seaduck
A python package that interpolates data from ocean dataset from both Eulerian and Lagrangian perspective.
Quick Start
>>> import seaduck as sd
Documentation
Seaduck documentation: https://macekuailv.github.io/seaduck/
Citation
Please cite our paper on the Journal of Open Source Software
Jiang et al., (2023). Seaduck: A python package for Eulerian and Lagrangian interpolation on ocean datasets. Journal of Open Source Software, 8(92), 5967, https://doi.org/10.21105/joss.05967
Workflow for developers/contributors
For best experience create a new conda environment (e.g. bubblebath):
conda create -n bubblebath
conda activate bubblebath
Before pushing to GitHub, run the following commands:
- Update conda environment:
make conda-env-update - Install this package:
pip install -e . - Run quality assurance checks:
make qa - Run tests:
make unit-tests - Run the static type checker:
make type-check - Build the documentation:
make docs-build - Build the pdf version of the paper
make joss
License
Copyright 2023, Wenrui Jiang.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Release files for seaduck 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seaduck-1.0.5.tar.gz | 730.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seaduck-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 801.9 kB
Release files / seaduck-1.0.5.tar.gz
| Download URL | seaduck-1.0.5.tar.gz |
|---|---|
| Size | 730.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c65d16ebac0e37448c770dc18fc82700a7e3f67833babf407ecec3ac79d992c2
|
|
BLAKE2b-256 checksum How to use checksums |
073cfa881bdf1d5ccf923463819fdfb4f73c7256533fa0e60361590ab4767b5e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 21, 2026.
Transparency logRelease files / seaduck-1.0.5-py3-none-any.whl
| Download URL | seaduck-1.0.5-py3-none-any.whl |
|---|---|
| Size | 71.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f0867c3ba8a8c721e464ccde7c86bab1c00410991a5a68313553d82f1bb880fc
|
|
BLAKE2b-256 checksum How to use checksums |
dae0eef12d31efe4c47ca804ae7ffbbf62f273bf1c6069e6bb055f6b46a14b24
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 21, 2026.
Transparency log