes
- fiona
- flopy >=3.7
- geojson
- geopandas
- geos
- gis-utils
- git
- imageio
- jupyter
- jupyterlab
- jupytext
- matplotlib
- modflow-export
- modflow-setup
- netcdf4
- numpy
- openpyxl
- pandas
- pip
- pyproj
- pyshp
- pytest
- python 3.11.*
- python-dateutil
- pyvista
- pyyaml
- rasterio
- rasterstats
- requests
- rioxarray
- rtree
- scipy
- sfrmaker
- shapely
- statsmodels
- uxarray
- vtk
- xarray
- xlrd
Score: 6.541029999189903